Stephen E. Edgell

917 citations
31 papers · 649 · h-index 14

Impact in

Papers in

Stephen E. Edgell

31 papers receiving 583 citations

Peers

Stephen E. Edgell
Comparison fields: 5 of 114
  • General Decision Sciences 103
  • Statistics and Probability 181
  • Transplantation 19
  • Developmental and Educational Psychology 95
  • Family Practice 8
Replace R. J. Audley with:
R. J. Audley United Kingdom
Benjamin M. Rottman United States
Brad Wilson United States
Joe Kennedy Adams United States
Amber Sprenger United States
Rick P. Thomas United States
Rebecca M. Pliske United States
Deborah L. Schnipke United States
Malcolm J. Slakter United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen E. Edgell

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Edgell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Stephen E. Edgell, 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 Stephen E. Edgell Line = papers co-authored together Stephen E. Edgell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984115
2 200364
3 198256
4 200547
5 198043
6 197326
7 200125
8 198025
9 197324
10 198023
11 198023
12 199621
13 197820
14 198015
15 199613
16 198412
17 199211
18 200410
19 198710
20 198310

About Stephen E. Edgell

Stephen E. Edgell is a scholar working on Statistics and Probability, Artificial Intelligence, Developmental and Educational Psychology, General Decision Sciences and Cognitive Neuroscience, having authored 31 papers that have together received 649 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (6 papers), Decision-Making and Behavioral Economics (5 papers), Child and Animal Learning Development (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Advanced Text Analysis Techniques (3 papers), Economic and Environmental Valuation (2 papers), Forecasting Techniques and Applications (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in General Decision Sciences (103 citations), Statistics and Probability (181 citations), Transplantation (19 citations), Developmental and Educational Psychology (95 citations) and Family Practice (8 citations). Stephen E. Edgell has collaborated with scholars based in United States. Frequent co-authors include Samuel Himmelfarb, A. Scott LaJoie, Steven J. McCabe, N. John Castellan, Troy D. Abell, Warren C. Breidenbach, Wilson S. Geisler, Binu Prathap Thomas, Robert M. Roe and William Neace. Their work appears in journals such as Psychological Bulletin, Journal of Experimental Psychology Learning Memory and Cognition, Journal of Mathematical Psychology, The Journal Of Hand Surgery and Organizational Behavior and Human Decision Processes.

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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