Somit Gupta
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Computer Science Applications top 10%
- Open Source Software Innovations
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Statistical Methods in Clinical Trials 4
- Advanced Causal Inference Techniques 2
- Software 3
- Software Testing and Debugging Techniques 3
- Software Reliability and Analysis Research 3
- Co-authors
- Pavel Dmitriev (7 shared papers)Dong Woo Kim (1 shared paper)Ron Kohavi (2 shared papers)Aleksander Fabijan (3 shared papers)Iavor Bojinov (1 shared paper)Jiannan Lu (2 shared papers)Alex Deng (2 shared papers)Sophia Liu (2 shared papers)
- Journals
- Technometrics (1 paper)Malmö University Publications (Malmö University) (1 paper)Harvard Data Science Review (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Somit Gupta
12 papers receiving 228 citations
Peers
Comparison fields: 5 of 49
- Statistics and Probability 89
- Computer Science Applications 46
- Software 23
- General Decision Sciences 7
- Management Information Systems 35
Countries citing papers authored by Somit Gupta
This map shows the geographic impact of Somit 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 Somit Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somit Gupta more than expected).
Fields of papers citing papers by Somit Gupta
This network shows the impact of papers produced by Somit 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 Somit Gupta. The network helps show where Somit Gupta may publish in the future.
Co-authors
The 12 scholars most cited alongside Somit Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2017 | 45 | |
| 3 | 2016 | 37 | |
| 4 | 2018 | 36 | |
| 5 | 2019 | 16 | |
| 6 | 2017 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 2 |
About Somit Gupta
Somit Gupta is a scholar working on Statistics and Probability, Software, Information Systems, Information Systems and Management and Computer Science Applications, having authored 12 papers that have together received 244 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Statistical Methods in Clinical Trials (4 papers), Software Testing and Debugging Techniques (3 papers), Software Reliability and Analysis Research (3 papers), Big Data and Business Intelligence (2 papers), Advanced Causal Inference Techniques (2 papers), Scientific Computing and Data Management (2 papers) and Open Source Software Innovations (2 papers). The work is most often cited by research in Statistics and Probability (89 citations), Computer Science Applications (46 citations), Software (23 citations), General Decision Sciences (7 citations) and Management Information Systems (35 citations). Somit Gupta has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Pavel Dmitriev, Dong Woo Kim, Ron Kohavi, Aleksander Fabijan, Iavor Bojinov, Jiannan Lu, Alex Deng, Sophia Liu, Xin Fu and Xiaolin Shi. Their work appears in journals such as Technometrics, Malmö University Publications (Malmö University), Harvard Data Science Review and ACM SIGKDD Explorations Newsletter.
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.