Suzan Verberne
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Information Systems top 2%
- Information Retrieval and Search Behavior
- Expert finding and Q&A systems
Papers in
-
- Topic Modeling 59
- Natural Language Processing Techniques 45
- Advanced Text Analysis Techniques 27
- Semantic Web and Ontologies 14
- Speech and dialogue systems 13
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- Information Retrieval and Search Behavior 19
- Web Data Mining and Analysis 14
- Co-authors
- Wessel Kraaij (35 shared papers)Maya Sappelli (18 shared papers)Lou Boves (21 shared papers)Eva D’Hondt (13 shared papers)P.A.J.M. Coppen (9 shared papers)Saskia Koldijk (5 shared papers)Nelleke Oostdijk (11 shared papers)Mark A. Neerincx (2 shared papers)
- Journals
- Language Resources and Evaluation (5 papers)ACM SIGIR Forum (4 papers)Computational Linguistics (3 papers)Information Retrieval (3 papers)Information Processing & Management (2 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Suzan Verberne
126 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 657
- Information Systems 264
- Management of Technology and Innovation 75
- Health Informatics 14
- Experimental and Cognitive Psychology 117
Countries citing papers authored by Suzan Verberne
This map shows the geographic impact of Suzan Verberne's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suzan Verberne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzan Verberne more than expected).
Fields of papers citing papers by Suzan Verberne
This network shows the impact of papers produced by Suzan Verberne. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suzan Verberne. The network helps show where Suzan Verberne may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzan Verberne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 157 | |
| 2 | 2012 | 42 | |
| 3 | 2018 | 41 | |
| 4 | 2007 | 40 | |
| 5 | 2019 | 38 | |
| 6 | 2010 | 36 | |
| 7 | 2010 | 29 | |
| 8 | Discourse-based answering of why-questions | 2007 | 28 |
| 9 | 2016 | 27 | |
| 10 | 2021 | 26 | |
| 11 | Quantifying the Challenges in Parsing Patent Claims | 2010 | 26 |
| 12 | 2020 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2016 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2013 | 18 | |
| 18 | 2008 | 18 | |
| 19 | 2006 | 16 | |
| 20 | Patent classification experiments with the Linguistic Classification System LCS | 2010 | 15 |
About Suzan Verberne
Suzan Verberne is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Sociology and Political Science and Information Systems and Management, having authored 140 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (59 papers), Natural Language Processing Techniques (45 papers), Advanced Text Analysis Techniques (27 papers), Information Retrieval and Search Behavior (19 papers), Biomedical Text Mining and Ontologies (19 papers), Semantic Web and Ontologies (14 papers), Web Data Mining and Analysis (14 papers) and Speech and dialogue systems (13 papers). The work is most often cited by research in Artificial Intelligence (657 citations), Information Systems (264 citations), Management of Technology and Innovation (75 citations), Health Informatics (14 citations) and Experimental and Cognitive Psychology (117 citations). Suzan Verberne has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Wessel Kraaij, Maya Sappelli, Lou Boves, Eva D’Hondt, P.A.J.M. Coppen, Saskia Koldijk, Nelleke Oostdijk, Mark A. Neerincx, C. H. A. Koster and N.H.J. Oostdijk. Their work appears in journals such as Language Resources and Evaluation, ACM SIGIR Forum, Computational Linguistics, Information Retrieval and Information Processing & Management.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.