Nees Jan van Eck, PhD

Nees Jan van Eck is senior researcher at the Centre for Science and Technology Studies (CWTS) at Leiden University in the Netherlands. He is doing research in the field of bibliometrics and scientometrics. His research focuses on the development of visualization tools and algorithms, mainly for analyzing the structure and development of science. Nees Jan is the main developer of VOSviewer and CitNetExplorer, two well-known software tools for visualizing bibliometric data. The VOSviewer software is frequently used in bibliometric studies. More than 20,000 publications have appeared in international scientific journals in which the software is employed. In addition to his work on bibliometric visualization, Nees Jan also focuses on the study of bibliometric data sources and the analysis of the full text of scientific publications. Nees Jan has published more than 80 publications. He is editor brief communications of the Journal of the Association for Information Science and Technology, he serves in the editorial boards of Journal of Data and Information Science and Quantitative Science Studies, and he served as an elected board member of the International Society for Informetrics and Scientometrics between 2015 and 2023. Nees Jan has been involved in various commercial bibliometric research projects and training courses in which the VOSviewer software plays a key role. He is also coordinator of the Information & Openness focal area of CWTS and the head of data science of CWTS, making him responsible for the entire data infrastructure of the center.

See also Nees Jan's personal website.

Publications

Journal publications (70)

• Colavizza, G., Costas, R., Traag, V.A., Van Eck, N.J., Van Leeuwen, T.N., & Waltman, L. (2021). A scientometric overview of CORD-19. PLoS ONE, 16(1), e0244839. (paper)
• Lamers, W.S., Boyack, K.W., Larivière, V., Sugimoto, C., Van Eck, N.J., Waltman, L., & Murray, D.S. (2021). Meta-Research: investigating disagreement in the scientific literature, e72737. eLife, 10. (paper)
• Visser, M.S., Van Eck, N.J., & Waltman, L. (2021). Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. Quantitative Science Studies, 2(1), 20-41. (paper)
• Ahlgren, P., Chen, Y., Colliander, C., & Van Eck, N.J. (2020). Enhancing direct citations: a comparison of relatedness measures for community detection in a large set of PubMed publications. Quantitative Science Studies, 1(2), 714-729. (paper)
• D'Angelo, C.A., & Van Eck, N.J. (2020). Collecting large-scale publication data at the level of individual researchers: A practical proposal for author name disambiguation. Scientometrics, 123(2), 883-907. (paper)
• Donner, P., Rimmert, C., & Van Eck, N.J. (2020). Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems. Quantitative Science Studies, 1(1), 150-170. (paper)
• Subelj, L., Waltman, L., Traag, V.A., & Van Eck, N.J. (2020). Intermediacy of publications. Royal Society Open Science, 7(1), 190207. (paper)
• Waltman, L., Boyack, K.W., Colavizza, G., & Van Eck, N.J. (2020). A principled methodology for comparing relatedness measures for clustering publications. Quantitative Science Studies, 1(2), 691-713. (paper)
• Siegle, G.J., Cramer, A.O.J., Van Eck, N.J., Spinhoven, P., Hollon, S.D., Ormel, J., Strege, M., & Bockting, C.L.H. (2019). Where are the breaks in translation from theory to clinical practice (and back) in addressing depression? An empirical graph-theoretic approach. Psychological Medicine, 49(16), 2681-2691. (paper)
• Traag, V.A., Waltman, L., & Van Eck, N.J. (2019). From Louvain to Leiden: guaranteeing well-connected communities, e5233. Scientific Reports, 9. (paper)
• Boyack, K.W., Van Eck, N.J., Colavizza, G., & Waltman, L. (2018). Characterizing in-text citations in scientific articles: A large-scale analysis. Journal of Informetrics, 12(1), 59-73. (paper)
