Raj Madhavan

1.2k total citations
83 papers, 752 citations indexed

About

Raj Madhavan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Raj Madhavan has authored 83 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 28 papers in Aerospace Engineering and 22 papers in Control and Systems Engineering. Recurrent topics in Raj Madhavan's work include Robotics and Sensor-Based Localization (27 papers), Robotic Path Planning Algorithms (22 papers) and Autonomous Vehicle Technology and Safety (16 papers). Raj Madhavan is often cited by papers focused on Robotics and Sensor-Based Localization (27 papers), Robotic Path Planning Algorithms (22 papers) and Autonomous Vehicle Technology and Safety (16 papers). Raj Madhavan collaborates with scholars based in United States, Egypt and South Korea. Raj Madhavan's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automation in Construction and International Journal of Control.

In The Last Decade

Raj Madhavan

75 papers receiving 688 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raj Madhavan United States 13 249 226 226 195 101 83 752
Edson Prestes Brazil 16 281 1.1× 293 1.3× 215 1.0× 280 1.4× 133 1.3× 70 915
Norlida Buniyamin Malaysia 14 184 0.7× 230 1.0× 158 0.7× 132 0.7× 76 0.8× 88 885
Jen Jen Chung Switzerland 13 294 1.2× 237 1.0× 201 0.9× 118 0.6× 34 0.3× 54 734
Weiping Wang China 15 213 0.9× 210 0.9× 144 0.6× 119 0.6× 38 0.4× 96 729
Ahmed Elmogy Egypt 11 161 0.6× 176 0.8× 89 0.4× 87 0.4× 91 0.9× 32 720
TaeChoong Chung South Korea 14 216 0.9× 234 1.0× 103 0.5× 105 0.5× 31 0.3× 61 727
Siyu Teng China 12 232 0.9× 406 1.8× 151 0.7× 331 1.7× 87 0.9× 27 1.2k
Yara Rizk Lebanon 10 268 1.1× 132 0.6× 68 0.3× 102 0.5× 82 0.8× 22 660
Brian A. Weiss United States 15 137 0.6× 104 0.5× 79 0.3× 374 1.9× 174 1.7× 67 898
Shen Wang Ireland 15 200 0.8× 154 0.7× 178 0.8× 213 1.1× 52 0.5× 67 1.2k

Countries citing papers authored by Raj Madhavan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Raj Madhavan

This figure shows the co-authorship network connecting the top 25 collaborators of Raj Madhavan. A scholar is included among the top collaborators of Raj Madhavan 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 Raj Madhavan. Raj Madhavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bretl, Timothy, Ludovic Righetti, & Raj Madhavan. (2019). Epstein, Project Maven, and Some Reasons to Think About Where We Get Our Funding [Ethical, Legal, and Societal Issues]. IEEE Robotics & Automation Magazine. 26(4). 8–13. 2 indexed citations
2.
Amigoni, Francesco, Wonpil Yu, Torsten Andre, et al.. (2018). A Standard for Map Data Representation: IEEE 1873-2015 Facilitates Interoperability Between Robots. IEEE Robotics & Automation Magazine. 25(1). 65–76. 9 indexed citations
3.
Schlenoff, Craig, Edson Prestes, Raj Madhavan, et al.. (2012). An IEEE standard Ontology for Robotics and Automation. 1337–1342. 73 indexed citations
4.
Madhavan, Raj. (2012). RAS Standing Committee for Standards Activities—A Status Update [Industrial Activities]. IEEE Robotics & Automation Magazine. 19(1). 16–17. 1 indexed citations
5.
Yu, Wonpil, Hyungpil Moon, Geoffrey Biggs, & Raj Madhavan. (2011). Progress on standard development of map data representation. 770–771. 1 indexed citations
6.
Madhavan, Raj, Ángel P. del Pobil, & Elena R. Messina. (2010). Performance Evaluation and Benchmarking of Robotic and Automation Systems | NIST. IEEE Robotics & Automation Magazine. 1 indexed citations
7.
Madhavan, Raj. (2010). Robots in Military and Aerospace Technologies [News and Views. IEEE Robotics & Automation Magazine. 17(2). 6–6. 4 indexed citations
8.
Messina, Elena R., Brian A. Weiss, & Raj Madhavan. (2010). Co-X panel discussion. 361–363. 1 indexed citations
9.
Messina, Elena R., et al.. (2010). Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop. 6 indexed citations
10.
Pobil, Ángel P. del, et al.. (2009). Performance evaluation and benchmarking for next intelligent robots and systems. 1–1. 2 indexed citations
11.
Madhavan, Raj. (2009). Performance Evaluation and Benchmarking of Intelligent Systems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 38 indexed citations
12.
Madhavan, Raj, Stephen Balakirsky, & Chris Scrapper. (2008). An Open-Source Virtual Manufacturing Automation Competition. 1 indexed citations
13.
Madhavan, Raj, et al.. (2006). Symbolic Road Perception-based Autonomous Driving in Urban Environments. 12–12. 3 indexed citations
14.
Madhavan, Raj, Zeid Kootbally, & Craig Schlenoff. (2006). Performance analysis of critical time points for moving object prediction in dynamic environments (PRIDE). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6230. 62301R–62301R. 1 indexed citations
15.
Kootbally, Zeid, Raj Madhavan, & Craig Schlenoff. (2006). Prediction in Dynamic Environments via Identification of Critical Time Points. 1. 1–7. 1 indexed citations
16.
Bostelman, Roger, et al.. (2006). Performance analysis of unmanned vehicle positioning and obstacle mapping. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6230. 62301W–62301W. 3 indexed citations
17.
Madhavan, Raj, Zeid Kootbally, & Craig Schlenoff. (2006). Prediction in Dynamic Environments for Autonomous On-Road Driving. 1. 1–6. 6 indexed citations
18.
Madhavan, Raj & Craig Schlenoff. (2003). Moving object prediction for off-road autonomous navigation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5083. 134–134. 11 indexed citations
19.
Fregene, Kingsley, Raj Madhavan, & Lynne E. Parker. (2003). Incremental multi-agent robotic mapping of outdoor terrains. 2. 1339–1346. 13 indexed citations
20.
Madhavan, Raj. (2002). Terrain Aided Localization of Autonomous Vehicles. Proceedings of the ... ISARC. 8 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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