K. V. Suresh

50 total papers · 536 total citations
33 papers, 370 citations indexed

About

K. V. Suresh is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K. V. Suresh has authored 33 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K. V. Suresh's work include Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (8 papers) and Image Processing Techniques and Applications (7 papers). K. V. Suresh is often cited by papers focused on Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (8 papers) and Image Processing Techniques and Applications (7 papers). K. V. Suresh collaborates with scholars based in India, United States and Russia. K. V. Suresh's co-authors include Deepaknath Tandur, A. N. Rajagopalan, Sangly P. Srinivas, Rachapalle Reddi Sudhir, Asha Gowda Karegowda, V. Masilamani, R. Dinesh, Bangalore Ravi Kiran, Sudhir H. Ranganath and C. Anupama and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Journal of the Optical Society of America A.

In The Last Decade

K. V. Suresh

32 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
K. V. Suresh 317 106 57 34 29 33 370
Waleed A. Mahmoud Al‐Jawher 177 0.6× 26 0.2× 71 1.2× 10 0.3× 52 1.8× 48 351
Salahuddin Unar 369 1.2× 68 0.6× 56 1.0× 39 1.1× 9 0.3× 23 435
Yongfei Wu 258 0.8× 38 0.4× 55 1.0× 18 0.5× 36 1.2× 30 359
Nijad Al-Najdawi 316 1.0× 66 0.6× 124 2.2× 16 0.5× 43 1.5× 28 434
Hazem Hiary 163 0.5× 27 0.3× 84 1.5× 32 0.9× 26 0.9× 29 360
Shailendra Tiwari 149 0.5× 35 0.3× 129 2.3× 10 0.3× 117 4.0× 37 381
Xiaoli Ruan 87 0.3× 71 0.7× 52 0.9× 16 0.5× 25 0.9× 18 377
Heba M. El‐Hoseny 255 0.8× 180 1.7× 60 1.1× 4 0.1× 96 3.3× 24 407
Tao Wang 328 1.0× 76 0.7× 73 1.3× 5 0.1× 44 1.5× 33 441
Jinlong Shi 249 0.8× 42 0.4× 65 1.1× 9 0.3× 12 0.4× 48 381

Countries citing papers authored by K. V. Suresh

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Suresh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Suresh. 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 K. V. Suresh. The network helps show where K. V. Suresh may publish in the future.

Co-authorship network of co-authors of K. V. Suresh

This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Suresh. A scholar is included among the top collaborators of K. V. Suresh 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 K. V. Suresh. K. V. Suresh 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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2026