Rishab Goel

About

Rishab Goel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rishab Goel has authored 4 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rishab Goel’s work include Advanced Graph Neural Networks (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (1 paper). Rishab Goel is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (1 paper). Rishab Goel collaborates with scholars based in United States, India and Austria. Rishab Goel's co-authors include Pascal Poupart, Seyed Mehran Kazemi, Marcus A. Brubaker, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Huaijin Chen, Ankit Patel, Rhonald C. Lua and Ashok Veeraraghavan and has published in prestigious journals such as IEEE Transactions on Computational Imaging, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Rishab Goel i

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Fields of papers citing papers by Rishab Goel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rishab Goel

Since Specialization

Citations

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