Earl T. Barr

31 papers and 1.0k indexed citations
i
.

About

Earl T. Barr is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Earl T. Barr has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 16 papers in Artificial Intelligence and 15 papers in Software. Recurrent topics in Earl T. Barr’s work include Software Engineering Research (22 papers), Software Testing and Debugging Techniques (14 papers) and Software Reliability and Analysis Research (7 papers). Earl T. Barr is often cited by papers focused on Software Engineering Research (22 papers), Software Testing and Debugging Techniques (14 papers) and Software Reliability and Analysis Research (7 papers). Earl T. Barr collaborates with scholars based in United Kingdom, United States and Australia. Earl T. Barr's co-authors include Mark Harman, Muzammil Shahbaz, Shin Yoo, Phil McMinn, Prémkumar Dévanbu, Zhendong Su, Christian Bird, Mark Gabel, Abram Hindle and Charles Sutton and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Earl T. Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Earl T. Barr. A scholar is included among the top collaborators of Earl T. Barr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Earl T. Barr. Earl T. Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Earl T. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl T. Barr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Earl T. Barr. 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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026