Anit Kumar Sahu
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Stochastic Gradient Optimization Techniques 9
- Privacy-Preserving Technologies in Data 6
- Target Tracking and Data Fusion in Sensor Networks 4
-
- Distributed Sensor Networks and Detection Algorithms 10
- Distributed Control Multi-Agent Systems 9
- Co-authors
- Soummya Kar (20 shared papers)Manzil Zaheer (2 shared papers)Ameet Talwalkar (1 shared paper)Maziar Sanjabi (1 shared paper)Tian Li (1 shared paper)Virginia Smith (1 shared paper)Salman Avestimehr (3 shared papers)J. Zico Kolter (2 shared papers)
- Journals
- IEEE Transactions on Signal Processing (3 papers)SIAM Journal on Optimization (1 paper)Neurocomputing (1 paper)Proceedings of the IEEE (1 paper)SIAM Journal on Control and Optimization (1 paper)
- Partner nations
- United StatesSerbiaSouth Korea
In The Last Decade
Anit Kumar Sahu
27 papers receiving 309 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 248
- Computer Science Applications 32
- Computer Networks and Communications 84
- Health Informatics 3
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Anit Kumar Sahu
This map shows the geographic impact of Anit Kumar Sahu'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 Anit Kumar Sahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anit Kumar Sahu more than expected).
Fields of papers citing papers by Anit Kumar Sahu
This network shows the impact of papers produced by Anit Kumar Sahu. 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 Anit Kumar Sahu. The network helps show where Anit Kumar Sahu may publish in the future.
Co-authors
The 25 scholars most cited alongside Anit Kumar Sahu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the Convergence of Federated Optimization in Heterogeneous Networks. | 2018 | 137 |
| 2 | 2022 | 40 | |
| 3 | Multiplicative Filter Networks | 2021 | 19 |
| 4 | 2021 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2018 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2018 | 4 | |
| 12 | 2014 | 4 | |
| 13 | 2018 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2016 | 1 |
About Anit Kumar Sahu
Anit Kumar Sahu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Mechanics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 317 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (10 papers), Stochastic Gradient Optimization Techniques (9 papers), Distributed Control Multi-Agent Systems (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Privacy-Preserving Technologies in Data (6 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Advanced Bandit Algorithms Research (4 papers) and Advanced Adaptive Filtering Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (248 citations), Computer Science Applications (32 citations), Computer Networks and Communications (84 citations), Health Informatics (3 citations) and Computer Vision and Pattern Recognition (40 citations). Anit Kumar Sahu has collaborated with scholars based in United States, Serbia and South Korea. Frequent co-authors include Soummya Kar, Manzil Zaheer, Ameet Talwalkar, Maziar Sanjabi, Tian Li, Virginia Smith, Salman Avestimehr, J. Zico Kolter, Dušan Jakovetić and Shuang Wu. Their work appears in journals such as IEEE Transactions on Signal Processing, SIAM Journal on Optimization, Neurocomputing, Proceedings of the IEEE and SIAM Journal on Control and Optimization.
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.