Vishnu Monn Baskaran

81 total papers · 655 total citations
47 papers, 422 citations indexed

About

Vishnu Monn Baskaran is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Vishnu Monn Baskaran has authored 47 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Vishnu Monn Baskaran's work include Face and Expression Recognition (6 papers), Emotion and Mood Recognition (6 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Vishnu Monn Baskaran is often cited by papers focused on Face and Expression Recognition (6 papers), Emotion and Mood Recognition (6 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Vishnu Monn Baskaran collaborates with scholars based in Malaysia, Australia and United Kingdom. Vishnu Monn Baskaran's co-authors include Raphaël C.‐W. Phan, John See, KokSheik Wong, Anh Cat Le Ngo, Surya G. Nurzaman, Chee Pin Tan, Xin Wang, Joanne Lim, Huo-Chong Ling and Wooi-Haw Tan and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Information Sciences.

In The Last Decade

Vishnu Monn Baskaran

44 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Vishnu Monn Baskaran 211 95 88 61 56 47 422
Javier de Lope 143 0.7× 57 0.6× 139 1.6× 36 0.6× 90 1.6× 43 456
Jian Huang 151 0.7× 40 0.4× 58 0.7× 28 0.5× 39 0.7× 50 402
Liwei Zhang 222 1.1× 33 0.3× 61 0.7× 78 1.3× 83 1.5× 69 464
Ioannis Kansizoglou 177 0.8× 73 0.8× 58 0.7× 18 0.3× 21 0.4× 29 402
Ryad Chellali 231 1.1× 37 0.4× 116 1.3× 47 0.8× 58 1.0× 36 481
João Sequeira 121 0.6× 37 0.4× 116 1.3× 51 0.8× 86 1.5× 72 469
Wenju Zhou 159 0.8× 30 0.3× 111 1.3× 30 0.5× 51 0.9× 71 427
Tae‐Koo Kang 240 1.1× 95 1.0× 31 0.4× 42 0.7× 37 0.7× 48 433
Hua Gao 169 0.8× 144 1.5× 39 0.4× 33 0.5× 19 0.3× 64 487
Linqin Cai 142 0.7× 59 0.6× 166 1.9× 40 0.7× 54 1.0× 47 461

Countries citing papers authored by Vishnu Monn Baskaran

Since Specialization
Citations

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

Fields of papers citing papers by Vishnu Monn Baskaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vishnu Monn Baskaran. 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 Vishnu Monn Baskaran. The network helps show where Vishnu Monn Baskaran may publish in the future.

Co-authorship network of co-authors of Vishnu Monn Baskaran

This figure shows the co-authorship network connecting the top 25 collaborators of Vishnu Monn Baskaran. A scholar is included among the top collaborators of Vishnu Monn Baskaran 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 Vishnu Monn Baskaran. Vishnu Monn Baskaran 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