Debapriyo Majumdar

7 papers and 148 indexed citations i.

About

Debapriyo Majumdar is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Debapriyo Majumdar has authored 7 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Debapriyo Majumdar’s work include Data Management and Algorithms (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Semantic Web and Ontologies (2 papers). Debapriyo Majumdar is often cited by papers focused on Data Management and Algorithms (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Semantic Web and Ontologies (2 papers). Debapriyo Majumdar collaborates with scholars based in Germany and United States. Debapriyo Majumdar's co-authors include Prasenjit Mitra, Sumit Bhatia, Gerhard Weikum, Holger Bast, Ralf Schenkel, Martin Theobald, Sambuddha Roy, Zvi Lotker, Rohit Lotlikar and Gyana R. Parija and has published in prestigious journals such as Lecture notes in computer science, The VLDB Journal and Very Large Data Bases.

In The Last Decade

Co-authorship network of co-authors of Debapriyo Majumdar i

Fields of papers citing papers by Debapriyo Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Debapriyo Majumdar

Since Specialization
Citations

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