Manu Mathew

761 citations
32 papers · 397 · 1 hit paper · h-index 11

Impact in

Papers in

Manu Mathew

30 papers receiving 382 citations

Manu Mathew's Hit Papers

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss 2022 · 208 citations
2080+1+2Years since publication50100150200

Peers

Manu Mathew
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 196
  • Human-Computer Interaction 32
  • Automotive Engineering 45
  • Media Technology 22
  • Health Informatics 3
Replace Asaad Algarni with:
Asaad Algarni Saudi Arabia
Qujiang Lei China
Baljit Singh Saini India
Huailin Zhao China
Josef Pauli Germany
Fakhreddine Ababsa France
Qingtian Wu China
Yunwang Li China
Wenqi Wu China
Bekir Aksoy Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Manu Mathew

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Manu Mathew Line = papers co-authored together Manu Mathew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 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 →
2022208
2 201724
3 201817
4 201914
5 201714
6 201513
7 201613
8 202111
9 202111
10 201611
11 202310
12 20197
13 20236
14 20186
15 20195
16 20184
17 20173
18 20243
19 20183
20 20182

About Manu Mathew

Manu Mathew is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Surgery, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 397 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 (3 papers), Video Surveillance and Tracking Methods (3 papers), Head and Neck Cancer Studies (2 papers), Vehicle License Plate Recognition (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Human-Computer Interaction (32 citations), Automotive Engineering (45 citations), Media Technology (22 citations) and Health Informatics (3 citations). Manu Mathew has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Soyeb Nagori, Deepak Poddar, Debapriya Maji, Mihir Mody, Hrushikesh Garud, Arun Ramachandran, Hannah Thomas, Vasily Tarasov, Erez Zadok and Jeyashanth Riju. Their work appears in journals such as ACM Transactions on Storage, Applied Sciences, The Journal of Laryngology & Otology, Physics and Imaging in Radiation Oncology and Physica Medica.

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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