Karthyek Murthy
Impact in
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- Risk and Portfolio Optimization
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- Probabilistic and Robust Engineering Design
Papers in
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- Risk and Portfolio Optimization 6
- Probability and Risk Models 3
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- Stochastic processes and statistical mechanics 5
- Co-authors
- José Blanchet (7 shared papers)Yang Kang (2 shared papers)Fan Zhang (2 shared papers)Fei He (1 shared paper)Krishna B. Athreya (1 shared paper)Sandeep Juneja (2 shared papers)Karthik Natarajan (1 shared paper)Viet Anh Nguyen (1 shared paper)
- Journals
- Journal of Applied Probability (3 papers)Stochastic Systems (1 paper)Mathematics of Operations Research (1 paper)Operations Research (1 paper)Biometrika (1 paper)
- Partner nations
- SingaporeUnited StatesIndia
In The Last Decade
Karthyek Murthy
12 papers receiving 174 citations
Peers
Comparison fields: 5 of 42
- Management Science and Operations Research 114
- Statistics, Probability and Uncertainty 42
- Statistics and Probability 46
- Finance 23
- General Decision Sciences 4
Countries citing papers authored by Karthyek Murthy
This map shows the geographic impact of Karthyek Murthy'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 Karthyek Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthyek Murthy more than expected).
Fields of papers citing papers by Karthyek Murthy
This network shows the impact of papers produced by Karthyek Murthy. 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 Karthyek Murthy. The network helps show where Karthyek Murthy may publish in the future.
Co-authors
The 8 scholars most cited alongside Karthyek Murthy, 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 | 115 | |
| 2 | 2021 | 17 | |
| 3 | 2021 | 16 | |
| 4 | 2020 | 8 | |
| 5 | 2014 | 5 | |
| 6 | FELLER'S RENEWAL THEOREM FOR SYSTEMS OF RENEWAL EQUATIONS | 2013 | 4 |
| 7 | 2021 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | Data-driven Optimal Transport Cost Selection for Distributionally Robust Optimizatio | 2017 | 2 |
| 11 | 1980 | 1 | |
| 12 | 1980 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2022 | 0 |
About Karthyek Murthy
Karthyek Murthy is a scholar working on Management Science and Operations Research, Mathematical Physics, Statistics and Probability, Artificial Intelligence and Economics and Econometrics, having authored 15 papers that have together received 181 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (6 papers), Stochastic processes and statistical mechanics (5 papers), Statistical Methods and Inference (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Probability and Risk Models (3 papers), Bayesian Methods and Mixture Models (3 papers), Probabilistic and Robust Engineering Design (2 papers) and Diffusion and Search Dynamics (2 papers). The work is most often cited by research in Management Science and Operations Research (114 citations), Statistics, Probability and Uncertainty (42 citations), Statistics and Probability (46 citations), Finance (23 citations) and General Decision Sciences (4 citations). Karthyek Murthy has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include José Blanchet, Yang Kang, Fan Zhang, Fei He, Krishna B. Athreya, Sandeep Juneja, Karthik Natarajan and Viet Anh Nguyen. Their work appears in journals such as Journal of Applied Probability, Stochastic Systems, Mathematics of Operations Research, Operations Research and Biometrika.
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.