Arpita Sinha
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- Distributed Control Multi-Agent Systems 40
- Optimization and Search Problems 9
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- Control and Dynamics of Mobile Robots 8
- Aerospace Engineering top 5%
- Guidance and Control Systems 21
- Robotics and Sensor-Based Localization 8
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- Robotic Path Planning Algorithms 26
- Artificial Intelligence top 10%
- Fuzzy Logic and Control Systems 9
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- Modular Robots and Swarm Intelligence 8
- Co-authors
- B.M. MohanDebasish GhoseSantanu BandyopadhyayUday V. ShenoyP. B. SujitLeena VachhaniHemendra AryaBrian White
- Journals
- European Journal of Control (6 papers)IEEE Transactions on Automatic Control (3 papers)Autonomous Robots (2 papers)
- Partner nations
- IndiaAustraliaUnited Kingdom
In The Last Decade
Arpita Sinha
71 papers receiving 814 citations
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 450
- Control and Systems Engineering 361
- Aerospace Engineering 299
- Computer Vision and Pattern Recognition 145
- Artificial Intelligence 170
Countries citing papers authored by Arpita Sinha
This map shows the geographic impact of Arpita Sinha'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 Arpita Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpita Sinha more than expected).
Fields of papers citing papers by Arpita Sinha
This network shows the impact of papers produced by Arpita Sinha. 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 Arpita Sinha. The network helps show where Arpita Sinha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arpita Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | Orbital Pattern Generation for Double-integrator Agents using Consensus Strategy | 2019 | 1 |
| 8 | 2018 | 2 | |
| 9 | 2017 | 11 | |
| 10 | 2016 | 3 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 2 | |
| 15 | 2012 | 12 | |
| 16 | 2011 | 7 | |
| 17 | 2008 | 32 | |
| 18 | Control of agent swarms using generalized centroidal cyclic pursuit laws | 2007 | 1 |
| 19 | 2007 | 3 | |
| 20 | 2006 | 44 |
About Arpita Sinha
Arpita Sinha is a scholar working on Computer Networks and Communications, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 854 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (40 papers), Robotic Path Planning Algorithms (26 papers), Guidance and Control Systems (21 papers), Optimization and Search Problems (9 papers), Fuzzy Logic and Control Systems (9 papers), Control and Dynamics of Mobile Robots (8 papers), Modular Robots and Swarm Intelligence (8 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Computer Networks and Communications (450 citations), Control and Systems Engineering (361 citations) and Aerospace Engineering (299 citations). Arpita Sinha has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include B.M. Mohan, Debasish Ghose, Santanu Bandyopadhyay, Uday V. Shenoy, P. B. Sujit, Leena Vachhani, Hemendra Arya, Brian White, Antonios Tsourdos and Gaurav Chaudhary. Their work appears in journals such as European Journal of Control, IEEE Transactions on Automatic Control, Autonomous Robots, Automatica and Journal of Intelligent & Robotic Systems.
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.