Vishal Gupta

1.5k total citations · 1 hit paper
23 papers, 869 citations indexed

About

Vishal Gupta is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Vishal Gupta has authored 23 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 7 papers in Statistics and Probability and 5 papers in Artificial Intelligence. Recurrent topics in Vishal Gupta's work include Risk and Portfolio Optimization (9 papers), Statistical Methods and Inference (4 papers) and Advanced Causal Inference Techniques (4 papers). Vishal Gupta is often cited by papers focused on Risk and Portfolio Optimization (9 papers), Statistical Methods and Inference (4 papers) and Advanced Causal Inference Techniques (4 papers). Vishal Gupta collaborates with scholars based in United States, Greece and India. Vishal Gupta's co-authors include Dimitris Bertsimas, Nathan Kallus, Ioannis Ch. Paschalidis, Paat Rusmevichientong, Παγώνα Λάγιου, Christos Hadjichristodoulou, Velibor V. Mišić, Ioannis Vlachogiannis, Mykel J. Kochenderfer and Kimon Drakopoulos and has published in prestigious journals such as Nature, Management Science and European Journal of Operational Research.

In The Last Decade

Vishal Gupta

21 papers receiving 835 citations

Hit Papers

Data-driven robust optimization 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Data-driven robust optimization
    2017 365 citations Dimitris Bertsimas, Vishal Gupta et al. Mathematical Programming profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishal Gupta United States 10 403 190 147 108 103 23 869
Nathan Kallus United States 14 418 1.0× 166 0.9× 107 0.7× 220 2.0× 131 1.3× 52 975
Grani A. Hanasusanto United States 12 505 1.3× 301 1.6× 126 0.9× 128 1.2× 109 1.1× 26 814
Bernardo K. Pagnoncelli Chile 11 305 0.8× 239 1.3× 117 0.8× 77 0.7× 64 0.6× 39 699
Weijun Xie United States 16 391 1.0× 281 1.5× 243 1.7× 89 0.8× 94 0.9× 59 965
Cécile Murat France 12 421 1.0× 310 1.6× 111 0.8× 85 0.8× 111 1.1× 30 1.1k
Abdel Lisser France 16 321 0.8× 189 1.0× 100 0.7× 76 0.7× 43 0.4× 85 742
Adel Fahad Alrasheedi Saudi Arabia 17 192 0.5× 186 1.0× 212 1.4× 77 0.7× 147 1.4× 106 920
G. Rennen Netherlands 8 428 1.1× 133 0.7× 65 0.4× 96 0.9× 64 0.6× 12 778
Steve Zymler United Kingdom 5 490 1.2× 238 1.3× 138 0.9× 123 1.1× 82 0.8× 5 757
Masatake Nagai Japan 13 669 1.7× 120 0.6× 145 1.0× 48 0.4× 92 0.9× 48 935

Countries citing papers authored by Vishal Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Vishal Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishal Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Vishal Gupta. A scholar is included among the top collaborators of Vishal Gupta 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 Vishal Gupta. Vishal Gupta 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.
Gupta, Vishal, et al.. (2024). Decision-Aware Denoising. SSRN Electronic Journal.
2.
Gupta, Vishal, et al.. (2024). Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization. Operations Research. 72(2). 848–870. 1 indexed citations
3.
Bastani, Hamsa, Kimon Drakopoulos, Vishal Gupta, et al.. (2022). Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System. RePEc: Research Papers in Economics. 52(5). 398–411. 3 indexed citations
4.
Bastani, Hamsa, Kimon Drakopoulos, Vishal Gupta, et al.. (2021). Efficient and targeted COVID-19 border testing via reinforcement learning. Nature. 599(7883). 108–113. 52 indexed citations
5.
Bastani, Hamsa, Kimon Drakopoulos, Vishal Gupta, et al.. (2021). Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border. SSRN Electronic Journal. 1 indexed citations
6.
Gupta, Vishal & Paat Rusmevichientong. (2020). Small-Data, Large-Scale Linear Optimization with Uncertain Objectives. Management Science. 67(1). 220–241. 21 indexed citations
7.
Gupta, Vishal, et al.. (2020). Meta-heuristic based optimization of WSNs Localisation Problem- a Survey. Procedia Computer Science. 173. 36–45. 27 indexed citations
8.
Gupta, Vishal, et al.. (2020). Maximizing Intervention Effectiveness. Management Science. 66(12). 5576–5598. 9 indexed citations
9.
Gupta, Vishal. (2019). Near-Optimal Bayesian Ambiguity Sets for Distributionally Robust Optimization. Management Science. 65(9). 4242–4260. 26 indexed citations
10.
Gupta, Vishal. (2018). Small-Data, Large-Scale Linear Optimization. SSRN Electronic Journal. 1 indexed citations
11.
Bertsimas, Dimitris, John Griffith, Vishal Gupta, Mykel J. Kochenderfer, & Velibor V. Mišić. (2017). A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems. European Journal of Operational Research. 263(2). 664–678. 30 indexed citations
12.
Bertsimas, Dimitris, Vishal Gupta, & Nathan Kallus. (2017). Robust sample average approximation. Mathematical Programming. 171(1-2). 217–282. 157 indexed citations
13.
Gupta, Vishal, et al.. (2017). Maximizing Intervention Effectiveness. SSRN Electronic Journal. 1 indexed citations
14.
Bertsimas, Dimitris, Vishal Gupta, & Nathan Kallus. (2017). Data-driven robust optimization. Mathematical Programming. 167(2). 235–292. 365 indexed citations breakdown →
15.
Dunning, Iain, et al.. (2015). A Course on Advanced Software Tools for Operations Research and Analytics. INFORMS Transactions on Education. 15(2). 169–179. 2 indexed citations
16.
Bertsimas, Dimitris, Vishal Gupta, & Ioannis Ch. Paschalidis. (2014). Data-driven estimation in equilibrium using inverse optimization. Mathematical Programming. 153(2). 595–633. 91 indexed citations
17.
Bertsimas, Dimitris, Vishal Gupta, & Ioannis Ch. Paschalidis. (2012). Inverse Optimization: A New Perspective on the Black-Litterman Model. Operations Research. 60(6). 1389–1403. 62 indexed citations
18.
Gupta, Akanksha, Sharad Sharma, Sandip Vijay, & Vishal Gupta. (2008). Secure path loss prediction using fuzzy logic approach. 236–239. 7 indexed citations
19.
Gupta, Vishal. (2007). Decoupling of Hamiltonian system with applications to linear quadratic problem. UTA ResearchCommons (University of Texas Arlington).
20.
Argon, A. S., et al.. (1989). Intrinsic toughness of interfaces between SiC coatings and substrates of Si or C fibre. Journal of Materials Science. 24(4). 1207–1218. 1 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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