Karin Verspoor
Impact in
- Health Informatics top 1%
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Machine Learning in Healthcare
Papers in
-
- Biomedical Text Mining and Ontologies 116
- Bioinformatics and Genomic Networks 20
- Machine Learning in Bioinformatics 15
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- Topic Modeling 74
- Natural Language Processing Techniques 52
- Semantic Web and Ontologies 30
- Machine Learning in Healthcare 19
- Advanced Text Analysis Techniques 16
- Co-authors
- Timothy Baldwin (39 shared papers)Lawrence Hunter (20 shared papers)Kevin Bretonnel Cohen (19 shared papers)William A. Baumgartner (14 shared papers)Fernando Martín-Sánchez (2 shared papers)Justin Zobel (21 shared papers)Haibin Liu (9 shared papers)Doris Hoogeveen (5 shared papers)
- Journals
- BMC Bioinformatics (16 papers)Database (10 papers)Journal of Biomedical Informatics (10 papers)Journal of Biomedical Semantics (9 papers)PLoS ONE (7 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Karin Verspoor
241 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 168
- Health Informatics 143
- Artificial Intelligence 2.0k
- Health Information Management 155
- Molecular Biology 1.9k
- Applied Microbiology and Biotechnology 42
Countries citing papers authored by Karin Verspoor
This map shows the geographic impact of Karin Verspoor'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 Karin Verspoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Verspoor more than expected).
Fields of papers citing papers by Karin Verspoor
This network shows the impact of papers produced by Karin Verspoor. 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 Karin Verspoor. The network helps show where Karin Verspoor may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Verspoor, 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 256 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 193 | |
| 2 | 2014 | 151 | |
| 3 | 2017 | 136 | |
| 4 | 2013 | 125 | |
| 5 | 2010 | 119 | |
| 6 | 2012 | 109 | |
| 7 | 2014 | 91 | |
| 8 | 2012 | 88 | |
| 9 | 2022 | 62 | |
| 10 | 2022 | 59 | |
| 11 | 2016 | 58 | |
| 12 | 2014 | 58 | |
| 13 | 2013 | 57 | |
| 14 | 2020 | 54 | |
| 15 | 2016 | 51 | |
| 16 | 2006 | 50 | |
| 17 | 2020 | 50 | |
| 18 | 2020 | 50 | |
| 19 | 2009 | 49 | |
| 20 | 2015 | 49 |
About Karin Verspoor
Karin Verspoor is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Epidemiology and Genetics, having authored 256 papers that have together received 4.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (116 papers), Topic Modeling (74 papers), Natural Language Processing Techniques (52 papers), Semantic Web and Ontologies (30 papers), Bioinformatics and Genomic Networks (20 papers), Machine Learning in Healthcare (19 papers), Advanced Text Analysis Techniques (16 papers) and Machine Learning in Bioinformatics (15 papers). The work is most often cited by research in Health Informatics (143 citations), Artificial Intelligence (2.0k citations), Health Information Management (155 citations), Molecular Biology (1.9k citations) and Applied Microbiology and Biotechnology (42 citations). Karin Verspoor has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Timothy Baldwin, Lawrence Hunter, Kevin Bretonnel Cohen, William A. Baumgartner, Fernando Martín-Sánchez, Justin Zobel, Haibin Liu, Doris Hoogeveen, Dat Quoc Nguyen and Christophe Roeder. Their work appears in journals such as BMC Bioinformatics, Database, Journal of Biomedical Informatics, Journal of Biomedical Semantics and PLoS ONE.
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.