• Colavizza, G., Boyack, K.W., Van Eck, N.J., & Waltman, L. (2018). The Closer the Better: Similarity of publication pairs at different co-citation levels. Journal of the Association for Information Science and Technology, 69(4), 600-609. (paper)
• Flis, I., & Van Eck, N.J. (2018). Framing psychology as a discipline : A large-scale term co-occurrence analysis of scientific literature in psychology (1950-1999). History of Psychology, 21(4), 334-362. (paper)
• Mahieu, R., Van Eck, N.J., Van Putten, D., & Van den Hoven, J. (2018). From dignity to security protocols: A scientometric analysis of digital ethics. Ethics and Information Technology, 20(3), 175-187. (paper)
• Palmblad, M., & Van Eck, N.J. (2018). Bibliometric analyses reveal patterns of collaboration between ASMS members. Journal of The American Society for Mass Spectrometry, 29(3), 447-454. (paper)
• Van Eck, N.J., & Waltman, L. (2018). Analyzing the activities of visitors of the Leiden Ranking website. Journal of Data and Information Science, 3(3), 81-98. (paper)
• Zahedi, Z., & Van Eck, N.J. (2018). Exploring topics of interest of Mendeley users. Journal of Altmetrics, 1(1), 5. (paper)
• Boyack, K.W., Glänzel, W., Gläser, J., Havemann, F., Scharnhorst, A., Thijs, B., Van Eck, N.J., Van Velden, T., & Waltman, L. (2017). Topic identification challenge. Scientometrics, 111(2), 1223-1224. (paper)
• Van Eck, N.J., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053-1070. (paper)
• Olensky, M., Schmidt, M., & Van Eck, N.J. (2016). Evaluation of the Citation Matching Algorithms of CWTS and iFQ in Comparison to the Web of Science. Journal of the Association for Information Science and Technology, 67(10), 2550-2564. (paper)
• Perianes-Rodriguez, A., Waltman, L., & Van Eck, N.J. (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics, 10(4), 1178-1195. (paper)
• Subelj, L., Van Eck, N.J., & Waltman, L. (2016). Clustering scientific publications based on citation relations: A systematic comparison of different methods. PLoS ONE, 11(4), e0154404. (paper)
• Waltman, L., Van Eck, N.J., Visser, M.S., & Wouters, P. (2016). The elephant in the room: The problem of quantifying productivity in evaluative scientometrics. Journal of Informetrics, 10(2), 671-674. (paper)
• Waltman, L., & Van Eck, N.J. (2015). Field-normalized citation impact indicators and the choice of an appropriate counting method. Journal of Informetrics, 9(4), 872-894. (paper)
• Rizzi, F., Van Eck, N.J., & Frey, M. (2014). The production of scientific knowledge on renewable energies: Worldwide trends, dynamics and challenges and implications for management. Renewable Energy, 62, 657-671. doi:10.1016/j.renene.2013.08.030 (paper)
• Rodrigues, S.P., Van Eck, N.J., Waltman, L., & Jansen, F.W. (2014). Mapping patient safety: A large-scale literature review using bibliometric visualisation techniques. BMJ Open, 4(3), e004468. doi:10.1136/bmjopen-2013-004468 (paper)
• Van Eck, N.J., & Waltman, L. (2014). CitNetExplorer: A new software tool for analyzing and visualizing citation networks. Journal of Informetrics, 8(4), 802-823. doi:10.1016/j.joi.2014.07.006 (paper)
• Van Eck, N.J., Waltman, L., Van Raan, A.F.J., Klautz, R.J.M., & Peul, W.C. (2013). Citation analysis may severely underestimate the impact of clinical research as compared to basic research. PLoS ONE, 8(4), e62395. doi:10.1371/journal.pone.0062395 (paper)
• Waltman, L., & Van Eck, N.J. (2013). A smart local moving algorithm for large-scale modularity-based community detection. The European Physical Journal B, 86(11), e471. doi:10.1140/epjb/e2013-40829-0 (paper)
• Waltman, L., & Van Eck, N.J. (2013). A systematic empirical comparison of different approaches for normalizing citation impact indicators. Journal of Informetrics, 7(4), 833-849. doi:10.1016/j.joi.2013.08.002 (paper)
• Waltman, L., & Van Eck, N.J. (2013). Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison. Scientometrics, 96(3), 699-716. doi:10.1007/s11192-012-0913-4 (paper)
• Waltman, L., Van Eck, N.J., & Wouters, P. (2013). Counting publications and citations: Is more always better? Journal of Informetrics, 7(3), 635-641. doi:10.1016/j.joi.2013.04.001 (paper)
