Mitchell D. Feldman

78 papers receiving 4.0k citations

Hit Papers

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach 2016 · 339 citations
3390+4+9Years since publication100200300

Peers

Mitchell D. Feldman
Comparison fields: 5 of 153
  • Medical Terminology 27
  • Health Informatics 130
  • Family Practice 200
  • Gender Studies 604
  • Social Psychology 1.1k
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Countries citing papers authored by Mitchell D. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell D. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005433
2
Characteristics of Successful and Failed Mentoring Relationships
Hit paper breakdown →
2012353
3
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
Hit paper breakdown →
2016339
4 2008310
5 2017237
6 2006215
7 2010201
8 2016184
9 2011171
10 2016118
11 201097
12 201075
13 200968
14 201367
15 201263
16 201060
17 201259
18 201059
19 200652
20 200452

About Mitchell D. Feldman

Mitchell D. Feldman is a scholar working on Social Psychology, General Health Professions, Public Health, Environmental and Occupational Health, Clinical Psychology and Gender Studies, having authored 81 papers that have together received 4.2k indexed citations. Recurring topics across this work include Mental Health Treatment and Access (15 papers), Diversity and Career in Medicine (14 papers), Mentoring and Academic Development (12 papers), Health and Medical Research Impacts (11 papers), Innovations in Medical Education (9 papers), HIV/AIDS Research and Interventions (7 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers) and Primary Care and Health Outcomes (6 papers). The work is most often cited by research in Medical Terminology (27 citations), Health Informatics (130 citations), Family Practice (200 citations), Gender Studies (604 citations) and Social Psychology (1.1k citations). Mitchell D. Feldman has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Richard L. Kravitz, Ritankar Das, Mallory O. Johnson, Peter Franks, Sharon E. Straus, Christine Marquez, Ronald M. Epstein, Jeffrey A. Tice, Leah Karliner and David Shimabukuro. Their work appears in journals such as Journal of General Internal Medicine, PLoS ONE, The American Journal of Medicine, Clinical and Translational Science and Academic Medicine.

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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