Debapriya Maji

704 citations
5 papers · 254 indexed · 1 hit paper · h-index 3
Topics
Retinal Imaging and Analysis (1 paper)Tuberculosis Research and Epidemiology (1 paper)Smart Parking Systems Research (1 paper)
Journals
Monaldi Archives for Chest DiseasePubMed2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Partner nations
IndiaUnited States

In The Last Decade

Debapriya Maji

5 papers receiving 243 citations

Hit Papers

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimatio...2022202620232024202250100150

Peers

Debapriya Maji
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 135
  • Radiology, Nuclear Medicine and Imaging 51
  • Biomedical Engineering 42
  • Artificial Intelligence 41
  • Ophthalmology 35
Replace Muthukumaran Malarvel with:
Muthukumaran Malarvel India
Fabián Seguel Chile
David Joseph Tan Germany
Christophe Chaillou France
Jiapeng Tang China
Deepak Poddar United States
David V. Gealy United States
Ryo Hachiuma Japan
Ashley Varghese India
Debapriya Maji relative to Muthukumaran Malarvel India Muthukumaran Malarvel's profile →
Citations per field
00.5×1.5×2.5×
Muthukumaran Malarvel · 1×
Citations per year

Countries citing papers authored by Debapriya Maji

Since Specialization
Citations

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

Fields of papers citing papers by Debapriya Maji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debapriya Maji

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 1
2 2
3
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Lossbreakdown →
192
4 4
5 55

About Debapriya Maji

Debapriya Maji is a scholar working on Media Technology, Ophthalmology and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 254 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Smart Parking Systems Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Human-Computer Interaction (30 citations) and Ophthalmology (35 citations). Debapriya Maji has collaborated with scholars based in India and United States. Frequent co-authors include Manu Mathew, Soyeb Nagori, Deepak Poddar, Pabitra Mitra, Anirban Santara, Debdoot Sheet and Hrushikesh Garud. Their work appears in journals such as Monaldi Archives for Chest Disease, PubMed and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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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