Minesh Mathew
Impact in
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- Handwritten Text Recognition Techniques
- Multimodal Machine Learning Applications
- Image Processing and 3D Reconstruction
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 10
- Video Analysis and Summarization 3
- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 2
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- Natural Language Processing Techniques 8
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- C. V. Jawahar (13 shared papers)Dìmosthenis Karatzas (4 shared papers)Praveen Krishnan (4 shared papers)Kartik Dutta (4 shared papers)Mohit Jain (3 shared papers)Ajeet Kumar Singh (1 shared paper)Ernest Valveny (1 shared paper)Marçal Rusiñol (1 shared paper)
- Journals
- 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- India
In The Last Decade
Minesh Mathew
13 papers receiving 415 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 372
- Media Technology 110
- Artificial Intelligence 219
- Human-Computer Interaction 30
- Health Informatics 4
Countries citing papers authored by Minesh Mathew
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
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-authors
The 9 scholars most cited alongside Minesh Mathew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 136 | |
| 2 | 2018 | 87 | |
| 3 | 2022 | 43 | |
| 4 | 2018 | 31 | |
| 5 | 2017 | 30 | |
| 6 | 2016 | 25 | |
| 7 | 2017 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 16 | |
| 10 | 2018 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2023 | 3 | |
| 13 | 2017 | 2 |
About Minesh Mathew
Minesh Mathew is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Human-Computer Interaction and Infectious Diseases, having authored 13 papers that have together received 440 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (10 papers), Natural Language Processing Techniques (8 papers), Vehicle License Plate Recognition (4 papers), Hand Gesture Recognition Systems (3 papers), Video Analysis and Summarization (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (372 citations), Media Technology (110 citations), Artificial Intelligence (219 citations), Human-Computer Interaction (30 citations) and Health Informatics (4 citations). Minesh Mathew has collaborated with scholars based in India. Frequent co-authors include C. V. Jawahar, Dìmosthenis Karatzas, Praveen Krishnan, Kartik Dutta, Mohit Jain, Ajeet Kumar Singh, Ernest Valveny, Marçal Rusiñol and Lluís Gómez. Their work appears in journals such as 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.