Nirmalya Chowdhury

24 papers and 337 indexed citations i.

About

Nirmalya Chowdhury is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Nirmalya Chowdhury has authored 24 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Nirmalya Chowdhury’s work include Data Management and Algorithms (3 papers), Neural Networks and Applications (2 papers) and Metabolic Engineering and Synthetic Biology (2 papers). Nirmalya Chowdhury is often cited by papers focused on Data Management and Algorithms (3 papers), Neural Networks and Applications (2 papers) and Metabolic Engineering and Synthetic Biology (2 papers). Nirmalya Chowdhury collaborates with scholars based in India, United States and Japan. Nirmalya Chowdhury's co-authors include C.A. Murthy, Rajat K. De, Sushil K. Mahata, Keya Bandyopadhyay, Gautam Bandyopadhyay, Indrani Ray, Somnath Tagore, Anindya Bhattacharya, Debashis Saha and Lian Zhao and has published in prestigious journals such as Gene, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Nirmalya Chowdhury i

Fields of papers citing papers by Nirmalya Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nirmalya Chowdhury

Since Specialization
Citations

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