Shayok Chakraborty

40 papers and 1.4k indexed citations i.

About

Shayok Chakraborty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Shayok Chakraborty has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Shayok Chakraborty’s work include Machine Learning and Algorithms (17 papers), Machine Learning and Data Classification (11 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Shayok Chakraborty is often cited by papers focused on Machine Learning and Algorithms (17 papers), Machine Learning and Data Classification (11 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Shayok Chakraborty collaborates with scholars based in United States, India and Ireland. Shayok Chakraborty's co-authors include Sethuraman Panchanathan, Hemanth Venkateswara, Vineeth N Balasubramanian, Troy McDaniel, Ravi Iyer, Omesh Tickoo, Jieping Ye, Qian Sun, Ankita Singh and Walter R. Boot and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Shayok Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shayok Chakraborty

Since Specialization
Citations

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