Pushkar Shukla

About

Pushkar Shukla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Pushkar Shukla has authored 5 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Pushkar Shukla’s work include Topic Modeling (2 papers), Advanced Neural Network Applications (1 paper) and Gesture Recognition in Human-Computer Interaction (1 paper). Pushkar Shukla is often cited by papers focused on Topic Modeling (2 papers), Advanced Neural Network Applications (1 paper) and Gesture Recognition in Human-Computer Interaction (1 paper). Pushkar Shukla collaborates with scholars based in United States, India and Switzerland. Pushkar Shukla's co-authors include Ankush Mittal, Bhumika Gupta, Balasubramanian Raman, Matthew Turk, Deepak Verma, Vivek Kulkarni, Matthew Turk, William Yang Wang, Kartik Talamadupula and Pavan Kapanipathi and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Pushkar Shukla i

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Fields of papers citing papers by Pushkar Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pushkar Shukla

Since Specialization

Citations

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