Deepak Poddar

474 total citations · 1 hit paper
10 papers, 246 citations indexed

About

Deepak Poddar is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Deepak Poddar has authored 10 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Deepak Poddar's work include Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Deepak Poddar is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Deepak Poddar collaborates with scholars based in United States and India. Deepak Poddar's co-authors include Manu Mathew, Soyeb Nagori, Debapriya Maji, Mihir Mody, Hrushikesh Garud, Zoran Nikolić and Jason W. Jones and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and Electronic Imaging.

In The Last Decade

Deepak Poddar

10 papers receiving 237 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. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) profile →

Peers

Deepak Poddar
Soyeb Nagori United States
Debapriya Maji India
Qi-Chao Mao China
Mohamad Hoseyn Sigari Iran
Ralf Kaestner Switzerland
Gary Witus United States
Thomas Kalinke Germany
Tanwi Mallick United States
Vinh Dinh Nguyen South Korea
Soyeb Nagori United States
Deepak Poddar
Citations per year, relative to Deepak Poddar Deepak Poddar (= 1×) peers Soyeb Nagori

Countries citing papers authored by Deepak Poddar

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Poddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Poddar

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

All Works

10 of 10 papers shown
1.
Mody, Mihir, et al.. (2024). Efficient Fault Tolerant Architecture for Neural Network Compute. Electronic Imaging. 36(17). 113–1. 1 indexed citations
2.
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 →
3.
Mody, Mihir, et al.. (2020). Secure CNN Accelerator. 86. 1–4. 1 indexed citations
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.
Mody, Mihir, et al.. (2018). Multi-sensor fusion for Automated Driving: Selecting model and optimizing on Embedded platform. Electronic Imaging. 30(17). 256–1. 6 indexed citations
6.
Poddar, Deepak, et al.. (2017). Real time Structure from Motion for Driver Assistance System. 231–232. 1 indexed citations
7.
Mathew, Manu, et al.. (2017). Efficient object detection and classification on low power embedded systems. 233–234. 14 indexed citations
8.
9.
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
10.
Poddar, Deepak, et al.. (2012). Multichannel video software solution for an asynchronous multiprocessor system. 1–5. 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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