• Waltman, L., Van Eck, N.J., Dekker, R., & Kaymak, U. (2013). An evolutionary model of price competition among spatially distributed firms. Computational Economics, 42(4), 373-391. doi:10.1007/s10614-012-9358-3 (paper)
• Waltman, L., Van Eck, N.J., Van Leeuwen, T.N., & Visser, M.S. (2013). Some modifications to the SNIP journal impact indicator. Journal of Informetrics, 7(2), 272-285. doi:10.1016/j.joi.2012.11.011 (paper)
• Waltman, L., & Van Eck, N.J. (2012). A mathematical analysis of the long-run behavior of genetic algorithms for social modeling. Soft Computing, 16(6), 1071-1089. doi:10.1007/s00500-012-0804-x (paper)
• Waltman, L., & Van Eck, N.J. (2012). A new methodology for constructing a publication-level classification system of science. Journal of the American Society for Information Science and Technology, 63(12), 2378-2392. doi:10.1002/asi.22748 (paper)
• Waltman, L., & Van Eck, N.J. (2012). The Inconsistency of the h-index. Journal of the American Society for Information Science and Technology, 63(2), 406-415. doi:10.1002/asi.21678 (paper)
• Waltman, L., Calero-Medina, C.M., Kosten, M.J.F., Noyons, E.C.M., Tijssen, R.J.W., Van Eck, N.J., Van Leeuwen, T.N., Van Raan, A.F.J., Visser, M.S., & Wouters, P. (2012). The Leiden Ranking 2011/2012: Data collection, indicators, and interpretation. Journal of the American Society for Information Science and Technology, 63(12), 2419-2432. doi:10.1002/asi.22708 (paper)
• Waltman, L., Costas, R., & Van Eck, N.J. (2012). Some limitations of the h Index: a commentary on Ruscio and colleagues' analysis of bibliometric indices. Measurement: Interdisciplinary Research and Perspectives, 10(3), 172-175. doi:10.1080/15366367.2012.716260 (paper)
• Waltman, L., Van Eck, N.J., & Van Raan, A.F.J. (2012). Universality of citation distributions revisited. Journal of the American Society for Information Science and Technology, 63(1), 72-77. doi:10.1002/asi.21671 (paper)
• Heersmink, R., Van der Hoven, J., Van Eck, N.J., & Van den Berg, J. (2011). Bibliometric mapping of computer and information ethics. Ethics and Information Technology, 13(3), 241-249. doi:10.1007/s10676-011-9273-7 (paper)
• Tijssen, R.J.W., Waltman, L., & Van Eck, N.J. (2011). Collaborations span 1,553 kilometres. , 473(7346), 154-154. doi:10.1038/473154a (paper)
• Van Eck, N.J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. ISSI Newsletter, 7(3), 50-54.
• Waaijer, C.J.F., Van Bochove, C.A., & Van Eck, N.J. (2011). On the map: Nature and Science editorials. Scientometrics, 86(1), 99-112. (paper)
• Waltman, L., Tijssen, R.J.W., & Van Eck, N.J. (2011). Globalisation of science in kilometres. Journal of Informetrics, 5(4), 574-582. doi:10.1016/j.joi.2011.05.003 (paper)
• Waltman, L., Van Eck, N.J., & Dekker, R. (2011). Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies. Journal of Evolutionary Economics, 21(5), 737-756. doi:10.1007/s00191-010-0177-1 (paper)
• Waltman, L., Van Eck, N.J., & Yan, E. (2011). A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science. Scientometrics, 89(1), 301-314. doi:10.1007/s11192-011-0449-z (paper)
• Waltman, L., Van Eck, N.J., Van Leeuwen, T.N., Visser, M.S., & Van Raan, A.F.J. (2011). On the correlation between bibliometric indicators and peer review: Reply to Opthof and Leydesdorff. Scientometrics, 88(3), 1017-1022. (paper)
• Waltman, L., Van Eck, N.J., Van Leeuwen, T.N., Visser, M.S., & Van Raan, A.F.J. (2011). Towards a new crown indicator: An empirical analysis. Scientometrics, 87(3), 467-481. (paper)
• Waltman, L., Van Eck, N.J., Van Leeuwen, T.N., Visser, M.S., & Van Raan, A.F.J. (2011). Towards a new crown indicator: Some theoretical considerations. Journal of Informetrics, 5(1), 37-47. doi:10.1016/j.joi.2010.08.001 (paper)
• Zuccala, A., & Van Eck, N.J. (2011). Poverty research in a development policy context. Development Policy Review, 29(3), 311-330. doi:10.1111/j.1467-7679.2011.00535.x (paper)
