Raj Madhavan
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- Robotic Path Planning Algorithms 22
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 27
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- Robotics and Automated Systems 12
- Artificial Intelligence top 5%
- AI-based Problem Solving and Planning 7
- Semantic Web and Ontologies 5
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- Autonomous Vehicle Technology and Safety 16
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- Modular Robots and Swarm Intelligence 7
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- Remote Sensing and LiDAR Applications 4
- Co-authors
- Craig SchlenoffKingsley FregeneLynne E. ParkerElena R. MessinaEdson PrestesPaulo GonçalvesStephen BalakirskyHugh Durrant‐Whyte
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Partner nations
- United StatesEgyptSouth Korea
In The Last Decade
Raj Madhavan
75 papers receiving 688 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 226
- Aerospace Engineering 226
- Control and Systems Engineering 195
- Industrial and Manufacturing Engineering 81
- Artificial Intelligence 249
Countries citing papers authored by Raj Madhavan
This map shows the geographic impact of Raj Madhavan'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 Raj Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raj Madhavan more than expected).
Fields of papers citing papers by Raj Madhavan
This network shows the impact of papers produced by Raj Madhavan. 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 Raj Madhavan. The network helps show where Raj Madhavan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raj Madhavan, 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 | 2019 | 2 | |
| 2 | 2018 | 9 | |
| 3 | 2012 | 73 | |
| 4 | 2012 | 1 | |
| 5 | 2011 | 1 | |
| 6 | Performance Evaluation and Benchmarking of Robotic and Automation Systems | NIST | 2010 | 1 |
| 7 | 2010 | 4 | |
| 8 | 2010 | 1 | |
| 9 | Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop | 2010 | 6 |
| 10 | Performance evaluation and benchmarking for next intelligent robots and systems | 2009 | 2 |
| 11 | 2009 | 38 | |
| 12 | An Open-Source Virtual Manufacturing Automation Competition | 2008 | 1 |
| 13 | 2006 | 3 | |
| 14 | 2006 | 1 | |
| 15 | 2006 | 1 | |
| 16 | 2006 | 3 | |
| 17 | 2006 | 6 | |
| 18 | 2003 | 11 | |
| 19 | 2003 | 13 | |
| 20 | 2002 | 8 |
About Raj Madhavan
Raj Madhavan is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Medical Laboratory Technology, having authored 83 papers that have together received 752 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (27 papers), Robotic Path Planning Algorithms (22 papers), Autonomous Vehicle Technology and Safety (16 papers), Robotics and Automated Systems (12 papers), AI-based Problem Solving and Planning (7 papers), Modular Robots and Swarm Intelligence (7 papers), Semantic Web and Ontologies (5 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Aerospace Engineering (226 citations) and Control and Systems Engineering (195 citations). Raj Madhavan has collaborated with scholars based in United States, Egypt and South Korea. Frequent co-authors include Craig Schlenoff, Kingsley Fregene, Lynne E. Parker, Elena R. Messina, Edson Prestes, Paulo Gonçalves, Stephen Balakirsky, Hugh Durrant‐Whyte, Ludovic Righetti and Raja Chatila.
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.