Deeksha Sinha
Impact in
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- Statistical Methods in Clinical Trials
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- Advanced Bandit Algorithms Research
Papers in
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- Innovation Diffusion and Forecasting 2
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- Consumer Market Behavior and Pricing 3
- Co-authors
- Vivek F. Farias (5 shared papers)Ciamac C. Moallemi (1 shared paper)Veeraruna Kavitha (1 shared paper)Deva P. Seetharam (1 shared paper)Shivkumar Kalyanaraman (1 shared paper)Vijay Arya (1 shared paper)Jagabondhu Hazra (1 shared paper)Liyanage C. De Silva (1 shared paper)
- Journals
- Journal of Policy Modeling (1 paper)IEEE Journal on Selected Areas in Communications (1 paper)Management Science (1 paper)Manufacturing & Service Operations Management (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesIndiaBrunei
In The Last Decade
Deeksha Sinha
7 papers receiving 67 citations
Peers
Comparison fields: 5 of 33
- Statistics and Probability 13
- Management Science and Operations Research 17
- Modeling and Simulation 5
- Management Information Systems 6
- Automotive Engineering 7
Countries citing papers authored by Deeksha Sinha
This map shows the geographic impact of Deeksha Sinha'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 Deeksha Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeksha Sinha more than expected).
Fields of papers citing papers by Deeksha Sinha
This network shows the impact of papers produced by Deeksha Sinha. 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 Deeksha Sinha. The network helps show where Deeksha Sinha may publish in the future.
Co-authors
The 17 scholars most cited alongside Deeksha Sinha, 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 | 2020 | 28 | |
| 2 | 2013 | 20 | |
| 3 | 2014 | 7 | |
| 4 | 2021 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2020 | 1 | |
| 8 | 2021 | 0 | |
| 9 | 2020 | 0 |
About Deeksha Sinha
Deeksha Sinha is a scholar working on Management Science and Operations Research, Marketing, Information Systems, Economics and Econometrics and Electrical and Electronic Engineering, having authored 9 papers that have together received 67 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (3 papers), Innovation Diffusion and Forecasting (2 papers), Recommender Systems and Techniques (2 papers), Microfinance and Financial Inclusion (2 papers), Complex Network Analysis Techniques (1 paper), Land Rights and Reforms (1 paper), Cooperative Communication and Network Coding (1 paper) and Advanced Wireless Network Optimization (1 paper). The work is most often cited by research in Statistics and Probability (13 citations), Management Science and Operations Research (17 citations), Modeling and Simulation (5 citations), Management Information Systems (6 citations) and Automotive Engineering (7 citations). Deeksha Sinha has collaborated with scholars based in United States, India and Brunei. Frequent co-authors include Vivek F. Farias, Ciamac C. Moallemi, Veeraruna Kavitha, Deva P. Seetharam, Shivkumar Kalyanaraman, Vijay Arya, Jagabondhu Hazra, Liyanage C. De Silva, Tanuja Ganu and Abhay Karandikar. Their work appears in journals such as Journal of Policy Modeling, IEEE Journal on Selected Areas in Communications, Management Science, Manufacturing & Service Operations Management and SSRN Electronic Journal.
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.