Srinivas Gutta

42 total papers · 898 total citations
23 papers, 481 citations indexed

About

Srinivas Gutta is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Srinivas Gutta has authored 23 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Srinivas Gutta's work include Face and Expression Recognition (15 papers), Face recognition and analysis (11 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Srinivas Gutta is often cited by papers focused on Face and Expression Recognition (15 papers), Face recognition and analysis (11 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Srinivas Gutta collaborates with scholars based in United States, Finland and India. Srinivas Gutta's co-authors include Harry Wechsler, P. Jonathon Phillips, Jeffrey Huang, V. Philomin, Barnabás Takács, Haikun Huang, Imran Shah, Jacquelyn Martino, John Zimmerman and Jeffrey Huang and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Srinivas Gutta

22 papers receiving 439 citations

Author Peers

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

Author						Papers	Cites
Srinivas Gutta	369	138	92	35	22	23	481
Ben Zhang	241 0.7×	114 0.8×	80 0.9×	95 2.7×	24 1.1×	27	539
Fabien Cardinaux	308 0.8×	137 1.0×	100 1.1×	19 0.5×	21 1.0×	29	439
Youtian Du	233 0.6×	115 0.8×	117 1.3×	117 3.3×	38 1.7×	37	430
Zhan Wang	283 0.8×	40 0.3×	140 1.5×	38 1.1×	19 0.9×	37	458
Maneet Singh	312 0.8×	194 1.4×	56 0.6×	57 1.6×	15 0.7×	26	414
Alexandre R. J. François	381 1.0×	82 0.6×	76 0.8×	9 0.3×	12 0.5×	29	451
Liang-Hua Chen	363 1.0×	73 0.5×	87 0.9×	21 0.6×	10 0.5×	30	411
Amit Das	186 0.5×	109 0.8×	231 2.5×	16 0.5×	12 0.5×	49	461
Qin Ni	275 0.7×	47 0.3×	126 1.4×	23 0.7×	62 2.8×	25	465
Christopher Wren	380 1.0×	52 0.4×	76 0.8×	38 1.1×	33 1.5×	15	488

Countries citing papers authored by Srinivas Gutta

Since Specialization

Citations

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

Fields of papers citing papers by Srinivas Gutta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Gutta

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