Paritosh Parmar

8 papers and 242 indexed citations i.

About

Paritosh Parmar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Paritosh Parmar has authored 8 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. Recurrent topics in Paritosh Parmar’s work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Multimodal Machine Learning Applications (2 papers). Paritosh Parmar is often cited by papers focused on Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Multimodal Machine Learning Applications (2 papers). Paritosh Parmar collaborates with scholars based in United States, Singapore and Canada. Paritosh Parmar's co-authors include Brendan Morris and Basura Fernando and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and DOAJ (DOAJ: Directory of Open Access Journals).

In The Last Decade

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

Fields of papers citing papers by Paritosh Parmar

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Paritosh Parmar. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Paritosh Parmar may publish in the future.

Countries citing papers authored by Paritosh Parmar

Since Specialization
Citations

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

Rankless by CCL
2025