Manu Mathew
Impact in
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Neural Network Applications 9
- Video Surveillance and Tracking Methods 3
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- CCD and CMOS Imaging Sensors 6
- Co-authors
- Soyeb Nagori (11 shared papers)Deepak Poddar (6 shared papers)Debapriya Maji (3 shared papers)Mihir Mody (10 shared papers)Hrushikesh Garud (3 shared papers)Hannah Thomas (3 shared papers)Vasily Tarasov (1 shared paper)Arun Ramachandran (1 shared paper)
- Journals
- ACM Transactions on Storage (1 paper)Intelligent Systems with Applications (1 paper)Physics and Imaging in Radiation Oncology (1 paper)Intelligence-Based Medicine (1 paper)Applied Sciences (1 paper)
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Manu Mathew
31 papers receiving 361 citations
Manu Mathew's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 186
- Human-Computer Interaction 31
- Health Informatics 5
- Automotive Engineering 42
- Otorhinolaryngology 12
Countries citing papers authored by Manu Mathew
This map shows the geographic impact of Manu 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 Manu Mathew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manu Mathew more than expected).
Fields of papers citing papers by Manu Mathew
This network shows the impact of papers produced by Manu 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 Manu Mathew. The network helps show where Manu Mathew may publish in the future.
Co-authors
The 25 scholars most cited alongside Manu 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss Hit paper breakdown → | 2022 | 192 |
| 2 | 2017 | 23 | |
| 3 | 2018 | 15 | |
| 4 | 2017 | 14 | |
| 5 | 2015 | 13 | |
| 6 | 2019 | 13 | |
| 7 | 2016 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2023 | 2 |
About Manu Mathew
Manu Mathew is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 34 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (6 papers), Autonomous Vehicle Technology and Safety (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (3 papers), Head and Neck Cancer Studies (3 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Human-Computer Interaction (31 citations), Health Informatics (5 citations), Automotive Engineering (42 citations) and Otorhinolaryngology (12 citations). Manu Mathew has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Soyeb Nagori, Deepak Poddar, Debapriya Maji, Mihir Mody, Hrushikesh Garud, Hannah Thomas, Vasily Tarasov, Arun Ramachandran, Erez Zadok and Aparna Irodi. Their work appears in journals such as ACM Transactions on Storage, Intelligent Systems with Applications, Physics and Imaging in Radiation Oncology, Intelligence-Based Medicine and Applied Sciences.
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.