Deepak Poddar

3 papers and 139 indexed citations
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About

Deepak Poddar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Deepak Poddar has authored 3 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Automotive Engineering. Recurrent topics in Deepak Poddar’s work include Autonomous Vehicle Technology and Safety (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Deepak Poddar is often cited by papers focused on Autonomous Vehicle Technology and Safety (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Advanced Neural Network Applications (1 paper). Deepak Poddar collaborates with scholars based in United States. Deepak Poddar's co-authors include Debapriya Maji, Manu Mathew, Soyeb Nagori, Jason W. Jones and Mihir Mody 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

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.

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.

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).

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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