Ankur A. Kulkarni
- Electrical and Electronic Engineering
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Uday V. ShanbhagTodd P. ColemanMathew AbrahamNegar KiyavashDaniel CullinaVenkatesh SaranganVivek S. BorkarSharayu Moharir
- Topics
- Game Theory and Applications (18 papers)Economic theories and models (11 papers)Wireless Communication Security Techniques (10 papers)
- Cited by
- Management Science and Operations ResearchComputational Theory and MathematicsEconomics and Econometrics
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Ankur A. Kulkarni
43 papers receiving 375 citations
Peers
Comparison fields: 5 of 53
- Electrical and Electronic Engineering 137
- Management Science and Operations Research 127
- Economics and Econometrics 104
- Computational Theory and Mathematics 95
- Computer Networks and Communications 67
Countries citing papers authored by Ankur A. Kulkarni
This map shows the geographic impact of Ankur A. Kulkarni'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 Ankur A. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankur A. Kulkarni more than expected).
Fields of papers citing papers by Ankur A. Kulkarni
This network shows the impact of papers produced by Ankur A. Kulkarni. 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 Ankur A. Kulkarni. The network helps show where Ankur A. Kulkarni may publish in the future.
Co-authorship network of co-authors of Ankur A. Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Ankur A. Kulkarni. A scholar is included among the top collaborators of Ankur A. Kulkarni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankur A. Kulkarni. Ankur A. Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | Global Equilibria of Multi-leader Multi-follower Games | 2 |
| 19 | 25 | |
| 20 | 2 |
About Ankur A. Kulkarni
Ankur A. Kulkarni is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Computer Networks and Communications, having authored 48 papers that have together received 389 indexed citations. Recurring topics across this work include Game Theory and Applications (18 papers), Economic theories and models (11 papers) and Wireless Communication Security Techniques (10 papers). The work is most often cited by research in Management Science and Operations Research (127 citations), Computational Theory and Mathematics (95 citations) and Economics and Econometrics (104 citations). Ankur A. Kulkarni has collaborated with scholars based in India, United States and France. Frequent co-authors include Uday V. Shanbhag, Todd P. Coleman, Mathew Abraham, Negar Kiyavash, Daniel Cullina, Venkatesh Sarangan, Vivek S. Borkar, Sharayu Moharir, Jayakrishnan Nair and Abhay Karandikar. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Automatica.
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.