Dave Van Veen

29 total papers · 1.1k total citations
10 papers, 329 citations indexed

About

Dave Van Veen is a scholar working on Artificial Intelligence, Molecular Biology and Health Informatics. According to data from OpenAlex, Dave Van Veen has authored 10 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Health Informatics. Recurrent topics in Dave Van Veen's work include Topic Modeling (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Natural Language Processing Techniques (3 papers). Dave Van Veen is often cited by papers focused on Topic Modeling (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Natural Language Processing Techniques (3 papers). Dave Van Veen collaborates with scholars based in United States, Switzerland and Canada. Dave Van Veen's co-authors include Gordon Wetzstein, Jeong Joon Park, David B. Lindell, Akshay Chaudhari, Curtis P. Langlotz, Christian Bluethgen, Asad Aali, Sergios Gatidis, Anuj Pareek and Malgorzata Polacin and has published in prestigious journals such as Nature Medicine, Radiology and International Journal of Molecular Sciences.

In The Last Decade

Dave Van Veen

8 papers receiving 320 citations

Hit Papers

Adapted large language mo... 2024 2026 2024 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Dave Van Veen 151 114 59 50 34 10 329
Oliver Wang 109 0.7× 42 0.4× 43 0.7× 52 1.0× 11 0.3× 12 353
Omer Gottesman 94 0.6× 42 0.4× 23 0.4× 12 0.2× 14 0.4× 11 337
Firas Khader 153 1.0× 52 0.5× 182 3.1× 78 1.6× 10 0.3× 17 348
André Carrington 201 1.3× 97 0.9× 59 1.0× 24 0.5× 23 0.7× 7 346
Takuma Shibahara 98 0.6× 34 0.3× 20 0.3× 116 2.3× 22 0.6× 15 355
Jean-Benoit Delbrouck 201 1.3× 134 1.2× 93 1.6× 23 0.5× 57 1.7× 13 336
Catalina Gómez 103 0.7× 77 0.7× 64 1.1× 21 0.4× 12 0.4× 18 318
Benjamin Kompa 124 0.8× 71 0.6× 59 1.0× 22 0.4× 30 0.9× 8 325
Joseph C. Tsai 60 0.4× 17 0.1× 93 1.6× 44 0.9× 28 0.8× 21 260
Nazish Khalid 95 0.6× 89 0.8× 48 0.8× 18 0.4× 14 0.4× 12 276

Countries citing papers authored by Dave Van Veen

Since Specialization
Citations

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

Fields of papers citing papers by Dave Van Veen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dave Van Veen. 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 Dave Van Veen. The network helps show where Dave Van Veen may publish in the future.

Co-authorship network of co-authors of Dave Van Veen

This figure shows the co-authorship network connecting the top 25 collaborators of Dave Van Veen. A scholar is included among the top collaborators of Dave Van Veen 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 Dave Van Veen. Dave Van Veen 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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