Dan Kaufmann

37 papers receiving 607 citations

Peers

Dan Kaufmann
Comparison fields: 5 of 115
  • Management of Technology and Innovation 117
  • Business and International Management 26
  • Psychiatry and Mental health 191
  • Strategy and Management 116
  • Cellular and Molecular Neuroscience 137
Replace P. S. Johnson with:
P. S. Johnson United States
Sha Wang China
Bo-Hyun Yoon South Korea
Reshma Shah United States
Mark D. Dibner United States
George Tesar United States
Arshad M. Khan United States
Jackie Hunter United Kingdom
Roeland C. Dietvorst Netherlands
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Citations per field
00.5×9.8×
P. S. Johnson · 1×
Citations per year

Countries citing papers authored by Dan Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Dan Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 202052
3 201640
4 202039
5 200533
6 200932
7 200330
8 202030
9 201229
10 201027
11 201827
12 201721
13 200820
14 200817
15 201717
16 201614
17 201613
18 201513
19 199012
20 201311

About Dan Kaufmann

Dan Kaufmann is a scholar working on Management of Technology and Innovation, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Economics and Econometrics, having authored 42 papers that have together received 625 indexed citations. Recurring topics across this work include Entrepreneurship Studies and Influences (11 papers), Pharmacological Effects and Toxicity Studies (7 papers), Biotechnology and Related Fields (6 papers), Innovation and Socioeconomic Development (5 papers), Epilepsy research and treatment (5 papers), Innovation and Knowledge Management (5 papers), Pain Mechanisms and Treatments (4 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). The work is most often cited by research in Management of Technology and Innovation (117 citations), Business and International Management (26 citations), Psychiatry and Mental health (191 citations), Strategy and Management (116 citations) and Cellular and Molecular Neuroscience (137 citations). Dan Kaufmann has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Dafna Schwartz, K. C. Brennan, Meir Bialer, Boris Yagen, Marshall Devor, H. Steve White, Philip Cooke, Rob Wilson, Daniel Shefer and Amnon Frenkel. Their work appears in journals such as European Planning Studies, Epilepsia, Technology Analysis and Strategic Management, Neuropharmacology and EuroMed Journal of Business.

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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