Henk Harkema

30 total papers · 990 total citations
22 papers, 645 citations indexed

About

Henk Harkema is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Henk Harkema has authored 22 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Henk Harkema's work include Biomedical Text Mining and Ontologies (15 papers), Natural Language Processing Techniques (13 papers) and Topic Modeling (9 papers). Henk Harkema is often cited by papers focused on Biomedical Text Mining and Ontologies (15 papers), Natural Language Processing Techniques (13 papers) and Topic Modeling (9 papers). Henk Harkema collaborates with scholars based in United States, United Kingdom and Vietnam. Henk Harkema's co-authors include Wendy W. Chapman, John Dowling, Robert E. Schoen, Ateev Mehrotra, Melissa Saul, Evan S. Dellon, Robert Gaizauskas, Yikun Guo, Danielle L. Mowery and Richard D. Boyce and has published in prestigious journals such as Gastrointestinal Endoscopy, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Henk Harkema

21 papers receiving 599 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Henk Harkema 401 340 106 81 76 22 645
Anushi Shah 155 0.4× 432 1.3× 91 0.9× 49 0.6× 77 1.0× 26 793
Matthew Foster 228 0.6× 188 0.6× 37 0.3× 70 0.9× 74 1.0× 15 568
Saeed Mehrabi 514 1.3× 338 1.0× 51 0.5× 36 0.4× 129 1.7× 15 789
Susan Weber 130 0.3× 173 0.5× 60 0.6× 46 0.6× 116 1.5× 22 627
Sandra F. Jones 209 0.5× 122 0.4× 74 0.7× 28 0.3× 71 0.9× 11 583
Harold M. Schoolman 271 0.7× 341 1.0× 26 0.2× 35 0.4× 62 0.8× 32 665
Boris Oskotsky 116 0.3× 309 0.9× 122 1.2× 76 0.9× 42 0.6× 12 740
James D. Cowan 102 0.3× 179 0.5× 68 0.6× 26 0.3× 93 1.2× 12 735
Leonard DʼAvolio 118 0.3× 149 0.4× 57 0.5× 83 1.0× 90 1.2× 32 707
Margarita Sordo 321 0.8× 338 1.0× 15 0.1× 27 0.3× 174 2.3× 26 744

Countries citing papers authored by Henk Harkema

Since Specialization
Citations

This map shows the geographic impact of Henk Harkema'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 Henk Harkema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henk Harkema more than expected).

Fields of papers citing papers by Henk Harkema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henk Harkema. 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 Henk Harkema. The network helps show where Henk Harkema may publish in the future.

Co-authorship network of co-authors of Henk Harkema

This figure shows the co-authorship network connecting the top 25 collaborators of Henk Harkema. A scholar is included among the top collaborators of Henk Harkema based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Henk Harkema. Henk Harkema is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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