Suprio Ray

41 papers and 344 indexed citations i.

About

Suprio Ray is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Suprio Ray has authored 41 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 20 papers in Computer Networks and Communications and 18 papers in Artificial Intelligence. Recurrent topics in Suprio Ray’s work include Data Management and Algorithms (17 papers), Advanced Database Systems and Queries (12 papers) and Privacy-Preserving Technologies in Data (11 papers). Suprio Ray is often cited by papers focused on Data Management and Algorithms (17 papers), Advanced Database Systems and Queries (12 papers) and Privacy-Preserving Technologies in Data (11 papers). Suprio Ray collaborates with scholars based in Canada, China and India. Suprio Ray's co-authors include Rongxing Lu, Sajjad Dadkhah, Songnian Zhang, Pulei Xiong, Euclides Carlos Pinto Neto, Jun Shao, Yandong Zheng, Yunguo Guan, Barjinder Kaur and Ali A. Ghorbani and has published in prestigious journals such as ACM Computing Surveys, IEEE Internet of Things Journal and Computer.

In The Last Decade

Co-authorship network of co-authors of Suprio Ray i

Fields of papers citing papers by Suprio Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suprio Ray

Since Specialization
Citations

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