Mohit Agarwal

32 papers and 673 indexed citations i.

About

Mohit Agarwal is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Mohit Agarwal has authored 32 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Plant Science and 7 papers in Artificial Intelligence. Recurrent topics in Mohit Agarwal’s work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (5 papers) and COVID-19 diagnosis using AI (4 papers). Mohit Agarwal is often cited by papers focused on Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (5 papers) and COVID-19 diagnosis using AI (4 papers). Mohit Agarwal collaborates with scholars based in India, United States and Italy. Mohit Agarwal's co-authors include Suneet Gupta, Kanad K. Biswas, Amit Sinha, Siddhartha Kumar Arjaria, Suneet Kumar Gupta, Tanveer Hussain, Zulfiqar Ahmad Khan, Hikmat Yar, Sung Wook Baik and Luca Saba and has published in prestigious journals such as IEEE Transactions on Image Processing, Neurocomputing and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Mohit Agarwal i

Fields of papers citing papers by Mohit Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohit Agarwal

Since Specialization
Citations

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