Donald E. Campbell

157 papers receiving 2.8k citations

Peers

Donald E. Campbell
Comparison fields: 5 of 181
  • Virology 371
  • General Decision Sciences 113
  • Immunology 916
  • Management Science and Operations Research 317
  • Economics and Econometrics 586
Replace Marina Bianchi with:
Marina Bianchi Italy
Benjamin M. Segal United States
Kathleen A. Kennedy United States
Masanao Yajima United States
Anne Cooke United Kingdom
Michael Katz United States
Wayne Lee Hong Kong
Chap T. Le United States
Robert Root‐Bernstein United States
Khusru Asadullah Germany
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Citations per year

Countries citing papers authored by Donald E. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Donald E. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald E. Campbell. 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 Donald E. Campbell. The network helps show where Donald E. Campbell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002286
2 1994264
3 1986110
4 200093
5 201090
6 200088
7 199486
8 199970
9 200267
10 197862
11 200059
12 199555
13 199554
14 197146
15 199144
16 198144
17 198843
18 199139
19 199436
20 200036

About Donald E. Campbell

Donald E. Campbell is a scholar working on Economics and Econometrics, Management Science and Operations Research, Immunology, Artificial Intelligence and General Decision Sciences, having authored 169 papers that have together received 3.0k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (64 papers), Economic theories and models (35 papers), Game Theory and Applications (23 papers), Auction Theory and Applications (20 papers), Decision-Making and Behavioral Economics (14 papers), Immune Cell Function and Interaction (13 papers), Logic, Reasoning, and Knowledge (13 papers) and HIV Research and Treatment (9 papers). The work is most often cited by research in Virology (371 citations), General Decision Sciences (113 citations), Immunology (916 citations), Management Science and Operations Research (317 citations) and Economics and Econometrics (586 citations). Donald E. Campbell has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Steven D. Douglas, Jerry S. Kelly, Nassef F. Hassan, Wen‐Zhe Ho, Jihed Chehimi, Giorgio Trinchieri, Jay R. Kostman, Luis J. Montaner, Emmanouil Papasavvas and Karam Mounzer. Their work appears in journals such as Social Choice and Welfare, Economic Theory, Economics Letters, Journal of Economic Theory and International Economic Review.

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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