Amit Konar

223 papers and 4.4k indexed citations i.

About

Amit Konar is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Konar has authored 223 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Artificial Intelligence, 80 papers in Cognitive Neuroscience and 45 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Konar’s work include EEG and Brain-Computer Interfaces (70 papers), Metaheuristic Optimization Algorithms Research (37 papers) and Neural Networks and Applications (32 papers). Amit Konar is often cited by papers focused on EEG and Brain-Computer Interfaces (70 papers), Metaheuristic Optimization Algorithms Research (37 papers) and Neural Networks and Applications (32 papers). Amit Konar collaborates with scholars based in India, United Kingdom and United States. Amit Konar's co-authors include Swagatam Das, Ajith Abraham, Uday K. Chakraborty, Atulya K. Nagar, Pratyusha Rakshit, Saugat Bhattacharyya, D. N. Tibarewala, Lakhmi C. Jain, D. N. Tibarewala and Anwesha Khasnobish and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Amit Konar i

Fields of papers citing papers by Amit Konar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amit Konar

Since Specialization
Citations

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