Rajan Vaish

15 papers and 72 indexed citations i.

About

Rajan Vaish is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Rajan Vaish has authored 15 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Human-Computer Interaction, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems and Management. Recurrent topics in Rajan Vaish’s work include Virtual Reality Applications and Impacts (7 papers), Innovative Human-Technology Interaction (6 papers) and Augmented Reality Applications (4 papers). Rajan Vaish is often cited by papers focused on Virtual Reality Applications and Impacts (7 papers), Innovative Human-Technology Interaction (6 papers) and Augmented Reality Applications (4 papers). Rajan Vaish collaborates with scholars based in United States, The Netherlands and Canada. Rajan Vaish's co-authors include Andrés Monroy‐Hernández, Neil Shah, Anhong Guo, Hana Habib, Nitin Nitin, James Davis, Steven J. Scher, Jing Liu, Brian A. Smith and Joanne Leong and has published in prestigious journals such as ACM Transactions on Graphics, Proceedings of the ACM on Human-Computer Interaction and The Journal of Supercomputing.

In The Last Decade

Co-authorship network of co-authors of Rajan Vaish i

Fields of papers citing papers by Rajan Vaish

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

Countries citing papers authored by Rajan Vaish

Since Specialization
Citations

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

Rankless by CCL
2025