Manu Mathew

730 total citations · 1 hit paper
34 papers, 375 citations indexed

About

Manu Mathew is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Manu Mathew has authored 34 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Manu Mathew's work include Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Manu Mathew is often cited by papers focused on Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Manu Mathew collaborates with scholars based in India, United States and Bangladesh. Manu Mathew's co-authors include Soyeb Nagori, Deepak Poddar, Debapriya Maji, Mihir Mody, Hrushikesh Garud, Arun Ramachandran, Vasily Tarasov, Hannah Thomas, Erez Zadok and Philip Joseph and has published in prestigious journals such as Applied Sciences, The Journal of Laryngology & Otology and Physica Medica.

In The Last Decade

Manu Mathew

31 papers receiving 361 citations

Hit Papers

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimatio... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
    2022 192 citations Debapriya Maji, Soyeb Nagori et al. profile →

Peers

Manu Mathew
Baljit Singh Saini India
Bekir Aksoy Türkiye
Josef Pauli Germany
Abdullah Al Mamun Bangladesh
Qujiang Lei China
Jun-Yan He China
Luciano Oliveira Brazil
Lei Song China
Jung-In Choi South Korea
Baljit Singh Saini India
Manu Mathew
Citations per year, relative to Manu Mathew Manu Mathew (= 1×) peers Baljit Singh Saini

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-authorship network of co-authors of Manu Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Manu Mathew. A scholar is included among the top collaborators of Manu 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 Manu Mathew. Manu Mathew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mathew, Manu, et al.. (2024). Prune Efficiently by Soft Pruning. 2210–2217.
2.
Riju, Jeyashanth, Mahasampath Gowri, Lisa Abraham, et al.. (2024). A matched pair analysis of outcomes after stapler-assisted pharyngeal closure following laryngectomy. The Journal of Laryngology & Otology. 139(1). 78–84. 1 indexed citations
3.
Mathew, Manu, et al.. (2023). Patient reported outcome measures correlate with step-count in total hip arthroplasty. Technology and Health Care. 32(5). 3727–3736. 2 indexed citations
4.
Mathew, Manu, et al.. (2023). OpTIFlow – An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs. Electronic Imaging. 35(16). 113. 1 indexed citations
5.
Thomas, Hannah, Ellen M. Donovan, C. South, et al.. (2023). Reproducibility in Radiomics: A Comparison of Feature Extraction Methods and Two Independent Datasets. Applied Sciences. 13(12). 7291–7291. 9 indexed citations
6.
Wee, Leonard, André Dekker, Frank Hoebers, et al.. (2023). Multi-centre radiomics for prediction of recurrence following radical radiotherapy for head and neck cancers: Consequences of feature selection, machine learning classifiers and batch-effect harmonization. Physics and Imaging in Radiation Oncology. 26. 100450–100450. 5 indexed citations
7.
8.
Bowen, Stephen R., et al.. (2021). Framework for Machine Learning of CT and PET Radiomics to Predict Local Failure after Radiotherapy in Locally Advanced Head and Neck Cancers. Journal of Medical Physics. 46(3). 181–188. 11 indexed citations
9.
Riju, Jeyashanth, et al.. (2021). Analysis of Early Impact of COVID-19 on Presentation and Management of Oral Cancers – an Experience from a Tertiary Care Hospital in South India. Indian Journal of Surgical Oncology. 12(S2). 242–249. 11 indexed citations
10.
Mathew, Manu, et al.. (2020). Patterns of Recurrence in Locally Advanced Resectable Oesophageal Carcinoma: Retrospective Review from a Tertiary Cancer Centre in South India. Journal of Gastrointestinal Cancer. 52(2). 711–718. 1 indexed citations
11.
Mathew, Manu, et al.. (2019). A rationale for cone beam CT with extended longitudinal field-of-view in image guided adaptive radiotherapy. Physica Medica. 62. 129–139. 7 indexed citations
12.
Poddar, Deepak, Soyeb Nagori, Manu Mathew, Debapriya Maji, & Hrushikesh Garud. (2019). Deep Learning based Parking Spot Detection and Classification in Fish-Eye Images. 1–5. 4 indexed citations
13.
Nagori, Soyeb, et al.. (2018). End to End Learning based Self-Driving using JacintoNet. 1–4. 15 indexed citations
14.
Mathew, Manu, et al.. (2017). Sparse, Quantized, Full Frame CNN for Low Power Embedded Devices. 328–336. 23 indexed citations
15.
Poddar, Deepak, et al.. (2017). Real time Structure from Motion for Driver Assistance System. 231–232. 1 indexed citations
16.
Mody, Mihir, et al.. (2017). Efficient Pre-Processor for CNN. Electronic Imaging. 29(19). 50–53. 2 indexed citations
17.
Mody, Mihir, et al.. (2017). CNN inference: VLSI architecture for convolution layer for 1.2 TOPS. 158–162. 3 indexed citations
18.
Samanta, Santanu, et al.. (2016). Current Role of Magnetic Resonance Imaging in Evaluation and Radiotherapy in Locally Advanced Carcinoma Cervix. Indian Journal of Gynecologic Oncology. 14(2). 1 indexed citations
19.
Mody, Mihir, Deepak Poddar, Zoran Nikolić, et al.. (2015). High Performance Front Camera ADAS Applications on TI's TDA3X Platform. 456–463. 13 indexed citations
20.
Mathew, Manu, et al.. (2015). Automatic Gas Stove with Advanced Safety Features. International Journal of Recent Contributions from Engineering Science & IT (iJES). 3(2). 35–35. 1 indexed citations

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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