William Mitchell

22 papers receiving 449 citations

William Mitchell's Hit Papers

Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review 2022 · 261 citations
2610+1+2Years since publication50100150200250

Peers

William Mitchell
Comparison fields: 5 of 96
  • Health Informatics 139
  • Ophthalmology 66
  • Health Information Management 21
  • Radiology, Nuclear Medicine and Imaging 69
  • Family Practice 4
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Irfan Ahmed United Kingdom
Emily Schehlein United States
Pajaree Krisanapan Thailand
Roshan Prasad India
Anthony Lin United States
Rachael V. Phillips United States
Takanobu Hirosawa Japan
Yimin Qu China
Shweta Mital Canada
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Countries citing papers authored by William Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by William Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Mitchell Line = papers co-authored together William Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
Hit paper breakdown →
2022261
2 202163
3 202019
4
Pesticide residue concentrations in soils of five United States cities, 1971--urban soils monitoring program.
197916
5 202014
6 202211
7 202310
8 202310
9 196010
10 20219
11 19808
12 20196
13 20235
14 20204
15 20204
16 20243
17 20253
18 20233
19 20212
20 20242

About William Mitchell

William Mitchell is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Epidemiology, Molecular Biology and Pollution, having authored 22 papers that have together received 467 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (3 papers), Retinal Imaging and Analysis (3 papers), Glaucoma and retinal disorders (3 papers), Retinal and Optic Conditions (3 papers), Pesticide and Herbicide Environmental Studies (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Diabetes Management and Research (1 paper) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Health Informatics (139 citations), Ophthalmology (66 citations), Health Information Management (21 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Family Practice (4 citations). William Mitchell has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Leo Anthony Celi, Joseph Alexander Paguio, Julian Schirmer, Lama Moukheiber, René Eber, Franck Dernoncourt, Edward Christopher Dee, Marie‐Laure Charpignon, Jacqueline Cellini and Joel Park. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Translational Vision Science & Technology, Ophthalmology, BMC Medical Research Methodology and BMJ Open Ophthalmology.

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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