| Clustering articles based on semantic similarity S Wang, R Koopman Scientometrics 111, 1017-1031, 2017 | 77 | 2017 |
| Comparison of topic extraction approaches and their results T Velden, KW Boyack, J Gläser, R Koopman, A Scharnhorst, S Wang Scientometrics 111, 1169-1221, 2017 | 65 | 2017 |
| Contextualization of topics: Browsing through the universe of bibliographic information R Koopman, S Wang, A Scharnhorst Scientometrics 111, 1119-1139, 2017 | 27 | 2017 |
| Mutual information based labelling and comparing clusters R Koopman, S Wang Scientometrics 111 (2), 1157-1167, 2017 | 27 | 2017 |
| Ariadne's thread: Interactive navigation in a world of networked information R Koopman, S Wang, A Scharnhorst, G Englebienne Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015 | 24 | 2015 |
| Semantic Embedding for Information Retrieval. S Wang, R Koopman BIR@ ECIR, 122-132, 2017 | 21 | 2017 |
| A philosophical perspective on visualization for digital humanities H Van Den Berg, A Betti, T Castermans, R Koopman, B Speckmann, ... 2018 Workshop on Visualization for Digital Humanities, 2018 | 14 | 2018 |
| Hierarchical structuring of cultural heritage objects within large aggregations S Wang, A Isaac, V Charles, R Koopman, A Agoropoulou, T Van Der Werf Research and Advanced Technology for Digital Libraries: International …, 2013 | 14 | 2013 |
| Bolvis: visualization for text-based research in philosophy P Van Wierst, S Hofstede, Y Oortwijn, T Castermans, R Koopman, S Wang, ... 3rd Workshop on Visualization for the Digital Humanities, 2018 | 11 | 2018 |
| Bibliometrics and information retrieval: Creating knowledge through research synergies J Bar‐Ilan, M John, R Koopman, S Wang, P Mayr, A Scharnhorst, ... Proceedings of the Association for Information Science and Technology 53 (1 …, 2016 | 10 | 2016 |
| Fast and Discriminative Semantic Embedding. R Koopman, S Wang, G Englebienne IWCS (1), 235-246, 2019 | 8 | 2019 |
| Contextualization of topics-browsing through terms, authors, journals and cluster allocations R Koopman, S Wang, A Scharnhorst arXiv preprint arXiv:1504.04208, 2015 | 8 | 2015 |
| Solarview: low distortion radial embedding with a focus T Castermans, K Verbeek, B Speckmann, MA Westenberg, R Koopman, ... IEEE transactions on visualization and computer graphics 25 (10), 2969-2982, 2018 | 6 | 2018 |
| Bolzano, Kant and the Traditional Theory of Concepts: A Computational Investigation A Ginammi, R Koopman, S Wang, J Bloem, A Betti Pittsburgh, Pa. University of Pittsburgh Press, 2022 | 3 | 2022 |
| Where should I publish? Detecting journal similarity based on what have been published there R Koopman, S Wang IEEE/ACM Joint Conference on Digital Libraries, 483-484, 2014 | 2 | 2014 |
| Embed First, Then Predict S Wang, R Koopman KO KNOWLEDGE ORGANIZATION 46 (5), 364-370, 2019 | | 2019 |
| A two-step approach toward subject prediction R Koopman, S Wang 17th International Conference on Scientometrics and Informetrics, ISSI 2019 …, 2019 | | 2019 |
| Non-Parametric Subject Prediction S Wang, R Koopman, G Englebienne Digital Libraries for Open Knowledge: 23rd International Conference on …, 2019 | | 2019 |
| An innovative approach to scalable semantic embedding R Koopman, S Wang | | 2017 |
| Same Data, Different Results? On a Comparative Topic Extraction Exercise T Velden, K Boyack, N van Eck, W Glänzel, J Gläser, F Havemann, ... | | |
Shenghui Wang 王胜惠University of TwentePreverjeni e-poštni naslov na utwente.nl
