Phebe Vayanos

1.0k total citations
34 papers, 473 citations indexed

About

Phebe Vayanos is a scholar working on Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, Phebe Vayanos has authored 34 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 7 papers in Management Science and Operations Research. Recurrent topics in Phebe Vayanos's work include Risk and Portfolio Optimization (7 papers), Blind Source Separation Techniques (4 papers) and Information and Cyber Security (4 papers). Phebe Vayanos is often cited by papers focused on Risk and Portfolio Optimization (7 papers), Blind Source Separation Techniques (4 papers) and Information and Cyber Security (4 papers). Phebe Vayanos collaborates with scholars based in United States, United Kingdom and Japan. Phebe Vayanos's co-authors include Daniel Kühn, Berç Rüstem, Milind Tambe, Eric Rice, Danilo P. Mandic, Paul I. Barton, Yu Yang, Beth Jelfs, Su Lee Goh and Chaithanya Bandi and has published in prestigious journals such as Management Science, Automatica and Industrial & Engineering Chemistry Research.

In The Last Decade

Phebe Vayanos

34 papers receiving 454 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Phebe Vayanos United States 12 113 102 86 62 56 34 473
Sumit Kumar India 14 45 0.4× 202 2.0× 66 0.8× 45 0.7× 20 0.4× 56 768
Sofia Ceppi United Kingdom 9 92 0.8× 153 1.5× 21 0.2× 18 0.3× 44 0.8× 29 429
Charalampos Chelmis United States 16 36 0.3× 300 2.9× 88 1.0× 107 1.7× 50 0.9× 97 760
Mark A. Abramson United States 14 85 0.8× 158 1.5× 94 1.1× 8 0.1× 34 0.6× 33 662
Yufei Wang China 12 58 0.5× 457 4.5× 56 0.7× 27 0.4× 18 0.3× 67 784
Ruocheng Guo United States 18 77 0.7× 485 4.8× 14 0.2× 52 0.8× 78 1.4× 52 781
Ferdinando Fioretto United States 12 85 0.8× 220 2.2× 45 0.5× 76 1.2× 44 0.8× 49 484
Zhang Yan China 12 117 1.0× 300 2.9× 23 0.3× 40 0.6× 46 0.8× 50 621
Albert Xin Jiang United States 15 224 2.0× 156 1.5× 70 0.8× 19 0.3× 72 1.3× 51 676
Han La Poutré Netherlands 16 248 2.2× 254 2.5× 56 0.7× 10 0.2× 23 0.4× 82 832

Countries citing papers authored by Phebe Vayanos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Phebe Vayanos

This figure shows the co-authorship network connecting the top 25 collaborators of Phebe Vayanos. A scholar is included among the top collaborators of Phebe Vayanos 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 Phebe Vayanos. Phebe Vayanos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vayanos, Phebe, Angelos Georghiou, & Yubing Han. (2025). Robust Optimization with Decision-Dependent Information Discovery. Management Science. 72(2). 1509–1528. 2 indexed citations
2.
Rice, Eric, et al.. (2023). Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11837–11846. 3 indexed citations
3.
4.
Hsu, Hsun-Ta, et al.. (2021). Correlates of Housing Sustainability Among Youth Placed Into Permanent Supportive Housing and Rapid Re-Housing: A Survival Analysis. Journal of Adolescent Health. 69(4). 629–635. 9 indexed citations
5.
Vayanos, Phebe, et al.. (2019). Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. Adaptive Agents and Multi-Agents Systems. 1892–1894. 3 indexed citations
6.
Hsu, Hsun-Ta, et al.. (2019). Understanding Wait Times in Rapid Re-Housing Among Homeless Youth: A Competing Risk Survival Analysis. The Journal of Primary Prevention. 40(5). 529–544. 10 indexed citations
7.
Karusala, Naveena, Jennifer Wilson, Phebe Vayanos, & Eric Rice. (2019). Street-Level Realities of Data Practices in Homeless Services Provision. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–23. 21 indexed citations
8.
Xu, Haifeng, Fei Fang, Milind Tambe, et al.. (2018). Deceiving Cyber Adversaries: A Game Theoretic Approach. Warwick Research Archive Portal (University of Warwick). 892–900. 34 indexed citations
9.
Lebière, Christian, et al.. (2018). Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games.. Cognitive Science. 9 indexed citations
10.
Xu, Haifeng, Kai Wang, Phebe Vayanos, & Milind Tambe. (2018). Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 14 indexed citations
11.
Vayanos, Phebe, et al.. (2018). Influence Maximization for Social Network Based Substance Abuse Prevention. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 3 indexed citations
12.
Bandi, Chaithanya, Nikolaos Trichakis, & Phebe Vayanos. (2018). Robust Multiclass Queuing Theory for Wait Time Estimation in Resource Allocation Systems. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
13.
Chan, Hau, Eric Rice, Phebe Vayanos, Milind Tambe, & Matthew Morton. (2017). Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth.. National Conference on Artificial Intelligence. 149–157. 9 indexed citations
14.
Yadav, Amulya, et al.. (2017). Explanation Systems for Influence Maximization Algorithms.. International Joint Conference on Artificial Intelligence. 1893. 8–19. 1 indexed citations
15.
Yang, Yu, Phebe Vayanos, & Paul I. Barton. (2017). Chance-Constrained Optimization for Refinery Blend Planning under Uncertainty. Industrial & Engineering Chemistry Research. 56(42). 12139–12150. 29 indexed citations
16.
17.
Vayanos, Phebe, Daniel Kühn, & Berç Rüstem. (2012). A constraint sampling approach for multi-stage robust optimization. Automatica. 48(3). 459–471. 29 indexed citations
18.
Vayanos, Phebe, Daniel Kühn, & Berç Rüstem. (2011). Decision rules for information discovery in multi-stage stochastic programming. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7368–7373. 39 indexed citations
19.
Jelfs, Beth, et al.. (2009). Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. Journal of Signal Processing Systems. 61(1). 105–115. 13 indexed citations
20.
Vayanos, Phebe, Su Lee Goh, & Danilo P. Mandic. (2006). Online Detection of the Nature of Complex-Valued Signals. 63. 173–178. 3 indexed citations

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.

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