Don R. Swanson

85 total papers · 5.2k total citations
65 papers, 3.4k citations indexed

About

Don R. Swanson is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Don R. Swanson has authored 65 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Don R. Swanson's work include Biomedical Text Mining and Ontologies (23 papers), Semantic Web and Ontologies (8 papers) and Advanced Text Analysis Techniques (8 papers). Don R. Swanson is often cited by papers focused on Biomedical Text Mining and Ontologies (23 papers), Semantic Web and Ontologies (8 papers) and Advanced Text Analysis Techniques (8 papers). Don R. Swanson collaborates with scholars based in United States. Don R. Swanson's co-authors include Neil R. Smalheiser, Abraham Bookstein, Vetle I. Torvik, Marc Weeber, Christine A. Montgomery, Kenneth A. Weaver and Lewis S. Seiden and has published in prestigious journals such as Science, American Psychologist and Neurology.

In The Last Decade

Don R. Swanson

61 papers receiving 2.9k citations

Hit Papers

Fish Oil, Raynaud's Syndr... 1986 2026 1999 2012 1986 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Don R. Swanson 1.7k 1.7k 735 272 241 65 3.4k
Makoto Miwa 3.1k 1.8× 1.6k 1.0× 325 0.4× 196 0.7× 321 1.3× 105 4.3k
Kevin Bretonnel Cohen 2.6k 1.5× 2.8k 1.6× 289 0.4× 218 0.8× 122 0.5× 139 4.4k
Padmini Srinivasan 1.9k 1.1× 752 0.4× 1.2k 1.7× 217 0.8× 204 0.8× 175 3.5k
Hong Yu 3.2k 1.8× 1.9k 1.1× 357 0.5× 143 0.5× 104 0.4× 172 4.5k
Özlem Uzuner 4.1k 2.4× 2.8k 1.6× 329 0.4× 107 0.4× 352 1.5× 113 5.3k
Jinhyuk Lee 3.1k 1.8× 2.0k 1.2× 255 0.3× 261 1.0× 180 0.7× 43 4.5k
Donghyeon Kim 2.9k 1.7× 1.7k 1.0× 240 0.3× 244 0.9× 183 0.8× 24 4.0k
Maria Liakata 2.4k 1.4× 571 0.3× 985 1.3× 101 0.4× 77 0.3× 107 4.3k
Neil R. Smalheiser 1.0k 0.6× 4.4k 2.6× 298 0.4× 126 0.5× 361 1.5× 141 7.2k
Natasha Noy 2.0k 1.2× 1.4k 0.8× 796 1.1× 107 0.4× 336 1.4× 58 2.9k

Countries citing papers authored by Don R. Swanson

Since Specialization
Citations

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

Fields of papers citing papers by Don R. Swanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don R. Swanson. 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 Don R. Swanson. The network helps show where Don R. Swanson may publish in the future.

Co-authorship network of co-authors of Don R. Swanson

This figure shows the co-authorship network connecting the top 25 collaborators of Don R. Swanson. A scholar is included among the top collaborators of Don R. Swanson 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 Don R. Swanson. Don R. Swanson 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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