Prashant Reddy
Impact in
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- Auction Theory and Applications
- Stock Market Forecasting Methods
Papers in
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- Bayesian Modeling and Causal Inference 1
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- Auction Theory and Applications 3
- Game Theory and Applications 1
- Co-authors
- Manuela Veloso (5 shared papers)Wolfgang Ketter (1 shared paper)John Collins (1 shared paper)Robert E. Tillman (2 shared papers)Samuel Assefa (1 shared paper)Daniel Borrajo (1 shared paper)Sameena Shah (1 shared paper)Tucker Balch (1 shared paper)
- Journals
- Energy Economics (1 paper)Oxford Review of Economic Policy (1 paper)International Journal of Medical Research and Review (1 paper)E3S Web of Conferences (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Prashant Reddy
6 papers receiving 259 citations
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 79
- Artificial Intelligence 76
- Automotive Engineering 28
- Management Information Systems 20
- Electrical and Electronic Engineering 124
Countries citing papers authored by Prashant Reddy
This map shows the geographic impact of Prashant Reddy'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 Prashant Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Reddy more than expected).
Fields of papers citing papers by Prashant Reddy
This network shows the impact of papers produced by Prashant Reddy. 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 Prashant Reddy. The network helps show where Prashant Reddy may publish in the future.
Co-authors
The 9 scholars most cited alongside Prashant Reddy, 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 | 104 | |
| 2 | 2013 | 95 | |
| 3 | 2011 | 36 | |
| 4 | 2021 | 22 | |
| 5 | 2013 | 12 | |
| 6 | 2020 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2021 | 0 | |
| 9 | 2015 | 0 |
About Prashant Reddy
Prashant Reddy is a scholar working on Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering, Finance and Molecular Biology, having authored 9 papers that have together received 271 indexed citations. Recurring topics across this work include Auction Theory and Applications (3 papers), Smart Grid Energy Management (3 papers), Financial Markets and Investment Strategies (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Streptococcal Infections and Treatments (1 paper), Bayesian Modeling and Causal Inference (1 paper), Game Theory and Applications (1 paper) and FinTech, Crowdfunding, Digital Finance (1 paper). The work is most often cited by research in Management Science and Operations Research (79 citations), Artificial Intelligence (76 citations), Automotive Engineering (28 citations), Management Information Systems (20 citations) and Electrical and Electronic Engineering (124 citations). Prashant Reddy has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Manuela Veloso, Wolfgang Ketter, John Collins, Robert E. Tillman, Samuel Assefa, Daniel Borrajo, Sameena Shah, Tucker Balch and Manuela Veloso. Their work appears in journals such as Energy Economics, Oxford Review of Economic Policy, International Journal of Medical Research and Review, E3S Web of Conferences and Proceedings of the AAAI Conference on Artificial Intelligence.
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.