Jyoti Rawat

26 papers and 499 indexed citations i.

About

Jyoti Rawat is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jyoti Rawat has authored 26 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Jyoti Rawat’s work include Digital Imaging for Blood Diseases (8 papers), AI in cancer detection (8 papers) and Growth and nutrition in plants (5 papers). Jyoti Rawat is often cited by papers focused on Digital Imaging for Blood Diseases (8 papers), AI in cancer detection (8 papers) and Growth and nutrition in plants (5 papers). Jyoti Rawat collaborates with scholars based in India, Saudi Arabia and Japan. Jyoti Rawat's co-authors include Annapurna Singh, Jitendra Virmani, H.S. Bhadauria, Indrajeet Kumar, Noor Mohd, Manoj Kumar, Bhupendra Singh, Prateek Jain, Ravichandran Veerasamy and Ram K. Agrawal and has published in prestigious journals such as Scientia Horticulturae, Multimedia Tools and Applications and Arabian Journal for Science and Engineering.

In The Last Decade

Co-authorship network of co-authors of Jyoti Rawat i

Fields of papers citing papers by Jyoti Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jyoti Rawat

Since Specialization
Citations

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