Kailasa Pandarinath

44 papers and 688 indexed citations i.

About

Kailasa Pandarinath is a scholar working on Artificial Intelligence, Geophysics and Atmospheric Science. According to data from OpenAlex, Kailasa Pandarinath has authored 44 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Geophysics and 9 papers in Atmospheric Science. Recurrent topics in Kailasa Pandarinath’s work include Geochemistry and Geologic Mapping (25 papers), Geological and Geochemical Analysis (23 papers) and earthquake and tectonic studies (10 papers). Kailasa Pandarinath is often cited by papers focused on Geochemistry and Geologic Mapping (25 papers), Geological and Geochemical Analysis (23 papers) and earthquake and tectonic studies (10 papers). Kailasa Pandarinath collaborates with scholars based in Mexico, India and Brazil. Kailasa Pandarinath's co-authors include Surendra P. Verma, Sanjeet K. Verma, E. Santoyo, Ignacio S. Torres-Alvarado, Salil Agrawal, Eduardo Gonzáléz-Partida, A. C. Narayana, Peter Dulski, Sushma Prasad and Lorena Díaz‐González and has published in prestigious journals such as Analytica Chimica Acta, Lithos and Geomorphology.

In The Last Decade

Co-authorship network of co-authors of Kailasa Pandarinath i

Fields of papers citing papers by Kailasa Pandarinath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kailasa Pandarinath

Since Specialization
Citations

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