Aditya Vempaty
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Science Applications top 5%
- Co-authors
- Pramod K. VarshneyLang TongLav R. VarshneyRuixin NiuOnur ÖzdemirHao ChenBiao ChenSijia Liu
- Topics
- Distributed Sensor Networks and Detection Algorithms (22 papers)Target Tracking and Data Fusion in Sensor Networks (15 papers)Sparse and Compressive Sensing Techniques (5 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- United StatesIndiaTaiwan
In The Last Decade
Aditya Vempaty
33 papers receiving 538 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 371
- Artificial Intelligence 297
- Electrical and Electronic Engineering 214
- Control and Systems Engineering 76
- Computer Science Applications 57
Countries citing papers authored by Aditya Vempaty
This map shows the geographic impact of Aditya Vempaty'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 Aditya Vempaty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Vempaty more than expected).
Fields of papers citing papers by Aditya Vempaty
This network shows the impact of papers produced by Aditya Vempaty. 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 Aditya Vempaty. The network helps show where Aditya Vempaty may publish in the future.
Co-authorship network of co-authors of Aditya Vempaty
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Vempaty. A scholar is included among the top collaborators of Aditya Vempaty 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 Aditya Vempaty. Aditya Vempaty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Research Questions to Support Conversational Learning in the Era of Ubiquitous, Mobile Agents. | 1 |
| 3 | 13 | |
| 4 | 77 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | Correcting forecasts with multifactor neural attention | 8 |
| 9 | Sparsity-promoting sensor management for estimation: An energy balance point of view | 6 |
| 10 | 7 | |
| 11 | 33 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | Further results on noise-enhanced distributed inference in the presence of Byzantines | 3 |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 101 | |
| 18 | 5 | |
| 19 | 82 | |
| 20 | 12 |
About Aditya Vempaty
Aditya Vempaty is a scholar working on Computer Science Applications, Computer Networks and Communications and Artificial Intelligence, having authored 34 papers that have together received 555 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (22 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (371 citations), Computer Science Applications (57 citations) and Artificial Intelligence (297 citations). Aditya Vempaty has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Pramod K. Varshney, Lang Tong, Lav R. Varshney, Ruixin Niu, Onur Özdemir, Hao Chen, Hao Chen, Biao Chen, Sijia Liu and Makan Fardad. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.