Jyotismita Chaki

40 papers and 888 indexed citations i.

About

Jyotismita Chaki is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Jyotismita Chaki has authored 40 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Neurology. Recurrent topics in Jyotismita Chaki’s work include Brain Tumor Detection and Classification (9 papers), Smart Agriculture and AI (8 papers) and Leaf Properties and Growth Measurement (6 papers). Jyotismita Chaki is often cited by papers focused on Brain Tumor Detection and Classification (9 papers), Smart Agriculture and AI (8 papers) and Leaf Properties and Growth Measurement (6 papers). Jyotismita Chaki collaborates with scholars based in India, United States and China. Jyotismita Chaki's co-authors include Nilanjan Dey, Ranjan Parekh, Samar Bhattacharya, Marcin Woźniak, Parikshit N. Mahalle, Aboul Ella Hassanien, Gitanjali R. Shinde, Fuqian Shi, Simon Fong and R. Simon Sherratt and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Jyotismita Chaki i

Fields of papers citing papers by Jyotismita Chaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jyotismita Chaki

Since Specialization
Citations

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