John Rushby

34 papers and 874 indexed citations i.

About

John Rushby is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software. According to data from OpenAlex, John Rushby has authored 34 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 17 papers in Artificial Intelligence and 13 papers in Software. Recurrent topics in John Rushby’s work include Formal Methods in Verification (20 papers), Distributed systems and fault tolerance (8 papers) and Software Reliability and Analysis Research (7 papers). John Rushby is often cited by papers focused on Formal Methods in Verification (20 papers), Distributed systems and fault tolerance (8 papers) and Software Reliability and Analysis Research (7 papers). John Rushby collaborates with scholars based in United States, Germany and United Kingdom. John Rushby's co-authors include Natarajan Shankar, Friedrich von Henke, Sam Owre, Patrick Lincoln, Grégoire Hamon, Karen M. Feigh, Bev Littlewood, Ashish Tiwari, Vlad Rusu and Yassine Lakhnech and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Software Engineering and Reliability Engineering & System Safety.

In The Last Decade

Co-authorship network of co-authors of John Rushby i

Fields of papers citing papers by John Rushby

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

Countries citing papers authored by John Rushby

Since Specialization
Citations

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

Rankless by CCL
2025