| Fostering open science to research using a taxonomy and an eLearning portal N Pontika, P Knoth, M Cancellieri, S Pearce Proceedings of the 15th international conference on knowledge technologies …, 2015 | 232 | 2015 |
| CORE: three access levels to underpin open access P Knoth, Z Zdrahal D-Lib Magazine 18 (11/12), 1-13, 2012 | 106 | 2012 |
| An analysis of the microsoft academic graph D Herrmannova, P Knoth D-lib Magazine 22 (9/10), 37, 2016 | 80 | 2016 |
| Predicting student performance from combined data sources A Wolff, Z Zdrahal, D Herrmannova, P Knoth Educational data mining: Applications and trends, 175-202, 2014 | 53 | 2014 |
| Towards semantometrics: A new semantic similarity based measure for assessing a research publication’s contribution P Knoth, D Herrmannova D-Lib Magazine 20 (11), 8, 2014 | 51 | 2014 |
| Building recommender systems for scholarly information M Hristakeva, D Kershaw, M Rossetti, P Knoth, B Pettit, S Vargas, K Jack Proceedings of the 1st workshop on scholarly web mining, 25-32, 2017 | 38 | 2017 |
| Indicators of research quality, quantity, openness, and responsibility in institutional review, promotion, and tenure policies across seven countries N Pontika, T Klebel, A Correia, H Metzler, P Knoth, T Ross-Hellauer Quantitative Science Studies 3 (4), 888-911, 2022 | 37 | 2022 |
| Stepping up Open Science training for European research B Schmidt, A Orth, G Franck, I Kuchma, P Knoth, J Carvalho Publications 4 (2), 16, 2016 | 37 | 2016 |
| An authoritative approach to citation classification D Pride, P Knoth Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 …, 2020 | 36 | 2020 |
| A meta-analysis of semantic classification of citations SN Kunnath, D Herrmannova, D Pride, P Knoth Quantitative science studies 2 (4), 1170-1215, 2021 | 32 | 2021 |
| Towards effective research recommender systems for repositories P Knoth, L Anastasiou, A Charalampous, M Cancellieri, S Pearce, ... arXiv preprint arXiv:1705.00578, 2017 | 32 | 2017 |
| Incidental or influential?–A decade of using text-mining for citation function classification. D Pride, P Knoth | 32 | 2017 |
| Incidental or influential?-challenges in automatically detecting citation importance using publication full texts D Pride, P Knoth Research and Advanced Technology for Digital Libraries: 21st International …, 2017 | 32 | 2017 |
| Towards a framework for comparing automatic term recognition methods P Knoth, M Schmidt, P Smrz, Z Zdrahal | 28 | 2009 |
| Peer review and citation data in predicting university rankings, a large-scale analysis D Pride, P Knoth International conference on theory and practice of digital libraries, 195-207, 2018 | 25 | 2018 |
| Overview of the 2020 WOSP 3C citation context classification task SN Kunnath, D Pride, B Gyawali, P Knoth Proceedings of the 8th international workshop on mining scientific …, 2020 | 24 | 2020 |
| Open science taxonomy N Pontika, P Knoth Foster, 2015 | 23 | 2015 |
| Visual search for supporting content exploration in large document collections D Herrmannova, P Knoth D-Lib Magazine 18 (7), 8, 2012 | 23 | 2012 |
| Automation of citation screening for systematic literature reviews using neural networks: A replicability study W Kusa, A Hanbury, P Knoth European Conference on Information Retrieval, 584-598, 2022 | 21 | 2022 |
| Do citations and readership identify seminal publications? D Herrmannova, RM Patton, P Knoth, CG Stahl Scientometrics 115 (1), 239-262, 2018 | 20 | 2018 |
Drahomira HerrmannovaElsevierVerified email at elsevier.com