• Van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. doi:10.1007/s11192-009-0146-3 (paper)
• Van Eck, N.J., Waltman, L., Dekker, R., & Van den Berg, J. (2010). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology, 61(12), 2405-2416. doi:10.1002/asi.21421 (paper)
• Van Eck, N.J., Waltman, L., Noyons, E.C.M., & Buter, R.K. (2010). Automatic term identification for bibliometric mapping. Scientometrics, 82(3), 581-596. doi:10.1007/s11192-010-0173-0 (paper)
• Van Raan, A.F.J., Van Leeuwen, T.N., Visser, M.S., Van Eck, N.J., & Waltman, L. (2010). Rivals for the crown: Reply to Opthof and Leydesdorff. Journal of Informetrics, 4(3), 431-435. doi:10.1016/j.joi.2010.03.008 (paper)
• Waaijer, C.J.F., Van Bochove, C.A., & Van Eck, N.J. (2010). Journal Editorials give indication of driving science issues. , 463, 157-157. doi:10.1038/463157a (paper)
• Waltman, L., & Van Eck, N.J. (2010). The relation between Eigenfactor, audience factor, and influence weight. Journal of the American Society for Information Science and Technology, 61(7), 1476-1486. doi:10.1002/asi.21354 (paper)
• Waltman, L., Van Eck, N.J., & Noyons, E.C.M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629-635. doi:10.1016/j.joi.2010.07.002 (paper)
• Van Eck, N.J., & Waltman, L. (2009). How to Normalize Cooccurrence Data? An Analysis of Some Well-Known Similarity Measures. Journal of the American Society for Information Science and Technology, 60(8), 1635-1651. doi:10.1002/asi.21075 (paper)
• Van Eck, N.J., & Waltman, L. (2009). On the proper understanding of the limiting behavior of generalizations of the h- and g-indices. Journal of Informetrics, 3(4). doi:10.1016/j.joi.2009.02.002 (paper)
• Waltman, L., & Van Eck, N.J. (2009). A simple alternative to the h-index. ISSI Newsletter, 5(3), 46-48.
• Waltman, L., & Van Eck, N.J. (2009). Robust Evolutionary Algorithm Design for Socio-Economic Simulation: Some Comments. Computational Economics, 33(1), 103-105. doi:10.1007/s10614-008-9148-0 (paper)
• Waltman, L., & Van Eck, N.J. (2009). Some comments on Egghe's derivation of the impact factor distribution. Journal of Informetrics, 3(4), 363-366. doi:10.1016/j.joi.2009.05.004 (paper)
• Van Eck, N.J., & Van Wezel, M. (2008). Application of reinforcement learning to the game of Othello. Computers & Operations Research, 35(6), 1999-2017. doi:10.1016/j.cor.2006.10.004 (paper)
• Van Eck, N.J., & Waltman, L. (2008). Appropriate similarity measures for author co-citation analysis. Journal of the American Society for Information Science and Technology, 59(10), 1653-1661. doi:10.1002/asi.20872 (paper)
• Van Eck, N.J., & Waltman, L. (2008). Generalizing the h- and g- indices. Journal of Informetrics, 2(4), 263-271. doi:10.1016/j.joi.2008.09.004 (paper)
• Waltman, L., & Van Eck, N.J. (2008). Some comments on the journal weighted impact factor proposed by Habibzadeh and Yadollahie. Journal of Informetrics, 2(4), 369-372. doi:10.1016/j.joi.2008.06.003 (paper)
• Van Eck, N.J., & Waltman, L. (2007). Bibliometric mapping of the computational intelligence field. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(5), 625-645. doi:10.1142/S0218488507004911 (paper)
• Waltman, L., & Van Eck, N.J. (2007). Some comments on the question whether co-occurrence data should be normalized. Journal of the American Society for Information Science and Technology, 58(11), 1701-1703. doi:10.1002/asi.20647 (paper)
• Van Eck, N.J., Waltman, L., Van den Berg, J., & Kaymak, U. (2006). Visualizing the computational intelligence field. IEEE Computational Intelligence Magazine, 1(4), 6-10. doi:10.1109/MCI.2006.329702 (paper)

Conference publications (43)

• Lamers, W.S., Van Eck, N.J., & Colavizza, G. (2021). An appraisal of publication embedding techniques in the context of conventional bibliometric relatedness measures. In Proceedings of the 18th International Conference of the International Society for Scientometrics and Informetrics (pp. 633-638). (paper)
