Abhishek Das

32 papers and 13.9k indexed citations i.

About

Abhishek Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Abhishek Das has authored 32 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 7 papers in Materials Chemistry. Recurrent topics in Abhishek Das’s work include Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Machine Learning in Materials Science (6 papers). Abhishek Das is often cited by papers focused on Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Machine Learning in Materials Science (6 papers). Abhishek Das collaborates with scholars based in United States, Israel and India. Abhishek Das's co-authors include Dhruv Batra, Devi Parikh, Ramprasaath R. Selvaraju, Michael Cogswell, Ramakrishna Vedantam, Stefan Lee, Satwik Kottur, José M. F. Moura, Harsh Agrawal and Larry Zitnick and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Catalysis.

In The Last Decade

Co-authorship network of co-authors of Abhishek Das i

Fields of papers citing papers by Abhishek Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abhishek Das

Since Specialization
Citations

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