Gaurav Parmar

15 papers and 514 indexed citations i.

About

Gaurav Parmar is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Gaurav Parmar has authored 15 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Gaurav Parmar’s work include Generative Adversarial Networks and Image Synthesis (5 papers), Piezoelectric Actuators and Control (5 papers) and Iterative Learning Control Systems (4 papers). Gaurav Parmar is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Piezoelectric Actuators and Control (5 papers) and Iterative Learning Control Systems (4 papers). Gaurav Parmar collaborates with scholars based in United States, China and India. Gaurav Parmar's co-authors include Shorya Awtar, Jun-Yan Zhu, Richard Zhang, Jingwan Lu, Yijun Li, Krishna Kumar Singh, Zhuowen Tu, Kira Barton, Weijian Xu and Yang Yang and has published in prestigious journals such as IEEE/ASME Transactions on Mechatronics, Precision Engineering and Multimedia Tools and Applications.

In The Last Decade

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

Fields of papers citing papers by Gaurav Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaurav Parmar

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025