Robert F. Nau
- Economics and Econometrics top 2%
- Finance top 2%
- Management Science and Operations Research top 1%
- General Decision Sciences top 1%
- Strategy and Management top 10%
- Co-authors
- James E. SmithKevin F. McCardleVictor Richmond R. JoseRobert L. WinklerRobert M. OliverKarl S. PisterJan KwiatkowskiPierre Hansen
- Topics
- Decision-Making and Behavioral Economics (15 papers)Game Theory and Applications (8 papers)Forecasting Techniques and Applications (7 papers)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Robert F. Nau
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Economics and Econometrics 560
- Finance 471
- Management Science and Operations Research 410
- General Decision Sciences 339
- Strategy and Management 149
Countries citing papers authored by Robert F. Nau
This map shows the geographic impact of Robert F. Nau'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 Robert F. Nau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert F. Nau more than expected).
Fields of papers citing papers by Robert F. Nau
This network shows the impact of papers produced by Robert F. Nau. 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 Robert F. Nau. The network helps show where Robert F. Nau may publish in the future.
Co-authorship network of co-authors of Robert F. Nau
This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Nau. A scholar is included among the top collaborators of Robert F. Nau 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 Robert F. Nau. Robert F. Nau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Imprecise Probabilities in Non-cooperative Games | 3 |
| 3 | "Merit" and "meruisse" in the "Thebaid" | 0 |
| 4 | 63 | |
| 5 | 204 | |
| 6 | 27 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | Uncertainty Aversion with Second-Order Probabilities and Utilities | 23 |
| 10 | 41 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 372 | |
| 15 | 58 | |
| 16 | 16 | |
| 17 | 2 | |
| 18 | 57 | |
| 19 | 31 | |
| 20 | 16 |
About Robert F. Nau
Robert F. Nau is a scholar working on General Decision Sciences, Management Science and Operations Research and Safety Research, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (15 papers), Game Theory and Applications (8 papers) and Forecasting Techniques and Applications (7 papers). The work is most often cited by research in General Decision Sciences (339 citations), Finance (471 citations) and Management Science and Operations Research (410 citations). Robert F. Nau has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include James E. Smith, Kevin F. McCardle, Victor Richmond R. Jose, Robert L. Winkler, Robert M. Oliver, Karl S. Pister, Jan Kwiatkowski, Pierre Hansen, Ralph L. Keeney and Mark J. Machina. Their work appears in journals such as Management Science, Operations Research and The Annals of Statistics.
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.