Debapriya Maji

704 total citations · 1 hit paper
5 papers, 254 citations indexed

About

Debapriya Maji is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases and Surgery. According to data from OpenAlex, Debapriya Maji has authored 5 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Debapriya Maji's work include Retinal Imaging and Analysis (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Smart Parking Systems Research (1 paper). Debapriya Maji is often cited by papers focused on Retinal Imaging and Analysis (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Smart Parking Systems Research (1 paper). Debapriya Maji collaborates with scholars based in India and United States. Debapriya Maji's co-authors include Deepak Poddar, Soyeb Nagori, Manu Mathew, Pabitra Mitra, Anirban Santara, Debdoot Sheet and Hrushikesh Garud and has published in prestigious journals such as Monaldi Archives for Chest Disease, PubMed and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Debapriya Maji

5 papers receiving 243 citations

Hit Papers

1 papers align trajectories

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.

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss

2022 192 citations Debapriya Maji, Soyeb Nagori et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Debapriya Maji India	3	135	51	42	41	35	5	254
Fabián Seguel Chile	11	24 0.2×	17 0.3×	21 0.5×	14 0.3×	19 0.5×	34	385
Muthukumaran Malarvel India	8	82 0.6×	48 0.9×	20 0.5×	26 0.6×	20 0.6×	27	278
Christophe Chaillou France	10	97 0.7×	8 0.2×	59 1.4×	7 0.2×	7 0.2×	33	274
Jiapeng Tang China	8	214 1.6×	8 0.2×	16 0.4×	14 0.3×	3 0.1×	17	350
David Joseph Tan Germany	11	254 1.9×	9 0.2×	27 0.6×	9 0.2×	9 0.3×	17	347
C S Asha India	10	186 1.4×	32 0.6×	27 0.6×	20 0.5×	1 0.0×	26	294
Deepak Poddar United States	5	135 1.0×	4 0.1×	44 1.0×	41 1.0×		10	246
Shilong Zhou China	9	57 0.4×	11 0.2×	20 0.5×	39 1.0×	1 0.0×	27	254
Rui‐Yang Ju Taiwan	6	57 0.4×	40 0.8×	47 1.1×	20 0.5×	2 0.1×	12	191
Ryo Hachiuma Japan	8	113 0.8×	2 0.0×	38 0.9×	55 1.3×	5 0.1×	33	179

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

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Maji, Debapriya, et al.. (2024). YOLO-6D-Pose: Enhancing YOLO for Single-Stage Monocular Multi-Object 6D Pose Estimation. 1616–1625. 1 indexed citations

2.

Maji, Debapriya, et al.. (2022). Clinicodemographic profile and outcome of tuberculosis treatment in TB-HIV co-infected patients receiving daily ATT under a single window TB/HIV services delivery initiative. Monaldi Archives for Chest Disease. 93(3). 2 indexed citations

3.

Maji, Debapriya, Soyeb Nagori, Manu Mathew, & Deepak Poddar. (2022). YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2636–2645. 192 indexed citations breakdown →

4.

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

5.

Maji, Debapriya, et al.. (2015). Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. PubMed. 2015. 3029–3032. 55 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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