Sagar Sen

79 papers and 605 indexed citations i.

About

Sagar Sen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Sagar Sen has authored 79 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 21 papers in Numerical Analysis. Recurrent topics in Sagar Sen’s work include Advanced Optimization Algorithms Research (16 papers), Matrix Theory and Algorithms (15 papers) and Numerical Methods and Algorithms (15 papers). Sagar Sen is often cited by papers focused on Advanced Optimization Algorithms Research (16 papers), Matrix Theory and Algorithms (15 papers) and Numerical Methods and Algorithms (15 papers). Sagar Sen collaborates with scholars based in Norway, United States and India. Sagar Sen's co-authors include Benoît Baudry, Gilles Perrouin, Yves Le Traon, Jacques Klein, Ravi P. Agarwal, V. Lakshmikantham, S. Prabhu, Phu H. Nguyen, Sebastian Oster and Mari Nygård and has published in prestigious journals such as ACM Computing Surveys, Journal of Mathematical Analysis and Applications and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Co-authorship network of co-authors of Sagar Sen i

Fields of papers citing papers by Sagar Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sagar Sen

Since Specialization
Citations

This map shows the geographic impact of Sagar Sen'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 Sagar Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagar Sen 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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2025