David Kaufman

220 papers receiving 3.7k citations

Peers

David Kaufman
Comparison fields: 5 of 169
  • Neuropsychology and Physiological Psychology 200
  • Family Practice 130
  • Urology 267
  • Demography 383
  • Developmental and Educational Psychology 400
Replace Delphine S. Courvoisier with:
Delphine S. Courvoisier Switzerland
Alexandra L. Quittner United States
Suzanne M. Miller United States
Darcy A. Reed United States
Helen Edwards Australia
Andrea W.M. Evers Netherlands
Mark Rodgers United Kingdom
Andrew Christensen United States
Joseph C. Kvedar United States
Marian Pitts Australia
David Kaufman relative to Delphine S. Courvoisier Switzerland Delphine S. Courvoisier's profile →
Citations per field
00.5×8.3×
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 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980178
2 2002160
3 2005142
4
Distinguishing between games and simulations: A systematic review
2007137
5 2016129
6 1971126
7 2000105
8 1975102
9 200480
10 197880
11 199678
12 199776
13 199674
14 201563
15 198063
16 198561
17 200261
18 201659
19 201559
20 200258

About David Kaufman

David Kaufman is a scholar working on Demography, Neuropsychology and Physiological Psychology, Public Health, Environmental and Occupational Health, Developmental and Educational Psychology and General Health Professions, having authored 255 papers that have together received 4.1k indexed citations. Recurring topics across this work include Technology Use by Older Adults (52 papers), Aging and Gerontology Research (29 papers), Innovations in Medical Education (24 papers), Educational Games and Gamification (24 papers), Retirement, Disability, and Employment (14 papers), Problem and Project Based Learning (11 papers), Impact of Technology on Adolescents (10 papers) and Digital Storytelling and Education (9 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (200 citations), Family Practice (130 citations), Urology (267 citations), Demography (383 citations) and Developmental and Educational Psychology (400 citations). David Kaufman has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Karen Mann, Louise Sauvé, Heather MacLeod, Nathan Litman, Michael H. Miller, Jerry G. Kaplan, Lise Rénaud, Simone Hausknecht, Fan Zhang and Norman E. Leeds. 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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