Vishal Gupta

21 papers receiving 874 citations

Vishal Gupta's Hit Papers

Data-driven robust optimization 2017 · 378 citations
3780+3+6Years since publication100200300

Peers

Vishal Gupta
Comparison fields: 5 of 95
  • Management Science and Operations Research 415
  • Statistics and Probability 116
  • Management Information Systems 107
  • Statistics, Probability and Uncertainty 81
  • Control and Systems Engineering 194
Replace Grani A. Hanasusanto with:
Grani A. Hanasusanto United States
Nathan Kallus United States
Bernardo K. Pagnoncelli Chile
Steve Zymler United Kingdom
Weijun Xie United States
G. Rennen Netherlands
V. I. Norkin Ukraine
Cécile Murat France
Karthik Natarajan Singapore
Abdel Lisser France
Vishal Gupta relative to Grani A. Hanasusanto United States Grani A. Hanasusanto's profile →
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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-authors

The 25 scholars most cited alongside Vishal Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vishal Gupta Line = papers co-authored together Vishal Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-driven robust optimization
Hit paper breakdown →
2017378
2 2017167
3 201493
4 201263
5 202154
6 201731
7 201928
8 202027
9 202022
10 202010
11 20187
12 20087
13 20224
14 20213
15 20242
16 20152
17 20172
18 20171
19 19891
20 20211

About Vishal Gupta

Vishal Gupta is a scholar working on Management Science and Operations Research, Statistics and Probability, Artificial Intelligence, Economics and Econometrics and Infectious Diseases, having authored 23 papers that have together received 904 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (9 papers), Advanced Causal Inference Techniques (4 papers), Statistical Methods and Inference (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Advanced Bandit Algorithms Research (3 papers), COVID-19 epidemiological studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (415 citations), Statistics and Probability (116 citations), Management Information Systems (107 citations), Statistics, Probability and Uncertainty (81 citations) and Control and Systems Engineering (194 citations). Vishal Gupta has collaborated with scholars based in United States, Greece and India. Frequent co-authors include Dimitris Bertsimas, Nathan Kallus, Ioannis Ch. Paschalidis, Paat Rusmevichientong, Gkikas Magiorkinis, Dimitrios Paraskevis, Hamsa Bastani, Kimon Drakopoulos, Sotirios Tsiodras and Παγώνα Λάγιου. Their work appears in journals such as Management Science, Mathematical Programming, Operations Research, Nature and European Journal of Operational Research.

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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