J. Frank Yates
- General Decision Sciences top 0.1%
- Sociology and Political Science top 1%
- Economics and Econometrics top 1%
- Management Science and Operations Research top 0.5%
- Social Psychology top 2%
- Co-authors
- Shawn P. CurleyEric R. StoneDavid L. RonisRichard A. AbramsWinston R. SieckJu-Whei LeeHiromi ShinotsukaAndrew M. Parker
- Topics
- Decision-Making and Behavioral Economics (38 papers)Forecasting Techniques and Applications (16 papers)Economic and Environmental Valuation (11 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
J. Frank Yates
68 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 162
- General Decision Sciences 1.9k
- Sociology and Political Science 971
- Economics and Econometrics 917
- Management Science and Operations Research 879
- Social Psychology 641
Countries citing papers authored by J. Frank Yates
This map shows the geographic impact of J. Frank Yates'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 J. Frank Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Frank Yates more than expected).
Fields of papers citing papers by J. Frank Yates
This network shows the impact of papers produced by J. Frank Yates. 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 J. Frank Yates. The network helps show where J. Frank Yates may publish in the future.
Co-authorship network of co-authors of J. Frank Yates
This figure shows the co-authorship network connecting the top 25 collaborators of J. Frank Yates. A scholar is included among the top collaborators of J. Frank Yates based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Frank Yates. J. Frank Yates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 20 | |
| 4 | 130 | |
| 5 | 15 | |
| 6 | The aggregative contingent estimation system: Selecting, rewarding, and training experts in a wisdom of crowds approach to forecasting | 7 |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 38 | |
| 10 | 61 | |
| 11 | Professional vs Amateur Judgment Accuracy: The Case of Foreign Exchange Rates | 6 |
| 12 | 6 | |
| 13 | 15 | |
| 14 | 62 | |
| 15 | Risk-taking behavior | 270 |
| 16 | 9 | |
| 17 | 28 | |
| 18 | 125 | |
| 19 | 86 | |
| 20 | 24 |
About J. Frank Yates
J. Frank Yates is a scholar working on General Decision Sciences, Management Science and Operations Research and Applied Psychology, having authored 69 papers that have together received 4.9k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (38 papers), Forecasting Techniques and Applications (16 papers) and Economic and Environmental Valuation (11 papers). The work is most often cited by research in General Decision Sciences (1.9k citations), Applied Psychology (601 citations) and Management Science and Operations Research (879 citations). J. Frank Yates has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Shawn P. Curley, Eric R. Stone, David L. Ronis, Richard A. Abrams, Winston R. Sieck, Ju-Whei Lee, Hiromi Shinotsuka, Andrew M. Parker, John P. Kirscht and Hun‐Tong Tan. Their work appears in journals such as Psychological Bulletin, PLoS ONE and Personality and Social Psychology Bulletin.
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.