Dipankar Das

69 papers and 467 indexed citations i.

About

Dipankar Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dipankar Das has authored 69 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Dipankar Das’s work include Topic Modeling (30 papers), Natural Language Processing Techniques (23 papers) and Sentiment Analysis and Opinion Mining (22 papers). Dipankar Das is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (23 papers) and Sentiment Analysis and Opinion Mining (22 papers). Dipankar Das collaborates with scholars based in India, United States and Mexico. Dipankar Das's co-authors include Sivaji Bandyopadhyay, Alexander Gelbukh, Soujanya Poria, Amir Hussain, Newton Howard, Braja Gopal Patra, Tanmoy Chakraborty, Erik Cambria, Avishek Garain and Partha Pakray and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Information Processing & Management and IEEE Intelligent Systems.

In The Last Decade

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

Fields of papers citing papers by Dipankar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dipankar Das

Since Specialization
Citations

This map shows the geographic impact of Dipankar 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 Dipankar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipankar 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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2025