Akshat Agrawal

About

Akshat Agrawal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Akshat Agrawal has authored 37 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Akshat Agrawal’s work include Clinical practice guidelines implementation (4 papers), Mathematical Dynamics and Fractals (4 papers) and Electronic Health Records Systems (3 papers). Akshat Agrawal is often cited by papers focused on Clinical practice guidelines implementation (4 papers), Mathematical Dynamics and Fractals (4 papers) and Electronic Health Records Systems (3 papers). Akshat Agrawal collaborates with scholars based in India, United States and Vietnam. Akshat Agrawal's co-authors include Richard N. Shiffman, Bryant T. Karras, Luis Marenco, Rong Chen, Ankit Garg, Ashish Negi, Anurag Jain, Peter Gershkovich, Aniruddha M. Deshpande and Sham S Bhat and has published in prestigious journals such as IEEE Access, Journal of the American Medical Informatics Association and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Akshat Agrawal i

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Fields of papers citing papers by Akshat Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akshat Agrawal

Since Specialization

Citations

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