Aruna Chakraborty
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Plant Science
- Co-authors
- Amit KonarAtulya K. NagarDipak Kumar KoleNikhil R. PalD. Dutta MajumderR. JanarthananPratyusha RakshitAnuradha Saha
- Topics
- Fuzzy Logic and Control Systems (9 papers)Neural Networks and Applications (9 papers)EEG and Brain-Computer Interfaces (6 papers)
- Cited by
- Experimental and Cognitive PsychologyHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- International Journal of CancerIEEE Transactions on Fuzzy SystemsIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Aruna Chakraborty
28 papers receiving 350 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 116
- Computer Vision and Pattern Recognition 107
- Experimental and Cognitive Psychology 98
- Cognitive Neuroscience 78
- Plant Science 55
Countries citing papers authored by Aruna Chakraborty
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).
Fields of papers citing papers by Aruna Chakraborty
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.
Co-authorship network of co-authors of Aruna Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Chakraborty. A scholar is included among the top collaborators of Aruna Chakraborty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aruna Chakraborty. Aruna Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | Emotion Recognition: A Pattern Analysis Approach | 62 |
| 9 | 82 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 28 | |
| 19 | Emotional Intelligence: A Cybernetic Approach (Studies in Computational Intelligence) | 5 |
| 20 | 2 |
About Aruna Chakraborty
Aruna Chakraborty is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 29 papers that have together received 384 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (9 papers), Neural Networks and Applications (9 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (98 citations), Human-Computer Interaction (30 citations) and Computer Vision and Pattern Recognition (107 citations). Aruna Chakraborty has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Amit Konar, Atulya K. Nagar, Dipak Kumar Kole, Nikhil R. Pal, D. Dutta Majumder, R. Janarthanan, Pratyusha Rakshit, Anuradha Saha, Basabdatta Sen Bhattacharya and Eun‐jin Kim. Their work appears in journals such as International Journal of Cancer, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Systems Man and Cybernetics Systems.
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.