W. Dean Bidgood

39 total papers · 1.4k total citations
32 papers, 898 citations indexed

About

W. Dean Bidgood is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, W. Dean Bidgood has authored 32 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in W. Dean Bidgood's work include Biomedical Text Mining and Ontologies (13 papers), Digital Radiography and Breast Imaging (9 papers) and Radiology practices and education (7 papers). W. Dean Bidgood is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Digital Radiography and Breast Imaging (9 papers) and Radiology practices and education (7 papers). W. Dean Bidgood collaborates with scholars based in United States, United Kingdom and Australia. W. Dean Bidgood's co-authors include Steven C. Horii, Fred Prior, Jintong Mao, N. Lawrence Edwards, Anthony Mancuso, Ronald G. Quisling, Stanley M. Huff, Hong Yan, John Guy and Katherine Hutchins and has published in prestigious journals such as Radiology, Brain Research and Ophthalmology.

In The Last Decade

W. Dean Bidgood

29 papers receiving 854 citations

Author Peers

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

Author Last Decade Papers Cites
W. Dean Bidgood 288 256 247 137 124 32 898
Suzie El‐Saden 226 0.8× 133 0.5× 168 0.7× 354 2.6× 90 0.7× 59 1.0k
Wenqi Shi 336 1.2× 122 0.5× 218 0.9× 79 0.6× 36 0.3× 77 919
Bruce A. Beckwith 238 0.8× 186 0.7× 523 2.1× 65 0.5× 79 0.6× 25 854
Fiona R. Kolbinger 255 0.9× 272 1.1× 255 1.0× 63 0.5× 43 0.3× 43 1.0k
Fiona Callaghan 358 1.2× 53 0.2× 223 0.9× 138 1.0× 79 0.6× 18 861
Claudio Eccher 97 0.3× 210 0.8× 193 0.8× 73 0.5× 55 0.4× 64 938
Robyn L. Ball 289 1.0× 145 0.6× 144 0.6× 139 1.0× 32 0.3× 40 853
Luke Gompels 176 0.6× 69 0.3× 172 0.7× 74 0.5× 62 0.5× 13 986
Margaret Pain 203 0.7× 111 0.4× 146 0.6× 71 0.5× 20 0.2× 31 794
Ryan Hoffman 80 0.3× 278 1.1× 115 0.5× 60 0.4× 77 0.6× 29 932

Countries citing papers authored by W. Dean Bidgood

Since Specialization
Citations

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

Fields of papers citing papers by W. Dean Bidgood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Dean Bidgood. 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 W. Dean Bidgood. The network helps show where W. Dean Bidgood may publish in the future.

Co-authorship network of co-authors of W. Dean Bidgood

This figure shows the co-authorship network connecting the top 25 collaborators of W. Dean Bidgood. A scholar is included among the top collaborators of W. Dean Bidgood 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 W. Dean Bidgood. W. Dean Bidgood 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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