Amit Surana

About

Amit Surana is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Amit Surana has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Statistical and Nonlinear Physics and 9 papers in Computational Mechanics. Recurrent topics in Amit Surana’s work include Model Reduction and Neural Networks (6 papers), Tensor decomposition and applications (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Amit Surana is often cited by papers focused on Model Reduction and Neural Networks (6 papers), Tensor decomposition and applications (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Amit Surana collaborates with scholars based in United States, Ireland and Switzerland. Amit Surana's co-authors include Soundar Kumara, Mark Greaves, Usha Nandini Raghavan, George Haller, Andrzej Banaszuk, Darren Crowdy, Satish Narayanan, Varick L. Erickson, Michael D. Sohn and Alberto Cerpa and has published in prestigious journals such as Nature Communications, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Amit Surana i

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Fields of papers citing papers by Amit Surana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amit Surana

Since Specialization

Citations

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