Minesh Mathew

40 total papers · 1.1k total citations
13 papers, 425 citations indexed

About

Minesh Mathew is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Minesh Mathew has authored 13 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Minesh Mathew's work include Handwritten Text Recognition Techniques (10 papers), Natural Language Processing Techniques (8 papers) and Vehicle License Plate Recognition (4 papers). Minesh Mathew is often cited by papers focused on Handwritten Text Recognition Techniques (10 papers), Natural Language Processing Techniques (8 papers) and Vehicle License Plate Recognition (4 papers). Minesh Mathew collaborates with scholars based in India. Minesh Mathew's co-authors include C. V. Jawahar, Dìmosthenis Karatzas, Kartik Dutta, Praveen Krishnan, Mohit Jain, Ajeet Kumar Singh, Ernest Valveny, Marçal Rusiñol and Lluís Gómez and has published in prestigious journals such as 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Minesh Mathew

13 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Minesh Mathew 362 215 108 29 18 13 425
Praveen Krishnan 309 0.9× 171 0.8× 76 0.7× 40 1.4× 10 0.6× 22 399
R. Legault 388 1.1× 204 0.9× 83 0.8× 26 0.9× 12 0.7× 6 450
C. Nadal 428 1.2× 218 1.0× 104 1.0× 30 1.0× 11 0.6× 7 487
Ameur Benséfia 375 1.0× 146 0.7× 145 1.3× 46 1.6× 42 2.3× 21 442
Wei Zhou 238 0.7× 144 0.7× 147 1.4× 7 0.2× 21 1.2× 11 371
Fan Bai 329 0.9× 94 0.4× 93 0.9× 17 0.6× 10 0.6× 19 379
Ayan Kumar Bhunia 314 0.9× 99 0.5× 130 1.2× 28 1.0× 8 0.4× 17 386
Zenghui Sun 380 1.0× 107 0.5× 171 1.6× 16 0.6× 8 0.4× 7 423
Yunlu Xu 319 0.9× 185 0.9× 67 0.6× 7 0.2× 18 1.0× 13 367
Samia Snoussi Maddouri 398 1.1× 222 1.0× 133 1.2× 44 1.5× 9 0.5× 13 415

Countries citing papers authored by Minesh Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Minesh Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minesh Mathew

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