S. Srinivasan

86 total papers · 824 total citations
51 papers, 523 citations indexed

About

S. Srinivasan is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, S. Srinivasan has authored 51 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 16 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in S. Srinivasan's work include Data Mining Algorithms and Applications (10 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). S. Srinivasan is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). S. Srinivasan collaborates with scholars based in India, United States and Singapore. S. Srinivasan's co-authors include K.R. Ramakrishnan, R. Venkatesh Babu, Rama Chellappa, G. Manikandan, Bruce H. Kemelgor, Scott D. Johnson, Vivek Kumar, Jagjit Singh, P. Asha and Gang Qian and has published in prestigious journals such as Computer, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition Letters.

In The Last Decade

S. Srinivasan

44 papers receiving 466 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. Srinivasan 211 206 158 140 61 51 523
Lan Xu 213 1.0× 171 0.8× 27 0.2× 50 0.4× 6 0.1× 65 590
Alessandro D’Atri 100 0.5× 41 0.2× 16 0.1× 46 0.3× 82 1.3× 54 488
Diane Donovan 111 0.5× 58 0.3× 57 0.4× 274 2.0× 5 0.1× 88 451
Kannan Balakrishnan 152 0.7× 158 0.8× 22 0.1× 10 0.1× 62 1.0× 56 514
Fang Sun 58 0.3× 26 0.1× 36 0.2× 83 0.6× 16 0.3× 59 455
Yuan Tian 299 1.4× 226 1.1× 5 0.0× 29 0.2× 43 0.7× 76 597
Yannis C. Stamatiou 164 0.8× 53 0.3× 26 0.2× 22 0.2× 60 1.0× 60 498
Juhani Nieminen 96 0.5× 24 0.1× 28 0.2× 26 0.2× 20 0.3× 43 618
Lu Chen 202 1.0× 69 0.3× 17 0.1× 62 0.4× 112 1.8× 53 519
Flaminia L. Luccio 119 0.6× 34 0.2× 13 0.1× 31 0.2× 46 0.8× 64 508

Countries citing papers authored by S. Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by S. Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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