Aditya Deshpande

About

Aditya Deshpande is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Artificial Intelligence. According to data from OpenAlex, Aditya Deshpande has authored 19 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Artificial Intelligence. Recurrent topics in Aditya Deshpande’s work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Cancer Genomics and Diagnostics (3 papers). Aditya Deshpande is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Cancer Genomics and Diagnostics (3 papers). Aditya Deshpande collaborates with scholars based in United States, India and Japan. Aditya Deshpande's co-authors include Jyoti Aneja, Alexander G. Schwing, David Forsyth, Liwei Wang, Wellington V. Cardoso, Paola Sebastiani, Arjun Guha, Elizabeth Geelhoed, Helen Leonard and Ami Bebbington and has published in prestigious journals such as Nature Genetics, Nature Communications and Blood.

In The Last Decade

Co-authorship network of co-authors of Aditya Deshpande i

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Fields of papers citing papers by Aditya Deshpande

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aditya Deshpande

Since Specialization

Citations

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