Evan Racah

10 papers and 137 indexed citations i.

About

Evan Racah is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Molecular Biology. According to data from OpenAlex, Evan Racah has authored 10 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Nuclear and High Energy Physics and 2 papers in Molecular Biology. Recurrent topics in Evan Racah’s work include Computational Physics and Python Applications (3 papers), Astrophysics and Cosmic Phenomena (2 papers) and Reinforcement Learning in Robotics (2 papers). Evan Racah is often cited by papers focused on Computational Physics and Python Applications (3 papers), Astrophysics and Cosmic Phenomena (2 papers) and Reinforcement Learning in Robotics (2 papers). Evan Racah collaborates with scholars based in United States, Canada and South Korea. Evan Racah's co-authors include Prabhat, W. Bhimji, Steven Farrell, Thorsten Kurth, M. Paganini, C. E. Tull, Peter Sadowski, Pierre Baldi, Ankesh Anand and Sherjil Ozair and has published in prestigious journals such as Journal of Physics Conference Series, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Evan Racah i

Fields of papers citing papers by Evan Racah

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

Countries citing papers authored by Evan Racah

Since Specialization
Citations

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

Rankless by CCL
2025