• Van Eck, N.J., & Waltman, L. (2021). Crossref as a source of open bibliographic metadata. In W. Glänzel, S. Heeffer, P.-S. Chi, & R. Rousseau (Eds.), Proceedings of the 18th International Conference of the International Society for Scientometrics and Informetrics (pp. 1169-1174). (paper)
• Bascur, J.P., Verberne, S., Van Eck, N.J., & Waltman, L. (2020). Browsing citation clusters for academic literature search: a simulation study with systematic reviews. In G. Cabanac, I. Frommholz, & P. Mayr (Eds.), Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval (pp. 53-65). (paper)
• Ahlgren, P., Chen, Y., Colliander, C., & Van Eck, N.J. (2019). Community detection using citation relations and textual similarities in a large set of PubMed publications. In Proceedings of the 17th International Conference of the International Society for Scientometrics and Informetrics (pp. 1380-1391).
• Bascur, J.P., Van Eck, N.J., & Waltman, L. (2019). An interactive visual tool for scientific literature search: Proposal and algorithmic specification. In G. Cabanac, I. Frommholz, & P. Mayr (Eds.), Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (pp. 76-87). (paper)
• Donner, P., Rimmert, C., & Van Eck, N.J. (2019). Comparing institutional-level bibliometric indicator values based on different affiliation disambiguation systems. Benchmarking Web of Science and Scopus platform tools against a gold-standard data set for Germany. In Proceedings of the 17th International Conference of the International Society for Scientometrics and Informetrics (pp. 306-315).
• Lamers, W.S., Van Eck, N.J., & Waltman, L. (2019). Variations in citation practices across the scientific landscape: Analysis based on a large full-text corpus. In Proceedings of the 17th International Conference of the International Society for Scientometrics and Informetrics (pp. 2121-2132).
• Murray, D.S., Lamers, W.S., Boyack, K.W., Larivière, V., Sugimoto, C., Van Eck, N.J., & Waltman, L. (2019). Measuring disagreement in science. In Proceedings of the 17th International Conference of the International Society for Scientometrics and Informetrics (pp. 2370-2375).
• Subelj, L., Waltman, L., Traag, V.A., & Van Eck, N.J. (2019). Intermediacy of publications. In Proceedings of the 17th International Conference of the International Society for Scientometrics and Informetrics (pp. 1288-1300).
• Visser, M.S., Van Eck, N.J., & Waltman, L. (2019). Large-scale comparison of bibliographic data sources: Web of Science, Scopus, Dimensions, and Crossref. In Proceedings of the 17th International Conference of the International Society for Scientometrics and Informetrics (pp. 2358-2369).
• Lamers, W.S., Van Eck, N.J., Waltman, L., & Hoos, H.H. (2018). Patterns in citation context: The case of the field of scientometrics. In Proceedings of the 23rd International Conference on Science and Technology Indicators (pp. 1114-1122). (paper)
• Luwel, M.J.J., Van Eck, N.J., & Van Leeuwen, T.N. (2018). The Schön case: Analyzing in-text citations to papers before and after retraction. In Proceedings of the 23rd International Conference on Science and Technology Indicators (pp. 1025-1030). (paper)
• Ranjbar-Sahraei, B., & Van Eck, N.J. (2018). Accuracy of affiliation information in Microsoft Academic: Implications for institutional level research evaluation. In Proceedings of the 23rd International Conference on Science and Technology Indicators (pp. 1065-1067). (paper)
• Van Eck, N.J., & Waltman, L. (2018). Analyzing the activities of visitors of the Leiden Ranking website. In Proceedings of the 23rd International Conference on Science and Technology Indicators (pp. 857-867). (paper)
• Boyack, K.W., Van Eck, N.J., Colavizza, G., & Waltman, L. (2017). Reference behavior in the full text of scientific articles: A large-scale analysis. In Proceedings of the 16th International Conference of the International Society for Scientometrics and Informetrics (pp. 787-798).
