Rohit Babbar

14 papers and 258 indexed citations i.

About

Rohit Babbar is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Rohit Babbar has authored 14 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Rohit Babbar’s work include Text and Document Classification Technologies (9 papers), Machine Learning and Algorithms (5 papers) and Machine Learning and Data Classification (5 papers). Rohit Babbar is often cited by papers focused on Text and Document Classification Technologies (9 papers), Machine Learning and Algorithms (5 papers) and Machine Learning and Data Classification (5 papers). Rohit Babbar collaborates with scholars based in Finland, United States and Germany. Rohit Babbar's co-authors include Bernhard Schölkopf, Carlee Joe‐Wong, Mario Di Francesco, Marek Wydmuch, Krzysztof Dembczyński, Andreas Fritsche, Róbert Wágner, Martin Heni, Massih-Reza Amini and Éric Gaussier and has published in prestigious journals such as Machine Learning, Frontiers in Endocrinology and Aaltodoc (Aalto University).

In The Last Decade

Co-authorship network of co-authors of Rohit Babbar i

Fields of papers citing papers by Rohit Babbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rohit Babbar

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025