Anupama Ray

16 papers and 137 indexed citations i.

About

Anupama Ray is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Anupama Ray has authored 16 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Anupama Ray’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Phase-change materials and chalcogenides (3 papers). Anupama Ray is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Phase-change materials and chalcogenides (3 papers). Anupama Ray collaborates with scholars based in India, United States and Taiwan. Anupama Ray's co-authors include Ritu Garg, Prerana Mukherjee, Siddharth Krishna Kumar, H.L. Lung, Yu Zhu, Huai‐Yu Cheng, C. W. Yeh, M. BrightSky, Erh-Kun Lai and Wei-Chih Chien and has published in prestigious journals such as IBM Journal of Research and Development, NDT & E International and AI Magazine.

In The Last Decade

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

Fields of papers citing papers by Anupama Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anupama Ray

Since Specialization
Citations

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