Aruna Chakraborty

19 papers and 158 indexed citations i.

About

Aruna Chakraborty is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aruna Chakraborty has authored 19 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aruna Chakraborty’s work include Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Aruna Chakraborty is often cited by papers focused on Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Aruna Chakraborty collaborates with scholars based in India, United Kingdom and United States. Aruna Chakraborty's co-authors include Amit Konar, Atulya K. Nagar, Nikhil R. Pal, R. Janarthanan, Malay K. Kundu, Durga Prasad Mohapatra, Pratyusha Rakshit, Basabdatta Sen Bhattacharya, Lakhmi C. Jain and Eun‐jin Kim and has published in prestigious journals such as International Journal of Cancer, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Co-authorship network of co-authors of Aruna Chakraborty i

Fields of papers citing papers by Aruna Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aruna Chakraborty

Since Specialization
Citations

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