Earl T. Barr

About

Earl T. Barr is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Earl T. Barr has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Information Systems, 30 papers in Software and 14 papers in Artificial Intelligence. Recurrent topics in Earl T. Barr’s work include Software Engineering Research (40 papers), Software Testing and Debugging Techniques (27 papers) and Software Reliability and Analysis Research (17 papers). Earl T. Barr is often cited by papers focused on Software Engineering Research (40 papers), Software Testing and Debugging Techniques (27 papers) and Software Reliability and Analysis Research (17 papers). Earl T. Barr collaborates with scholars based in United Kingdom, United States and Australia. Earl T. Barr's co-authors include Prémkumar Dévanbu, Christian Bird, Mark Harman, Zhendong Su and Miltiadis Allamanis and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Fields of papers citing papers by Earl T. Barr

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

Countries citing papers authored by Earl T. Barr

Since Specialization

Citations

This map shows the geographic impact of Earl T. Barr'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 Earl T. Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl T. Barr more than expected).

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