Phebe Vayanos
Impact in
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- Risk and Portfolio Optimization
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Terrorism, Counterterrorism, and Political Violence 6
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- Neural Networks and Applications 6
- Co-authors
- Milind Tambe (22 shared papers)Eric Rice (11 shared papers)Berç Rüstem (2 shared papers)Daniel Kühn (3 shared papers)Haifeng Xu (4 shared papers)Danilo P. Mandic (7 shared papers)Paul I. Barton (1 shared paper)Yu Yang (1 shared paper)
- Journals
- Management Science (2 papers)Cognitive Science (1 paper)INFORMS journal on computing (1 paper)Operations Research (1 paper)Field Methods (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Phebe Vayanos
46 papers receiving 606 citations
Peers
Comparison fields: 5 of 88
- Management Science and Operations Research 136
- Signal Processing 84
- Safety Research 50
- Control and Systems Engineering 105
- Artificial Intelligence 147
Countries citing papers authored by Phebe Vayanos
This map shows the geographic impact of Phebe Vayanos'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 Phebe Vayanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phebe Vayanos more than expected).
Fields of papers citing papers by Phebe Vayanos
This network shows the impact of papers produced by Phebe Vayanos. 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 Phebe Vayanos. The network helps show where Phebe Vayanos may publish in the future.
Co-authors
The 25 scholars most cited alongside Phebe Vayanos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2018 | 49 | |
| 3 | 2011 | 44 | |
| 4 | 2021 | 39 | |
| 5 | 2007 | 37 | |
| 6 | 2018 | 33 | |
| 7 | 2012 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2019 | 27 | |
| 10 | 2018 | 23 | |
| 11 | 2021 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2009 | 14 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 10 | |
| 19 | Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth. | 2017 | 10 |
| 20 | Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. | 2018 | 10 |
About Phebe Vayanos
Phebe Vayanos is a scholar working on Sociology and Political Science, Artificial Intelligence, Management Science and Operations Research, Information Systems and Control and Systems Engineering, having authored 48 papers that have together received 629 indexed citations. Recurring topics across this work include Information and Cyber Security (8 papers), Risk and Portfolio Optimization (7 papers), Neural Networks and Applications (6 papers), Terrorism, Counterterrorism, and Political Violence (6 papers), Infrastructure Resilience and Vulnerability Analysis (5 papers), Blind Source Separation Techniques (5 papers), Homelessness and Social Issues (5 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Management Science and Operations Research (136 citations), Signal Processing (84 citations), Safety Research (50 citations), Control and Systems Engineering (105 citations) and Artificial Intelligence (147 citations). Phebe Vayanos has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Milind Tambe, Eric Rice, Berç Rüstem, Daniel Kühn, Haifeng Xu, Danilo P. Mandic, Paul I. Barton, Yu Yang, Beth Jelfs and Su Lee Goh. Their work appears in journals such as Management Science, Cognitive Science, INFORMS journal on computing, Operations Research and Field Methods.
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.