James K. Doyle
Impact in
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- Complex Systems and Decision Making
- General Decision Sciences top 10%
Papers in
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- Complex Systems and Decision Making 4
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- Risk Perception and Management 3
- Co-authors
- David N. Ford (2 shared papers)Chao Wang (1 shared paper)Fan Zhang (1 shared paper)Julian Wang (1 shared paper)Gary H. McClelland (3 shared papers)Peter A. Hancock (1 shared paper)Cheuk Ming Mak (1 shared paper)Shichao Liu (1 shared paper)
- Journals
- System Dynamics Review (3 papers)Building and Environment (1 paper)Journal of Applied Social Psychology (1 paper)American Journal of Agricultural Economics (1 paper)Policy Insights from the Behavioral and Brain Sciences (1 paper)
- Partner nations
- United StatesNorwayAustralia
In The Last Decade
James K. Doyle
11 papers receiving 658 citations
Peers
Comparison fields: 5 of 118
- Management Science and Operations Research 259
- General Decision Sciences 27
- Speech and Hearing 51
- Artificial Intelligence 197
- Radiological and Ultrasound Technology 31
Countries citing papers authored by James K. Doyle
This map shows the geographic impact of James K. Doyle'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 James K. Doyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James K. Doyle more than expected).
Fields of papers citing papers by James K. Doyle
This network shows the impact of papers produced by James K. Doyle. 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 James K. Doyle. The network helps show where James K. Doyle may publish in the future.
Co-authors
The 18 scholars most cited alongside James K. Doyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 304 | |
| 2 | 2021 | 139 | |
| 3 | 1999 | 73 | |
| 4 | 1997 | 70 | |
| 5 | 1992 | 38 | |
| 6 | 1997 | 34 | |
| 7 | 1991 | 25 | |
| 8 | 1991 | 21 | |
| 9 | 2009 | 13 | |
| 10 | Using Cognitive Styles Typology to Explain Individual Differences in Dynamic Decision Making: Much Ado about Nothing | 1998 | 5 |
| 11 | 2020 | 5 |
About James K. Doyle
James K. Doyle is a scholar working on Management Science and Operations Research, Sociology and Political Science, Artificial Intelligence, Radiological and Ultrasound Technology and Experimental and Cognitive Psychology, having authored 11 papers that have together received 727 indexed citations. Recurring topics across this work include Cognitive Science and Mapping (4 papers), Complex Systems and Decision Making (4 papers), Risk Perception and Management (3 papers), Radioactive contamination and transfer (2 papers), Radioactivity and Radon Measurements (2 papers), Urban Green Space and Health (1 paper), Organizational Learning and Leadership (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Management Science and Operations Research (259 citations), General Decision Sciences (27 citations), Speech and Hearing (51 citations), Artificial Intelligence (197 citations) and Radiological and Ultrasound Technology (31 citations). James K. Doyle has collaborated with scholars based in United States, Norway and Australia. Frequent co-authors include David N. Ford, Chao Wang, Fan Zhang, Julian Wang, Gary H. McClelland, Peter A. Hancock, Cheuk Ming Mak, Shichao Liu, William D. Schulze and Jeffrey K. Lazo. Their work appears in journals such as System Dynamics Review, Building and Environment, Journal of Applied Social Psychology, American Journal of Agricultural Economics and Policy Insights from the Behavioral and Brain Sciences.
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.