Yonatan Gur

566 total citations
22 papers, 289 citations indexed

About

Yonatan Gur is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yonatan Gur has authored 22 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 8 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Yonatan Gur's work include Advanced Bandit Algorithms Research (13 papers), Auction Theory and Applications (12 papers) and Supply Chain and Inventory Management (5 papers). Yonatan Gur is often cited by papers focused on Advanced Bandit Algorithms Research (13 papers), Auction Theory and Applications (12 papers) and Supply Chain and Inventory Management (5 papers). Yonatan Gur collaborates with scholars based in United States, Hong Kong and Argentina. Yonatan Gur's co-authors include Omar Besbes, Assaf Zeevi, Santiago Balseiro, Gabriel Y. Weintraub, Daniela Sabán, Nicolás E. Stier‐Moses, Youngjun Kim, Mykel J. Kochenderfer, Ahmadreza Momeni and Dan A. Iancu and has published in prestigious journals such as Management Science, Operations Research and Manufacturing & Service Operations Management.

In The Last Decade

Yonatan Gur

17 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonatan Gur United States 7 202 109 73 62 54 22 289
Krishnamurthy Iyer United States 11 185 0.9× 110 1.0× 27 0.4× 80 1.3× 44 0.8× 33 314
Pasha Shabalin Germany 8 172 0.9× 136 1.2× 20 0.3× 55 0.9× 37 0.7× 14 234
Rina Azoulay-Schwartz Israel 7 174 0.9× 62 0.6× 49 0.7× 64 1.0× 57 1.1× 11 233
Ruggiero Cavallo United States 11 267 1.3× 122 1.1× 31 0.4× 40 0.6× 60 1.1× 22 327
Y. Narahari India 8 91 0.5× 39 0.4× 46 0.6× 34 0.5× 71 1.3× 13 213
Naoki Fukuta Japan 10 162 0.8× 93 0.9× 112 1.5× 18 0.3× 109 2.0× 74 325
Arash Asadpour United States 12 97 0.5× 58 0.5× 48 0.7× 56 0.9× 104 1.9× 17 306
Ryan Porter United States 8 264 1.3× 54 0.5× 89 1.2× 28 0.5× 93 1.7× 11 366
Victor Naroditskiy United Kingdom 11 161 0.8× 63 0.6× 46 0.6× 46 0.7× 37 0.7× 24 279
Paul Dütting United Kingdom 11 256 1.3× 137 1.3× 48 0.7× 29 0.5× 87 1.6× 46 328

Countries citing papers authored by Yonatan Gur

Since Specialization
Citations

This map shows the geographic impact of Yonatan Gur'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 Yonatan Gur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonatan Gur more than expected).

Fields of papers citing papers by Yonatan Gur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yonatan Gur. 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 Yonatan Gur. The network helps show where Yonatan Gur may publish in the future.

Co-authorship network of co-authors of Yonatan Gur

This figure shows the co-authorship network connecting the top 25 collaborators of Yonatan Gur. A scholar is included among the top collaborators of Yonatan Gur 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 Yonatan Gur. Yonatan Gur 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.
Gur, Yonatan, et al.. (2023). Information Disclosure and Promotion Policy Design for Platforms. Management Science. 69(10). 5883–5903. 12 indexed citations
2.
Gur, Yonatan & Ahmadreza Momeni. (2022). Adaptive Sequential Experiments with Unknown Information Arrival Processes. Manufacturing & Service Operations Management. 24(5). 2666–2684. 2 indexed citations
3.
Gur, Yonatan, et al.. (2021). Sequential Procurement with Contractual and Experimental Learning. Management Science. 68(4). 2714–2731. 1 indexed citations
4.
Gur, Yonatan, Ahmadreza Momeni, & Stefan Wager. (2019). Smoothness-Adaptive Stochastic Bandits.. arXiv (Cornell University).
5.
Gur, Yonatan, et al.. (2019). Sequential Procurement with Contractual and Experimental Learning. SSRN Electronic Journal.
6.
Balseiro, Santiago & Yonatan Gur. (2019). Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium. Management Science. 65(9). 3952–3968. 77 indexed citations
7.
Gur, Yonatan & Ahmadreza Momeni. (2018). Adaptive Learning with Unknown Information Flows. Neural Information Processing Systems. 31. 7473–7482.
8.
Gur, Yonatan, Daniela Sabán, & Nicolás E. Stier‐Moses. (2018). Technical Note—The Competitive Facility Location Problem in a Duopoly: Advances Beyond Trees. Operations Research. 66(4). 1058–1067. 4 indexed citations
9.
Kim, Youngjun, Yonatan Gur, & Mykel J. Kochenderfer. (2017). Heuristics for planning with rare catastrophic events. Winter Simulation Conference. 3030–3041. 1 indexed citations
10.
Balseiro, Santiago & Yonatan Gur. (2017). Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium. SSRN Electronic Journal. 8 indexed citations
11.
Gur, Yonatan, et al.. (2017). Framework Agreements in Procurement: An Auction Model and Design Recommendations. Manufacturing & Service Operations Management. 19(4). 586–603. 15 indexed citations
12.
Kim, Youngjun, Yonatan Gur, & Mykel J. Kochenderfer. (2017). Heuristics for planning with rare catastrophic events. 2017 Winter Simulation Conference (WSC). 31. 3030–3041. 2 indexed citations
13.
Besbes, Omar, Yonatan Gur, & Assaf Zeevi. (2015). Optimization in Online Content Recommendation Services: Beyond Click-Through Rates. Manufacturing & Service Operations Management. 18(1). 15–33. 46 indexed citations
14.
Besbes, Omar, Yonatan Gur, & Assaf Zeevi. (2015). Online Companion: Non-stationary Stochastic Optimization.
15.
Gur, Yonatan, Daniela Sabán, & Nicolás E. Stier‐Moses. (2014). THE COMPETITIVE FACILITY LOCATION PROBLEM IN A DUOPOLY. 2 indexed citations
16.
Besbes, Omar, Yonatan Gur, & Assaf Zeevi. (2014). Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards. Neural Information Processing Systems. 27. 199–207. 98 indexed citations
17.
Besbes, Omar, Yonatan Gur, & Assaf Zeevi. (2014). Optimization in Online Content Recommendation Services: Beyond Click-Through-Rates. SSRN Electronic Journal.
18.
Gur, Yonatan. (2014). Sequential Optimization in Changing Environments: Theory and Application to Online Content Recommendation Services. Columbia Academic Commons (Columbia University). 1 indexed citations
19.
Besbes, Omar, Yonatan Gur, & Assaf Zeevi. (2013). Non-Stationary Stochastic Optimization. SSRN Electronic Journal. 11 indexed citations
20.
Gur, Yonatan, et al.. (2013). Framework Agreements in Procurement: An Auction Model and Design Recommendations. SSRN Electronic Journal. 2 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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