• Colavizza, G., Boyack, K.W., Van Eck, N.J., & Waltman, L. (2017). Exploring the similarity of articles co-cited at different levels. In Proceedings of the 16th International Conference of the International Society for Scientometrics and Informetrics (pp. 549-560).
• Van Eck, N.J., & Waltman, L. (2017). Accuracy of citation data in Web of Science and Scopus. In Proceedings of the 16th International Conference of the International Society for Scientometrics and Informetrics (pp. 1087-1092).
• Van Eck, N.J., & Waltman, L. (2017). Using full-text data to create improved term maps. In Proceedings of the 16th International Conference of the International Society for Scientometrics and Informetrics (pp. 1136-1141).
• Waltman, L., Boyack, K.W., Colavizza, G., & Van Eck, N.J. (2017). A principled methodology for comparing relatedness measures for clustering publications. In Proceedings of the 16th International Conference of the International Society for Scientometrics and Informetrics (pp. 691-702).
• Waltman, L., & Van Eck, N.J. (2016). The need for contextualized scientometric analysis: An opinion paper. In Proceedings of the 21st International Conference on Science and Technology Indicators (pp. 541-549). (paper)
• Waltman, L., & Van Eck, N.J. (2015). Field-normalized citation impact indicators and the choice of an appropriate counting method. In Proceedings of the 15th International Conference of the International Society for Scientometrics and Informetrics (pp. 328-339). (paper)
• Zahedi, Z., & Van Eck, N.J. (2015). Identifying topics of interest of Mendeley users using the text mining and overlay visualization functionality of VOSviewer. In Proceedings of the 20th International Conference on Science and Technology Indicators. (paper)
• Caron, E., & Van Eck, N.J. (2014). Large scale author name disambiguation using rule-based scoring and clustering. In Proceedings of the 19th International Conference on Science and Technology Indicators (pp. 79-86).
• Van Eck, N.J., & Waltman, L. (2014). CitNetExplorer: A new software tool for analyzing and visualizing citation networks. In Proceedings of the 19th International Conference on Science and Technology Indicators (pp. 181-192).
• Zahedi, Z., & Van Eck, N.J. (2014). Visualizing readership activity of Mendeley users using VOSviewer. In altmetrics14: expanding impacts and metrics - An ACM Web Science Conference 2014 Altmetrics Workshop. doi:10.6084/m9.figshare.1041819 (paper)
• Waltman, L., & Van Eck, N.J. (2013). A systematic empirical comparison of different approaches for normalizing citation impact indicators. In Proceedings of the 14th International Conference of the International Society for Scientometrics and Informetrics (pp. 1649-1664).
• Waltman, L., Wouters, P., & Van Eck, N.J. (2013). Counting publications and citations: Is more always better? 14th International Conference of the International Society for Scientometrics and Informetrics, Vienna. In Proceedings of the 14th International Conference of the International Society for Scientometrics and Informetrics (pp. 455-467).
• Tijssen, R.J.W., Waltman, L., & Van Eck, N.J. (2012). Research collaboration and the expanding science grid: Measuring globalization processes worldwide. In Proceedings of the 17th International Conference on Science and Technology Indicators (pp. 779-790).
• Waltman, L., & Van Eck, N.J. (2012). Constructing a publication-level classification system of science. In Proceedings of the 17th International Conference on Science and Technology Indicators (pp. 803-814).
• Waltman, L., Calero-Medina, C.M., Kosten, M.J.F., Noyons, E.C.M., Tijssen, R.J.W., Van Eck, N.J., Van Leeuwen, T.N., Van Raan, A.F.J., Visser, M.S., & Wouters, P. (2012). The Leiden Ranking 2011/2012: Data collection, indicators, and interpretation. In Proceedings of the 17th International Conference on Science and Technology Indicators (pp. 791-802).
• Luwel, M.J.J., Noyons, E.C.M., & Van Eck, N.J. (2011). A comparative bibliometric analysis of the STI and the ISSI conference series. In Proceedings of the 13th International Conference of the International Society for Scientometrics and Informetrics (pp. 505-514).
