Ryan Riegel

7 papers and 343 indexed citations i.

About

Ryan Riegel is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Computational Theory and Mathematics. According to data from OpenAlex, Ryan Riegel has authored 7 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Astronomy and Astrophysics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Ryan Riegel’s work include Gamma-ray bursts and supernovae (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Galaxies: Formation, Evolution, Phenomena (3 papers). Ryan Riegel is often cited by papers focused on Gamma-ray bursts and supernovae (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Galaxies: Formation, Evolution, Phenomena (3 papers). Ryan Riegel collaborates with scholars based in United States, United Kingdom and South Africa. Ryan Riegel's co-authors include Adam D. Myers, Gordon T. Richards, Alexander Gray, R. C. Nichol, Donald P. Schneider, Alexander S. Szalay, Róbert Brunner, Scott F. Anderson, Nicholas P. Ross and Christina Peters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and The Astrophysical Journal Supplement Series.

In The Last Decade

Co-authorship network of co-authors of Ryan Riegel i

Fields of papers citing papers by Ryan Riegel

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

Countries citing papers authored by Ryan Riegel

Since Specialization
Citations

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

Rankless by CCL
2025