Mihir Parmar

21 papers and 490 indexed citations i.

About

Mihir Parmar is a scholar working on Artificial Intelligence, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mihir Parmar has authored 21 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Pharmacology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mihir Parmar’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). Mihir Parmar is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). Mihir Parmar collaborates with scholars based in Saudi Arabia, United States and India. Mihir Parmar's co-authors include Hatem M. Abuohashish, Mohammed M. Ahmed, Salim S. Al‐Rejaie, Mohammad Shamsul Ola, Abdulaziz M. Aleisa, Amal J. Fatani, Abdullah S. Alhomida, Khaled Alhosaini, Chitta Baral and Swaroop Mishra and has published in prestigious journals such as The FASEB Journal, BMC Complementary and Alternative Medicine and Neurological Research.

In The Last Decade

Co-authorship network of co-authors of Mihir Parmar i

Fields of papers citing papers by Mihir Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mihir Parmar

Since Specialization
Citations

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