Debajyoti Datta

5 papers and 23 indexed citations i.

About

Debajyoti Datta is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Debajyoti Datta has authored 5 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Epidemiology. Recurrent topics in Debajyoti Datta’s work include Biomedical Text Mining and Ontologies (2 papers), Machine Learning in Healthcare (2 papers) and Health Literacy and Information Accessibility (2 papers). Debajyoti Datta is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Machine Learning in Healthcare (2 papers) and Health Literacy and Information Accessibility (2 papers). Debajyoti Datta collaborates with scholars based in United States, Austria and Germany. Debajyoti Datta's co-authors include Mehdi Boukhechba, Laura E. Barnes, Gloria Arroyo, Nicholas P. Tatonetti, Kristen J. Wells, Benjamin S. Glicksberg, Vivek A. Rudrapatna, Boris Oskotsky, Phyllis Thangaraj and Janna R. Gordon and has published in prestigious journals such as Cancer Research, JAMIA Open and Europe PMC (PubMed Central).

In The Last Decade

Co-authorship network of co-authors of Debajyoti Datta i

Fields of papers citing papers by Debajyoti Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Debajyoti Datta

Since Specialization
Citations

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