Piyush Rai

100 papers and 2.3k indexed citations i.

About

Piyush Rai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Piyush Rai has authored 100 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 16 papers in Mechanical Engineering. Recurrent topics in Piyush Rai’s work include Domain Adaptation and Few-Shot Learning (23 papers), Multimodal Machine Learning Applications (12 papers) and Mineral Processing and Grinding (12 papers). Piyush Rai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (23 papers), Multimodal Machine Learning Applications (12 papers) and Mineral Processing and Grinding (12 papers). Piyush Rai collaborates with scholars based in India, United States and South Korea. Piyush Rai's co-authors include Hal Daumé, Abhishek Kumar, Vinay Kumar Verma, Pravendra Singh, Ashish Mishra, Gundeep Arora, Vinay P. Namboodiri, Lawrence Carin, Suresh Venkatasubramanian and Ankush Gupta and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Atmospheric Environment.

In The Last Decade

Co-authorship network of co-authors of Piyush Rai i

Fields of papers citing papers by Piyush Rai

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 Piyush Rai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Piyush Rai may publish in the future.

Countries citing papers authored by Piyush Rai

Since Specialization
Citations

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

Rankless by CCL
2025