Shubhendu Trivedi

About

Shubhendu Trivedi is a scholar working on Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shubhendu Trivedi has authored 8 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Materials Chemistry, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shubhendu Trivedi’s work include Machine Learning in Materials Science (2 papers), Mathematical Analysis and Transform Methods (2 papers) and Advanced Graph Neural Networks (1 paper). Shubhendu Trivedi is often cited by papers focused on Machine Learning in Materials Science (2 papers), Mathematical Analysis and Transform Methods (2 papers) and Advanced Graph Neural Networks (1 paper). Shubhendu Trivedi collaborates with scholars based in United States and Japan. Shubhendu Trivedi's co-authors include Risi Kondor, Zhen Lin, Joshua Lequieu, Brandon Anderson, Kyle Swanson, Greg Shakhnarovich, David McAllester, Dimple Bhatia, Moses Donkor and Vincent O’Neill and has published in prestigious journals such as The Journal of Chemical Physics, Soft Matter and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Shubhendu Trivedi i

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Fields of papers citing papers by Shubhendu Trivedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubhendu Trivedi

Since Specialization

Citations

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