Valerie Barr

28 papers and 873 indexed citations i.

About

Valerie Barr is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Valerie Barr has authored 28 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Computer Science Applications and 5 papers in Artificial Intelligence. Recurrent topics in Valerie Barr’s work include Teaching and Learning Programming (9 papers), Software Engineering Research (5 papers) and Software Reliability and Analysis Research (4 papers). Valerie Barr is often cited by papers focused on Teaching and Learning Programming (9 papers), Software Engineering Research (5 papers) and Software Reliability and Analysis Research (4 papers). Valerie Barr collaborates with scholars based in United States and Mexico. Valerie Barr's co-authors include Chris Stephenson, Avelino J. González, Mark Guzdial, Wendy DuBow, Beth Quinn, Jeannette M. Wing, Deborah Trytten, Michael Stonebraker, Nicholas J. Horton and Andrew Zieffler and has published in prestigious journals such as Communications of the ACM, Knowledge-Based Systems and Journal of Experimental & Theoretical Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Valerie Barr i

Fields of papers citing papers by Valerie Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valerie 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 Valerie Barr. The network helps show where Valerie Barr may publish in the future.

Countries citing papers authored by Valerie Barr

Since Specialization
Citations

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

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2025