V. Sivakumar
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Artificial Intelligence
- Information Systems
- Ocean Engineering
- Co-authors
- D. RekhaBaojing ZhangXiaheng ZhangR. SujathaArindam BanerjeeSheng ChenFarideh FazayeliR. Dinesh Jackson Samuel
- Topics
- Statistical Methods and Inference (4 papers)Energy Efficient Wireless Sensor Networks (4 papers)Underwater Vehicles and Communication Systems (4 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
V. Sivakumar
22 papers receiving 213 citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 57
- Electrical and Electronic Engineering 49
- Artificial Intelligence 44
- Information Systems 37
- Ocean Engineering 29
Countries citing papers authored by V. Sivakumar
This map shows the geographic impact of V. Sivakumar'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 V. Sivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Sivakumar more than expected).
Fields of papers citing papers by V. Sivakumar
This network shows the impact of papers produced by V. Sivakumar. 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 V. Sivakumar. The network helps show where V. Sivakumar may publish in the future.
Co-authorship network of co-authors of V. Sivakumar
This figure shows the co-authorship network connecting the top 25 collaborators of V. Sivakumar. A scholar is included among the top collaborators of V. Sivakumar 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 V. Sivakumar. V. Sivakumar 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 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 30 | |
| 12 | 0 | |
| 13 | 17 | |
| 14 | 3 | |
| 15 | 23 | |
| 16 | 16 | |
| 17 | High-Dimensional Structured Quantile Regression | 2 |
| 18 | Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs. | 7 |
| 19 | 18 | |
| 20 | 12 |
About V. Sivakumar
V. Sivakumar is a scholar working on Software, Statistics and Probability and Computer Networks and Communications, having authored 25 papers that have together received 231 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Computational Mathematics (3 citations), Computer Networks and Communications (57 citations) and Media Technology (20 citations). V. Sivakumar has collaborated with scholars based in India, United States and China. Frequent co-authors include D. Rekha, Baojing Zhang, Xiaheng Zhang, R. Sujatha, Arindam Banerjee, Sheng Chen, Farideh Fazayeli, R. Dinesh Jackson Samuel, Jaideep Srivastava and Yixin Chen. Their work appears in journals such as IEEE Access, Computer Communications and Environmental Impact Assessment Review.
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.