S. Sridhar

118 total papers · 625 total citations
55 papers, 394 citations indexed

About

S. Sridhar is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, S. Sridhar has authored 55 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in S. Sridhar's work include Face and Expression Recognition (5 papers), Face recognition and analysis (5 papers) and Industrial Vision Systems and Defect Detection (4 papers). S. Sridhar is often cited by papers focused on Face and Expression Recognition (5 papers), Face recognition and analysis (5 papers) and Industrial Vision Systems and Defect Detection (4 papers). S. Sridhar collaborates with scholars based in India, United States and Egypt. S. Sridhar's co-authors include S. Smys, Naresh K. Panda, N. Kumaravel, Nidhi Bansal, Jayapalli Rajiv Bapuraj, Subrata K. Das, K. S. Easwarakumar, Subrata Das, V. K. Jain and Kishore Kumar and has published in prestigious journals such as Alimentary Pharmacology & Therapeutics, British Journal of Urology and Biomedical Signal Processing and Control.

In The Last Decade

S. Sridhar

47 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
S. Sridhar	108	67	54	45	42	55	394
Zhenwei Li	22 0.2×	64 1.0×	10 0.2×	29 0.6×	35 0.8×	34	377
Mamoun Mardini	28 0.3×	47 0.7×	56 1.0×	63 1.4×	76 1.8×	39	426
Justin Chan	14 0.1×	37 0.6×	7 0.1×	25 0.6×	23 0.5×	32	390
Ariel Soares Teles	18 0.2×	52 0.8×	30 0.6×	48 1.1×	63 1.5×	65	430
Gaurav N. Pradhan	8 0.1×	61 0.9×	22 0.4×	26 0.6×	14 0.3×	39	333
Chunmei Lu	20 0.2×	89 1.3×	4 0.1×	57 1.3×	7 0.2×	36	440
Laishuan Wang	7 0.1×	29 0.4×	7 0.1×	25 0.6×	8 0.2×	32	349
Václav Zeman	6 0.1×	48 0.7×	36 0.7×	119 2.6×	26 0.6×	48	418
Patricia Ordóñez	8 0.1×	33 0.5×	4 0.1×	58 1.3×	12 0.3×	37	400
Naoya Inoue	68 0.6×	61 0.9×	48 0.9×	211 4.7×	7 0.2×	48	415

Countries citing papers authored by S. Sridhar

Since Specialization

Citations

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

Fields of papers citing papers by S. Sridhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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