R. Bayes

7 papers and 44 indexed citations i.

About

R. Bayes is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Condensed Matter Physics. According to data from OpenAlex, R. Bayes has authored 7 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 4 papers in Mechanics of Materials and 1 paper in Condensed Matter Physics. Recurrent topics in R. Bayes’s work include Neutrino Physics Research (6 papers), Particle physics theoretical and experimental studies (5 papers) and Astrophysics and Cosmic Phenomena (4 papers). R. Bayes is often cited by papers focused on Neutrino Physics Research (6 papers), Particle physics theoretical and experimental studies (5 papers) and Astrophysics and Cosmic Phenomena (4 papers). R. Bayes collaborates with scholars based in United Kingdom, United States and Spain. R. Bayes's co-authors include A. Bross, P. Snopok, D. Adey, J.J. Gómez-Cadenas, F. J. P. Soler, A. Cervera Villanueva, A. Laing, J. Burguet–Castell, Pilar Hernández and J. Martín-Albo and has published in prestigious journals such as Physical Review B, Annual Review of Nuclear and Particle Science and Physical Review Special Topics - Accelerators and Beams.

In The Last Decade

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

Fields of papers citing papers by R. Bayes

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

Countries citing papers authored by R. Bayes

Since Specialization
Citations

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

Rankless by CCL
2025