Kavita Ramanan
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 2%
- Management Information Systems top 2%
- Finance top 5%
- Mathematical Physics top 5%
- Co-authors
- Alexander StolyarKrishnan KumaranMatthew AndrewsPhilip WhitingR. VijayakumarPaul DupuisJosé M. F. MouraSoummya Kar
- Topics
- Advanced Queuing Theory Analysis (20 papers)Stochastic processes and financial applications (12 papers)Stochastic processes and statistical mechanics (12 papers)
- Cited by
- Computer Networks and CommunicationsManagement Information SystemsElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Information TheoryIEEE Communications MagazineTransactions of the American Mathematical Society
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Kavita Ramanan
61 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 1.6k
- Electrical and Electronic Engineering 1.5k
- Management Information Systems 387
- Finance 228
- Mathematical Physics 186
Countries citing papers authored by Kavita Ramanan
This map shows the geographic impact of Kavita Ramanan'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 Kavita Ramanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kavita Ramanan more than expected).
Fields of papers citing papers by Kavita Ramanan
This network shows the impact of papers produced by Kavita Ramanan. 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 Kavita Ramanan. The network helps show where Kavita Ramanan may publish in the future.
Co-authorship network of co-authors of Kavita Ramanan
This figure shows the co-authorship network connecting the top 25 collaborators of Kavita Ramanan. A scholar is included among the top collaborators of Kavita Ramanan 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 Kavita Ramanan. Kavita Ramanan 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 42 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 42 | |
| 14 | 234 | |
| 15 | 23 | |
| 16 | 10 | |
| 17 | 70 | |
| 18 | 16 | |
| 19 | 3 | |
| 20 | 0 |
About Kavita Ramanan
Kavita Ramanan is a scholar working on Management Information Systems, Mathematical Physics and Statistics and Probability, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (20 papers), Stochastic processes and financial applications (12 papers) and Stochastic processes and statistical mechanics (12 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Management Information Systems (387 citations) and Electrical and Electronic Engineering (1.5k citations). Kavita Ramanan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Alexander Stolyar, Krishnan Kumaran, Matthew Andrews, Philip Whiting, R. Vijayakumar, Paul Dupuis, José M. F. Moura, Soummya Kar, Phil Whiting and Jin Cao. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Communications Magazine and Transactions of the American Mathematical Society.
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.