Senthil Yogamani

184 total papers · 2.6k total citations
61 papers, 1.0k citations indexed

About

Senthil Yogamani is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Senthil Yogamani has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 19 papers in Automotive Engineering and 15 papers in Aerospace Engineering. Recurrent topics in Senthil Yogamani's work include Advanced Neural Network Applications (31 papers), Autonomous Vehicle Technology and Safety (19 papers) and Video Surveillance and Tracking Methods (15 papers). Senthil Yogamani is often cited by papers focused on Advanced Neural Network Applications (31 papers), Autonomous Vehicle Technology and Safety (19 papers) and Video Surveillance and Tracking Methods (15 papers). Senthil Yogamani collaborates with scholars based in France, United States and Ireland. Senthil Yogamani's co-authors include Varun Ravi Kumar, Hazem Rashed, Martin Jägersand, Mennatullah Siam, Ciarán Hughes, Jonathan Horgan, Stefan Milz, Hong Zhang, John McDonald and Arindam Das and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Image and Vision Computing.

In The Last Decade

Senthil Yogamani

56 papers receiving 950 citations

Author Peers

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

Author Last Decade Papers Cites
Senthil Yogamani 685 232 186 180 98 61 1.0k
Claudius Gläser 610 0.9× 244 1.1× 253 1.4× 256 1.4× 73 0.7× 31 1.0k
Jun Li 510 0.7× 193 0.8× 285 1.5× 179 1.0× 73 0.7× 78 967
Jianhui Zhao 564 0.8× 182 0.8× 154 0.8× 135 0.8× 105 1.1× 52 995
Christian Schütz 636 0.9× 282 1.2× 191 1.0× 218 1.2× 62 0.6× 23 1.0k
Vijay John 576 0.8× 187 0.8× 163 0.9× 137 0.8× 77 0.8× 54 930
Xinyu Huang 639 0.9× 184 0.8× 280 1.5× 129 0.7× 50 0.5× 36 981
Jinshi Cui 834 1.2× 221 1.0× 125 0.7× 349 1.9× 92 0.9× 64 1.2k
Wei Tian 651 1.0× 303 1.3× 233 1.3× 199 1.1× 68 0.7× 95 1.2k
Michael Shneier 749 1.1× 254 1.1× 237 1.3× 153 0.8× 75 0.8× 60 1.0k
Paulo Peixoto 663 1.0× 269 1.2× 350 1.9× 149 0.8× 87 0.9× 50 1.1k

Countries citing papers authored by Senthil Yogamani

Since Specialization
Citations

This map shows the geographic impact of Senthil Yogamani'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 Senthil Yogamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senthil Yogamani more than expected).

Fields of papers citing papers by Senthil Yogamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Senthil Yogamani. 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 Senthil Yogamani. The network helps show where Senthil Yogamani may publish in the future.

Co-authorship network of co-authors of Senthil Yogamani

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

All Works

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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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