Tulika Chakrabarti

40 papers and 545 indexed citations i.

About

Tulika Chakrabarti is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Tulika Chakrabarti has authored 40 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Tulika Chakrabarti’s work include IoT and Edge/Fog Computing (5 papers), Artificial Intelligence in Healthcare (4 papers) and Energy Load and Power Forecasting (4 papers). Tulika Chakrabarti is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Artificial Intelligence in Healthcare (4 papers) and Energy Load and Power Forecasting (4 papers). Tulika Chakrabarti collaborates with scholars based in India, United States and Egypt. Tulika Chakrabarti's co-authors include Prąsun Chakrabarti, Sibabrata Mukhopadhyay, Michał Jasiński, Zbigniew Leonowicz, Radomír Goňo, Elżbieta Jasińska, Vadim Bolshev, Susanta Roychoudhury, Ashish Kumar and Tania Das and has published in prestigious journals such as Scientific Reports, Biochemical Pharmacology and Sensors.

In The Last Decade

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

Fields of papers citing papers by Tulika Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tulika Chakrabarti

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025