Kunal Shah

470 total citations
14 papers, 282 citations indexed

About

Kunal Shah is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Kunal Shah has authored 14 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kunal Shah's work include Distributed Control Multi-Agent Systems (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Robotic Path Planning Algorithms (4 papers). Kunal Shah is often cited by papers focused on Distributed Control Multi-Agent Systems (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Robotic Path Planning Algorithms (4 papers). Kunal Shah collaborates with scholars based in United States, Italy and Finland. Kunal Shah's co-authors include Mac Schwager, Annie E. Schmidt, Grant Ballard, Taylor A. Howell, Brian E. Jackson, Zachary Manchester, Thomas D. C. Little, Mohan Kumar, Mario Di Francesco and Giuseppe Anastasi and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Robotics and Autonomous Systems and Science Robotics.

In The Last Decade

Kunal Shah

13 papers receiving 268 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kunal Shah 129 98 80 64 57 14 282
Haque Nawaz 142 1.1× 87 0.9× 75 0.9× 221 3.5× 27 0.5× 16 328
Jiadong Zhang 88 0.7× 65 0.7× 136 1.7× 97 1.5× 17 0.3× 31 304
Suzi Seroja Sarnin 85 0.7× 166 1.7× 53 0.7× 39 0.6× 10 0.2× 81 336
Mangesh M. Ghonge 52 0.4× 39 0.4× 48 0.6× 163 2.5× 26 0.5× 11 270
Krasimir Tonchev 113 0.9× 99 1.0× 107 1.3× 54 0.8× 19 0.3× 72 323
Sara Minaeian 109 0.8× 72 0.7× 209 2.6× 218 3.4× 50 0.9× 13 388
Bowen Xing 31 0.2× 40 0.4× 89 1.1× 40 0.6× 55 1.0× 39 275
Soyoung Park 96 0.7× 212 2.2× 26 0.3× 45 0.7× 41 0.7× 22 271
Hadjar Ould Slimane 48 0.4× 50 0.5× 25 0.3× 34 0.5× 45 0.8× 7 254
Yin Wu 149 1.2× 172 1.8× 42 0.5× 13 0.2× 13 0.2× 53 343

Countries citing papers authored by Kunal Shah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
1.
Shah, Kunal, et al.. (2024). Online Path Repair: Adapting to Robot Failures in Multi-Robot Aerial Surveys. IEEE Robotics and Automation Letters. 9(3). 2319–2326.
2.
Shah, Kunal, Annie E. Schmidt, Grant Ballard, & Mac Schwager. (2022). Large Scale Aerial Multi-Robot Coverage Path Planning. 2. 1971–1998. 3 indexed citations
3.
Jackson, Brian E., Taylor A. Howell, Kunal Shah, Mac Schwager, & Zachary Manchester. (2020). Scalable Cooperative Transport of Cable-Suspended Loads With UAVs Using Distributed Trajectory Optimization. IEEE Robotics and Automation Letters. 5(2). 3368–3374. 58 indexed citations
4.
Shah, Kunal, Grant Ballard, Annie E. Schmidt, & Mac Schwager. (2020). Multidrone aerial surveys of penguin colonies in Antarctica. Science Robotics. 5(47). 54 indexed citations
5.
Shah, Kunal & Mac Schwager. (2019). GRAPE: Geometric Risk-Aware Pursuit-Evasion. Robotics and Autonomous Systems. 121. 103246–103246. 5 indexed citations
6.
Shah, Kunal, et al.. (2018). Stochastic Pinch Analysis To Optimize Resource Allocation Networks. Industrial & Engineering Chemistry Research. 57(48). 16423–16432. 15 indexed citations
7.
Shah, Kunal, Mario Di Francesco, & Mohan Kumar. (2012). Distributed resource management in wireless sensor networks using reinforcement learning. Wireless Networks. 19(5). 705–724. 6 indexed citations
8.
Shah, Kunal, Mario Di Francesco, Giuseppe Anastasi, & Mohan Kumar. (2011). A framework for Resource-Aware Data Accumulation in sparse wireless sensor networks. Computer Communications. 34(17). 2094–2103. 24 indexed citations
9.
Shah, Kunal & Mohan Kumar. (2010). DReL. 1–7. 2 indexed citations
10.
Little, Thomas D. C., et al.. (2008). Using LED Lighting for Ubiquitous Indoor Wireless Networking. 373–378. 51 indexed citations
11.
Shah, Kunal, et al.. (2008). Resource management in wireless sensor networks using collective intelligence. 423–428. 11 indexed citations
13.
Shah, Kunal, et al.. (2004). Performance analysis of mobile agents in wireless internet applications using simulation.. 613–618. 9 indexed citations
14.
Smith, Julius O., et al.. (2004). Anticipating the future of telematics. 2. 1276–1283. 5 indexed citations

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.

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