• Van Eck, N.J., Tijssen, R.J.W., & Waltman, L. (2011). Globalization of public-private research in worldwide science: co-publication trends and geographical distances between research partners . In Proceedings of the 2011 Atlanta Conference on Science and Innovation Policy.
• Van Eck, N.J., Waltman, L., & Tijssen, R.J.W. (2011). Globalization of science: Geographical distance measurements of research collaboration. In Proceedings of the 13th International Conference of the International Society for Scientometrics and Informetrics (pp. 181-186).
• Van Eck, N.J., & Waltman, L. (2009). VOSviewer: A computer program for bibliometric mapping . In Proceedings of the 12th International Conference of the International Society for Scientometrics and Informetrics.
• Van Eck, N.J., & Waltman, L. (2009). VOSviewer: A computer program for bibliometric mapping. In Proceedings of the 12th International Conference of the International Society for Scientometrics and Informetrics (pp. 886-897).
• Waltman, L., & Van Eck, N.J. (2009). A Taxonomy of Bibliometric Performance Indicators Based on the Property of Consistency. In Proceedings of the 12th International Conference of the International Society for Scientometrics and Informetrics (pp. 1002-1003).
• Van Eck, N.J., Frasincar, F., & Chang, D. (2008). Cluster-based visualization of concept associations. In Proceedings of the 12th International Conference on Information Visualisation (pp. 409-414). doi:10.1109/IV.2008.54 (paper)
• Kruse, R., Borgelt, C., Nauck, D.D., Van Eck, N.J., & Steinbrecher, M. (2007). The role of soft computing in intelligent data analysis. In Final Program and Abstracts of the 2007 IEEE International Conference on Fuzzy Systems (pp. 9-17).
• Soni, A., Van Eck, N.J., & Kaymak, U. (2007). Prediction of stock price movements based on concept map information. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (pp. 205-211). doi:10.1109/MCDM.2007.369438 (paper)
• Van Eck, N.J., Frasincar, F., & Van den Berg, J. (2006). Visualizing concept associations using concept density maps. In Proceedings of the 10th International Conference on Information Visualisation (pp. 270-275). doi:10.1109/IV.2006.128 (paper)
• Van Eck, N.J., Waltman, L., Van den Berg, J., & Kaymak, U. (2006). Visualizing the WCCI 2006 knowledge domain. In Proceedings of the 2006 IEEE International Conference on Fuzzy Systems (pp. 1671-1678). doi:10.1109/FUZZY.2006.1681931 (paper)
• Van Eck, N.J., Waltman, L., & Van den Berg, J. (2005). A novel algorithm for visualizing concept associations. In Proceedings of the 16th International Workshop on Database and Expert Systems Applications (pp. 405-409). doi:10.1109/DEXA.2005.23 (paper)
• Van den Berg, J., Van Eck, N.J., Waltman, L., & Kaymak, U. (2004). A VICORE architecture for intelligent knowledge management. In Proceedings of the KDNet Symposium on Knowledge-Based Services for the Public Sector (pp. 63-74).

Book chapters (4)

• Waltman, L., & Van Eck, N.J. (2019). Field normalization of scientometric indicators. In W. Glänzel, H.F. Moed, U. Schmoch, & M. Thelwall (Eds.), Springer Handbook of Science and Technology Indicators (pp. 281-300). Springer. doi:10.1007/978-3-030-02511-3_11 (paper)
• Van Eck, N.J., & Waltman, L. (2014). Visualizing bibliometric networks. In Y. Ding, R. Rousseau, & D. Wolfram (Eds.), Measuring Scholarly Impact (pp. 285-320). Springer International Publishing. doi:10.1007/978-3-319-10377-8_13 (paper)
• Soni, A., Van Eck, N.J., & Kaymak, U. (2013). Predicting stock price movements from concept map information. In N.S. Thomaidis, & G.H. Dash (Eds.), Recent Advances in Computational Finance (pp. 173-186). Nova Science Publishers.
• Van Eck, N.J., & Waltman, L. (2007). VOS: A new method for visualizing similarities between objects. In R. Decker, & H.J. Lenz (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization (pp. 299-306). Springer. doi:10.1007/978-3-540-70981-7_34 (paper)