S. S. Mehta

77 total papers · 1.1k total citations
66 papers, 811 citations indexed

About

S. S. Mehta is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, S. S. Mehta has authored 66 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Aerospace Engineering, 24 papers in Computer Vision and Pattern Recognition and 20 papers in Control and Systems Engineering. Recurrent topics in S. S. Mehta's work include Advanced Vision and Imaging (20 papers), Robotics and Sensor-Based Localization (18 papers) and Smart Agriculture and AI (14 papers). S. S. Mehta is often cited by papers focused on Advanced Vision and Imaging (20 papers), Robotics and Sensor-Based Localization (18 papers) and Smart Agriculture and AI (14 papers). S. S. Mehta collaborates with scholars based in United States, China and Canada. S. S. Mehta's co-authors include Thomas F. Burks, Zhen Kan, Warren E. Dixon, William MacKunis, J. Willard Curtis, Emily A. Doucette, Monali S. Malvankar‐Mehta, Michael McCourt, Guoqiang Hu and Nicholas Gans and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics and Journal of the Franklin Institute.

In The Last Decade

S. S. Mehta

64 papers receiving 784 citations

Author Peers

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

Author Last Decade Papers Cites
S. S. Mehta 333 198 181 142 118 66 811
Kaixiang Zhang 197 0.6× 201 1.0× 112 0.6× 194 1.4× 65 0.6× 61 889
Antonio Petitti 183 0.5× 145 0.7× 92 0.5× 144 1.0× 271 2.3× 32 732
He Kong 196 0.6× 196 1.0× 96 0.5× 241 1.7× 46 0.4× 78 945
Marija Popović 411 1.2× 347 1.8× 291 1.6× 69 0.5× 82 0.7× 39 927
Matthew Coombes 268 0.8× 238 1.2× 307 1.7× 211 1.5× 103 0.9× 45 923
Miguel Torres‐Torriti 272 0.8× 282 1.4× 148 0.8× 269 1.9× 28 0.2× 82 1.0k
Jiangming Kan 132 0.4× 260 1.3× 90 0.5× 130 0.9× 65 0.6× 106 1.0k
Alberto Pretto 281 0.8× 320 1.6× 378 2.1× 61 0.4× 37 0.3× 35 848
Theodore Pachidis 432 1.3× 131 0.7× 46 0.3× 94 0.7× 37 0.3× 51 848
Mark Whitty 481 1.4× 146 0.7× 88 0.5× 102 0.7× 24 0.2× 41 809

Countries citing papers authored by S. S. Mehta

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Mehta. A scholar is included among the top collaborators of S. S. Mehta 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 S. S. Mehta. S. S. Mehta 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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