Edward Christopher Dee

195 papers receiving 1.9k citations

Edward Christopher Dee's Hit Papers

Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review 2022 · 275 citations
2750+1+2Years since publication50100150200250

Peers

Edward Christopher Dee
Comparison fields: 5 of 127
  • Health Informatics 198
  • Oncology 357
  • Health 77
  • Otorhinolaryngology 35
  • Radiology, Nuclear Medicine and Imaging 173
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Curtiland Deville United States
Daniel W. Golden United States
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Lawson Eng Canada
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Countries citing papers authored by Edward Christopher Dee

Since Specialization
Citations

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

Fields of papers citing papers by Edward Christopher Dee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Christopher Dee. 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 Edward Christopher Dee. The network helps show where Edward Christopher Dee may publish in the future.

Co-authors

The 25 scholars most cited alongside Edward Christopher Dee, 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 Edward Christopher Dee Line = papers co-authored together Edward Christopher Dee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 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 →
2022275
2 202255
3 202055
4 202240
5 202139
6 202036
7 201936
8 202235
9 202133
10 202133
11 202230
12 202130
13 202228
14 201828
15 202025
16 202324
17 202223
18 202022
19 202321
20 202021

About Edward Christopher Dee

Edward Christopher Dee is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Economics and Econometrics, Public Health, Environmental and Occupational Health and General Health Professions, having authored 227 papers that have together received 2.0k indexed citations. Recurring topics across this work include Economic and Financial Impacts of Cancer (35 papers), Global Cancer Incidence and Screening (32 papers), Prostate Cancer Diagnosis and Treatment (16 papers), Palliative Care and End-of-Life Issues (15 papers), Health Systems, Economic Evaluations, Quality of Life (13 papers), Health Literacy and Information Accessibility (11 papers), Prostate Cancer Treatment and Research (9 papers) and Migration, Health and Trauma (8 papers). The work is most often cited by research in Health Informatics (198 citations), Oncology (357 citations), Health (77 citations), Otorhinolaryngology (35 citations) and Radiology, Nuclear Medicine and Imaging (173 citations). Edward Christopher Dee has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include Joseph Alexander Paguio, Brandon A. Mahal, Paul L. Nguyen, Leo Anthony Celi, Vinayak Muralidhar, Nina N. Sanford, Patricia Mae G. Santos, Bhav Jain, Michelle Ann B Eala and Fumiko Chino. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Regional Health - Americas, The Lancet Regional Health - Western Pacific, International Journal of Radiation Oncology*Biology*Physics and JCO Oncology Practice.

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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