Inkit Padhi

17 papers and 698 indexed citations i.

About

Inkit Padhi is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Inkit Padhi has authored 17 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Inkit Padhi’s work include Topic Modeling (7 papers), Computational Drug Discovery Methods (3 papers) and Natural Language Processing Techniques (3 papers). Inkit Padhi is often cited by papers focused on Topic Modeling (7 papers), Computational Drug Discovery Methods (3 papers) and Natural Language Processing Techniques (3 papers). Inkit Padhi collaborates with scholars based in United States, Singapore and The Netherlands. Inkit Padhi's co-authors include Kevin Knight, Xing Shi, Payel Das, Vijil Chenthamarakshan, Youssef Mroueh, Igor Melnyk, Jerret Ross, Brian Belgodere, Cícero Nogueira dos Santos and Hendrik Strobelt and has published in prestigious journals such as Nature Biomedical Engineering, Journal of Artificial Intelligence Research and Nature Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Inkit Padhi i

Fields of papers citing papers by Inkit Padhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inkit Padhi

Since Specialization
Citations

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