Dominic Widdows

99 total papers · 3.9k total citations
48 papers, 2.2k citations indexed

About

Dominic Widdows is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Dominic Widdows has authored 48 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 15 papers in Molecular Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Dominic Widdows's work include Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Biomedical Text Mining and Ontologies (14 papers). Dominic Widdows is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Biomedical Text Mining and Ontologies (14 papers). Dominic Widdows collaborates with scholars based in United States, Germany and Algeria. Dominic Widdows's co-authors include Trevor Cohen, Yvonne E. Cossart, A. M. Field, Beate Dorow, Kathleen J. Ferraro, Roger W. Schvaneveldt, Timothy Baldwin, Takaaki Tanaka, Colin Bannard and Stanley Peters and has published in prestigious journals such as The Lancet, Applied Sciences and Journal of Biomedical Informatics.

In The Last Decade

Dominic Widdows

44 papers receiving 2.0k citations

Hit Papers

PARVOVIRUS-LIKE PARTICLES... 1975 2026 1992 2009 1975 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Dominic Widdows 1.2k 685 475 419 226 48 2.2k
Roxana Daneshjou 686 0.6× 39 0.1× 99 0.2× 584 1.4× 37 0.2× 75 2.5k
Jeffrey A. Douglas 494 0.4× 142 0.2× 21 0.0× 250 0.6× 59 0.3× 51 3.1k
Stuart J. Nelson 777 0.7× 53 0.1× 32 0.1× 1.1k 2.6× 34 0.2× 83 2.3k
Chanté Karimkhani 63 0.1× 321 0.5× 826 1.7× 209 0.5× 40 0.2× 44 2.4k
Michael Nguyen 124 0.1× 521 0.8× 17 0.0× 422 1.0× 109 0.5× 61 2.6k
Peng Xu 218 0.2× 687 1.0× 18 0.0× 757 1.8× 24 0.1× 73 3.0k
David S. Leslie 313 0.3× 140 0.2× 11 0.0× 159 0.4× 101 0.4× 74 2.3k
Nicholas Eriksson 109 0.1× 101 0.1× 182 0.4× 609 1.5× 41 0.2× 25 2.4k
Waibhav Tembe 588 0.5× 28 0.0× 37 0.1× 1.1k 2.7× 40 0.2× 31 2.5k
David Martin 138 0.1× 568 0.8× 14 0.0× 109 0.3× 61 0.3× 69 2.3k

Countries citing papers authored by Dominic Widdows

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Widdows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominic Widdows

This figure shows the co-authorship network connecting the top 25 collaborators of Dominic Widdows. A scholar is included among the top collaborators of Dominic Widdows 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 Dominic Widdows. Dominic Widdows 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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