Sourav Medya

19 papers and 88 indexed citations i.

About

Sourav Medya is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sourav Medya has authored 19 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sourav Medya’s work include Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (7 papers) and Adversarial Robustness in Machine Learning (3 papers). Sourav Medya is often cited by papers focused on Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (7 papers) and Adversarial Robustness in Machine Learning (3 papers). Sourav Medya collaborates with scholars based in United States, India and Italy. Sourav Medya's co-authors include Ambuj K. Singh, Sayan Ranu, Brian Uzzi, Yu‐Wen Chen, Yi‐Chun Chen, Arlei Silva, Charų C. Aggarwal, Yang Yang, Palash Dey and Petko Bogdanov and has published in prestigious journals such as Atmospheric Environment, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Sourav Medya i

Fields of papers citing papers by Sourav Medya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sourav Medya

Since Specialization
Citations

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