R. Kansal

11 papers and 76 indexed citations i.

About

R. Kansal is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Kansal has authored 11 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Nuclear and High Energy Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Kansal’s work include Computational Physics and Python Applications (7 papers), Particle physics theoretical and experimental studies (7 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). R. Kansal is often cited by papers focused on Computational Physics and Python Applications (7 papers), Particle physics theoretical and experimental studies (7 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). R. Kansal collaborates with scholars based in United States, Switzerland and Brazil. R. Kansal's co-authors include J. Duarte, N. Chernyavskaya, T. R. Fernandez Perez Tomei, Breno Orzari, M. Pierini, Dimitrios Gunopulos, Jean-Roch Vlimant, Daniel S. Katz, M. S. Neubauer and E. A. Huerta and has published in prestigious journals such as Physical review. D, The European Physical Journal C and Scientific Data.

In The Last Decade

Co-authorship network of co-authors of R. Kansal i

Fields of papers citing papers by R. Kansal

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

Countries citing papers authored by R. Kansal

Since Specialization
Citations

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

Rankless by CCL
2025