Sanjeev R. Kulkarni
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- H. Vincent PoorSergio VerdúPramod ViswanathPeter J. RamadgeMete ÖzayIñaki EsnaolaFatoş T. Yarman VuralDenız Gündüz
- Topics
- Machine Learning and Algorithms (23 papers)Algorithms and Data Compression (23 papers)Cooperative Communication and Network Coding (20 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlIEEE Transactions on Information Theory
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Sanjeev R. Kulkarni
207 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Networks and Communications 1.8k
- Artificial Intelligence 1.7k
- Electrical and Electronic Engineering 1.3k
- Control and Systems Engineering 772
- Computer Vision and Pattern Recognition 629
Countries citing papers authored by Sanjeev R. Kulkarni
This map shows the geographic impact of Sanjeev R. 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 Sanjeev R. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev R. Kulkarni more than expected).
Fields of papers citing papers by Sanjeev R. Kulkarni
This network shows the impact of papers produced by Sanjeev R. 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 Sanjeev R. Kulkarni. The network helps show where Sanjeev R. Kulkarni may publish in the future.
Co-authorship network of co-authors of Sanjeev R. Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev R. Kulkarni. A scholar is included among the top collaborators of Sanjeev R. 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 Sanjeev R. Kulkarni. Sanjeev R. 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 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 151 | |
| 6 | 70 | |
| 7 | 59 | |
| 8 | Update Aware Device Scheduling for Federated Learning at the Wireless Edge | 4 |
| 9 | SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection | 4 |
| 10 | AIQL: enabling efficient attack investigation from system monitoring data | 15 |
| 11 | 1 | |
| 12 | Detection of shilling attacks in recommender systems via spectral clustering | 31 |
| 13 | The application of differential privacy for rank aggregation: Privacy and accuracy | 1 |
| 14 | Delay-Doppler and Radar-Interferometric Imaging of the Near-Earth Asteroid 2008 EV5 | 1 |
| 15 | 40 | |
| 16 | Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management | 32 |
| 17 | Radar Interferometric Imaging of Near-Earth Objects | 1 |
| 18 | Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations | 22 |
| 19 | Inductive Simplicity and the Matrix | 1 |
| 20 | Learning pattern classification— a survey (invited paper) | 1 |
About Sanjeev R. Kulkarni
Sanjeev R. Kulkarni is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistics and Probability, having authored 219 papers that have together received 4.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (23 papers), Algorithms and Data Compression (23 papers) and Cooperative Communication and Network Coding (20 papers). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Artificial Intelligence (1.7k citations) and Signal Processing (393 citations). Sanjeev R. Kulkarni has collaborated with scholars based in United States, Australia and India. Frequent co-authors include H. Vincent Poor, Sergio Verdú, Pramod Viswanath, Peter J. Ramadge, Mete Özay, Iñaki Esnaola, Fatoş T. Yarman Vural, Denız Gündüz, Qing Wang and Steven L. Brunton. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.
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.