John M. Miyamoto
- Economics and Econometrics top 2%
- General Decision Sciences top 1%
- General Health Professions top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Co-authors
- Stephen A. ErakerHan BleichrodtPeter P. WakkerLeslie LenertHans PetersDaniel CherJason N. DoctorElizabeth F. Loftus
- Topics
- Decision-Making and Behavioral Economics (18 papers)Economic and Environmental Valuation (14 papers)Health Systems, Economic Evaluations, Quality of Life (11 papers)
- Journals
- Journal of the American Statistical AssociationManagement ScienceJournal of Experimental Psychology General
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
John M. Miyamoto
28 papers receiving 746 citations
Peers
Comparison fields: 5 of 100
- Economics and Econometrics 571
- General Decision Sciences 311
- General Health Professions 214
- Management Science and Operations Research 90
- Artificial Intelligence 68
Countries citing papers authored by John M. Miyamoto
This map shows the geographic impact of John M. Miyamoto'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 John M. Miyamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Miyamoto more than expected).
Fields of papers citing papers by John M. Miyamoto
This network shows the impact of papers produced by John M. Miyamoto. 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 John M. Miyamoto. The network helps show where John M. Miyamoto may publish in the future.
Co-authorship network of co-authors of John M. Miyamoto
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Miyamoto. A scholar is included among the top collaborators of John M. Miyamoto 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 John M. Miyamoto. John M. Miyamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 23 | |
| 4 | 32 | |
| 5 | Eliciting Utilities by Refining Theories of Monotonicity and Risk | 2 |
| 6 | 43 | |
| 7 | 36 | |
| 8 | 80 | |
| 9 | 51 | |
| 10 | Multiattribute Utility Theory without Expected Utility Foundations | 1 |
| 11 | 1 | |
| 12 | 39 | |
| 13 | 1 | |
| 14 | 79 | |
| 15 | 79 | |
| 16 | 64 | |
| 17 | 4 | |
| 18 | 14 | |
| 19 | 7 | |
| 20 | 6 |
About John M. Miyamoto
John M. Miyamoto is a scholar working on General Decision Sciences, Economics and Econometrics and Management Science and Operations Research, having authored 29 papers that have together received 794 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (18 papers), Economic and Environmental Valuation (14 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). The work is most often cited by research in General Decision Sciences (311 citations), Economics and Econometrics (571 citations) and General Health Professions (214 citations). John M. Miyamoto has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Stephen A. Eraker, Han Bleichrodt, Peter P. Wakker, Leslie Lenert, Hans Peters, Daniel Cher, Jason N. Doctor, Elizabeth F. Loftus, Julie Feldman and David H. Krantz. Their work appears in journals such as Journal of the American Statistical Association, Management Science and Journal of Experimental Psychology General.
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.