David Kaufman

163 papers receiving 3.2k citations

Peers

David Kaufman
Comparison fields: 5 of 168
  • Family Practice 209
  • Neuropsychology and Physiological Psychology 108
  • Urology 276
  • Public Health, Environmental and Occupational Health 917
  • Developmental and Educational Psychology 318
Replace Delphine S. Courvoisier with:
Delphine S. Courvoisier Switzerland
Kathleen E. Sullivan United States
Gabriella Pravettoni Italy
Yungtai Lo United States
S. P. Wong United States
Marcia Polansky United States
Thomas Becker Germany
Georgia Robins Sadler United States
Rik Crutzen Netherlands
Andrea W.M. Evers Netherlands
David Kaufman relative to Delphine S. Courvoisier Switzerland Delphine S. Courvoisier's profile →
Citations per field
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Delphine S. Courvoisier · 1×
Citations per year

Countries citing papers authored by David Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by David Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980165
2 2002150
3 2005134
4
Distinguishing between games and simulations: A systematic review
2007117
5 2016113
6 1971108
7 2000105
8 197592
9 199675
10 200475
11 199774
12 197874
13 199672
14 200261
15 200257
16 199856
17 197955
18 198554
19 201554
20 201552

About David Kaufman

David Kaufman is a scholar working on Public Health, Environmental and Occupational Health, Demography, General Health Professions, Education and Neuropsychology and Physiological Psychology, having authored 177 papers that have together received 3.5k indexed citations. Recurring topics across this work include Technology Use by Older Adults (33 papers), Innovations in Medical Education (28 papers), Aging and Gerontology Research (17 papers), Educational Games and Gamification (15 papers), Problem and Project Based Learning (12 papers), Retirement, Disability, and Employment (10 papers), Impact of Technology on Adolescents (7 papers) and Patient-Provider Communication in Healthcare (7 papers). The work is most often cited by research in Family Practice (209 citations), Neuropsychology and Physiological Psychology (108 citations), Urology (276 citations), Public Health, Environmental and Occupational Health (917 citations) and Developmental and Educational Psychology (318 citations). David Kaufman has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Karen Mann, Heather MacLeod, Louise Sauvé, Nathan Litman, Jerry G. Kaplan, Michael H. Miller, Lise Rénaud, Norman E. Leeds, Joan Sargeant and Neal H. Steigbigel. Their work appears in journals such as Academic Medicine, Medical Education, Neurology, Journal of Educational Computing Research and Allergy and Asthma Proceedings.

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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