V. S. Malemath

42 total papers · 523 total citations
26 papers, 335 citations indexed

About

V. S. Malemath is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Safety Research. According to data from OpenAlex, V. S. Malemath has authored 26 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 5 papers in Safety Research. Recurrent topics in V. S. Malemath's work include Image Retrieval and Classification Techniques (8 papers), Handwritten Text Recognition Techniques (7 papers) and Forensic Fingerprint Detection Methods (5 papers). V. S. Malemath is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Handwritten Text Recognition Techniques (7 papers) and Forensic Fingerprint Detection Methods (5 papers). V. S. Malemath collaborates with scholars based in India and Botswana. V. S. Malemath's co-authors include Ravindra S. Hegadi, B.V. Dhandra, Mallikarjun Hangarge, P. Nagabhushan and K. Meenakshi Sundaram and has published in prestigious journals such as Frontiers in Robotics and AI, Indian Journal of Science and Technology and SN Computer Science.

In The Last Decade

V. S. Malemath

22 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
V. S. Malemath 187 65 63 57 50 26 335
Suresh N. Mali 148 0.8× 24 0.4× 19 0.3× 35 0.6× 85 1.7× 32 352
Shailendra Tiwari 149 0.8× 26 0.4× 35 0.6× 13 0.2× 129 2.6× 37 381
Vasundhara Acharya 155 0.8× 11 0.2× 44 0.7× 7 0.1× 128 2.6× 25 401
Aziz Makandar 88 0.5× 123 1.9× 32 0.5× 151 2.6× 158 3.2× 31 328
Baoru Han 188 1.0× 15 0.2× 23 0.4× 28 0.5× 61 1.2× 38 317
Lining Zhang 243 1.3× 9 0.1× 68 1.1× 22 0.4× 64 1.3× 23 332
Erdal Başaran 63 0.3× 65 1.0× 10 0.2× 67 1.2× 123 2.5× 20 307
Mohamed Yaseen Jabarulla 103 0.6× 48 0.7× 30 0.5× 10 0.2× 87 1.7× 18 354
Yuan Gao 223 1.2× 73 1.1× 35 0.6× 105 1.8× 98 2.0× 34 378
Jiarui Liu 100 0.5× 49 0.8× 19 0.3× 16 0.3× 55 1.1× 30 346

Countries citing papers authored by V. S. Malemath

Since Specialization
Citations

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

Fields of papers citing papers by V. S. Malemath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. S. Malemath

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