Kunal Shah
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Mac SchwagerAnnie E. SchmidtGrant BallardTaylor A. HowellZachary ManchesterBrian E. JacksonThomas D. C. LittleMohan Kumar
- Topics
- Distributed Control Multi-Agent Systems (6 papers)Energy Efficient Wireless Sensor Networks (5 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionAerospace Engineering
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Kunal Shah
13 papers receiving 268 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 129
- Electrical and Electronic Engineering 98
- Computer Vision and Pattern Recognition 80
- Aerospace Engineering 64
- Control and Systems Engineering 57
Countries citing papers authored by Kunal Shah
This map shows the geographic impact of Kunal Shah'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 Kunal Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Shah more than expected).
Fields of papers citing papers by Kunal Shah
This network shows the impact of papers produced by Kunal Shah. 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 Kunal Shah. The network helps show where Kunal Shah may publish in the future.
Co-authorship network of co-authors of Kunal Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Kunal Shah. A scholar is included among the top collaborators of Kunal Shah 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 Kunal Shah. Kunal Shah 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 | 3 | |
| 3 | 54 | |
| 4 | 58 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 51 | |
| 11 | 11 | |
| 12 | 39 | |
| 13 | Performance analysis of mobile agents in wireless internet applications using simulation. | 9 |
| 14 | 5 |
About Kunal Shah
Kunal Shah is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 14 papers that have together received 282 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Computer Networks and Communications (129 citations), Computer Vision and Pattern Recognition (80 citations) and Aerospace Engineering (64 citations). Kunal Shah has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Mac Schwager, Annie E. Schmidt, Grant Ballard, Taylor A. Howell, Zachary Manchester, Brian E. Jackson, Thomas D. C. Little, Mohan Kumar, Mario Di Francesco and Giuseppe Anastasi. Their work appears in journals such as Industrial & Engineering Chemistry Research, Robotics and Autonomous Systems and Science Robotics.
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.