Mahesh Vemula
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Ocean Engineering
- Control and Systems Engineering
- Co-authors
- Petar M. DjurićMónica F. BugalloJoaquı́n Mı́guezAntonio Artés-Rodrı́guezJonathan LingD. AvidorConstantinos B. Papadias
- Topics
- Target Tracking and Data Fusion in Sensor Networks (12 papers)Distributed Sensor Networks and Detection Algorithms (10 papers)Indoor and Outdoor Localization Technologies (4 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceElectrical and Electronic Engineering
- Partner nations
- United StatesSpainIndia
In The Last Decade
Mahesh Vemula
13 papers receiving 259 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 192
- Artificial Intelligence 176
- Electrical and Electronic Engineering 145
- Ocean Engineering 32
- Control and Systems Engineering 31
Countries citing papers authored by Mahesh Vemula
This map shows the geographic impact of Mahesh Vemula'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 Mahesh Vemula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Vemula more than expected).
Fields of papers citing papers by Mahesh Vemula
This network shows the impact of papers produced by Mahesh Vemula. 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 Mahesh Vemula. The network helps show where Mahesh Vemula may publish in the future.
Co-authorship network of co-authors of Mahesh Vemula
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Vemula. A scholar is included among the top collaborators of Mahesh Vemula 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 Mahesh Vemula. Mahesh Vemula 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 | 38 | |
| 3 | 129 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 16 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 14 |
About Mahesh Vemula
Mahesh Vemula is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 275 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (12 papers), Distributed Sensor Networks and Detection Algorithms (10 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (192 citations), Artificial Intelligence (176 citations) and Electrical and Electronic Engineering (145 citations). Mahesh Vemula has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Petar M. Djurić, Mónica F. Bugallo, Joaquı́n Mı́guez, Antonio Artés-Rodrı́guez, Jonathan Ling, D. Avidor and Constantinos B. Papadias. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing and IEEE Signal Processing Letters.
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.