Kushal Chakrabarti

14 papers and 33 indexed citations i.

About

Kushal Chakrabarti is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Kushal Chakrabarti has authored 14 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 4 papers in Computer Networks and Communications. Recurrent topics in Kushal Chakrabarti’s work include Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and ELM (2 papers). Kushal Chakrabarti is often cited by papers focused on Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and ELM (2 papers). Kushal Chakrabarti collaborates with scholars based in United States, India and Switzerland. Kushal Chakrabarti's co-authors include Nikhil Chopra, Lior Pachter, Nirupam Gupta, Amrit Singh Bedi, Fikadu T. Dagefu and Jeffrey N. Twigg and has published in prestigious journals such as Genome Research, Automatica and IEEE Transactions on Control of Network Systems.

In The Last Decade

Co-authorship network of co-authors of Kushal Chakrabarti i

Fields of papers citing papers by Kushal Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kushal Chakrabarti

Since Specialization
Citations

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