Shubham Tulsiani

38 papers and 2.0k indexed citations i.

About

Shubham Tulsiani is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Shubham Tulsiani has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 12 papers in Control and Systems Engineering and 9 papers in Computational Mechanics. Recurrent topics in Shubham Tulsiani’s work include Advanced Vision and Imaging (18 papers), Human Pose and Action Recognition (12 papers) and Robot Manipulation and Learning (11 papers). Shubham Tulsiani is often cited by papers focused on Advanced Vision and Imaging (18 papers), Human Pose and Action Recognition (12 papers) and Robot Manipulation and Learning (11 papers). Shubham Tulsiani collaborates with scholars based in United States, Israel and Germany. Shubham Tulsiani's co-authors include Jitendra Malik, Alexei A. Efros, Tinghui Zhou, Abhinav Gupta, João Carreira, Abhishek Kar, Christian Häne, Leonidas Guibas, Steve Branson and Christoph Lassner and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and CaltechAUTHORS (California Institute of Technology).

In The Last Decade

Co-authorship network of co-authors of Shubham Tulsiani i

Fields of papers citing papers by Shubham Tulsiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubham Tulsiani

Since Specialization
Citations

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