Brian Hayes

10 papers and 460 indexed citations i.

About

Brian Hayes is a scholar working on Computational Theory and Mathematics, Literature and Literary Theory and Computer Networks and Communications. According to data from OpenAlex, Brian Hayes has authored 10 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Theory and Mathematics, 2 papers in Literature and Literary Theory and 1 paper in Computer Networks and Communications. Recurrent topics in Brian Hayes’s work include Digital Humanities and Scholarship (2 papers), Advanced Data Storage Technologies (1 paper) and Data Management and Algorithms (1 paper). Brian Hayes is often cited by papers focused on Digital Humanities and Scholarship (2 papers), Advanced Data Storage Technologies (1 paper) and Data Management and Algorithms (1 paper). Brian Hayes collaborates with scholars based in and . Brian Hayes's co-authors include and and has published in prestigious journals such as Communications of the ACM and American Scientist.

In The Last Decade

Fields of papers citing papers by Brian Hayes

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

Countries citing papers authored by Brian Hayes

Since Specialization
Citations

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

Rankless by CCL
2025