Prasenjit Das

15 papers and 177 indexed citations i.

About

Prasenjit Das is a scholar working on Artificial Intelligence, Geochemistry and Petrology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prasenjit Das has authored 15 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Geochemistry and Petrology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prasenjit Das’s work include Groundwater and Isotope Geochemistry (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Geochemistry and Geologic Mapping (2 papers). Prasenjit Das is often cited by papers focused on Groundwater and Isotope Geochemistry (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Geochemistry and Geologic Mapping (2 papers). Prasenjit Das collaborates with scholars based in India. Prasenjit Das's co-authors include K. Maya, D. Padmalal, Deepika Koundal, Chetan Sharma, Nirmalya Kar, Baby Bhattacharya, Abhishek Kumar, Anirban Mitra, K. Sreelash and Sudipta Roy and has published in prestigious journals such as Earth-Science Reviews, Geothermics and Journal of the Geological Society of India.

In The Last Decade

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

Fields of papers citing papers by Prasenjit Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prasenjit Das

Since Specialization
Citations

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