Valerie Barr
- Computer Science Applications top 0.1%
- Developmental and Educational Psychology top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Molecular Biology
- Co-authors
- Chris StephensonAvelino J. GonzálezSusanne E. HambruschVicki H. AllanDennis BrylowAmber SettleDebra S. GoldbergMark Guzdial
- Topics
- Teaching and Learning Programming (18 papers)Online Learning and Analytics (6 papers)Software Engineering Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMKnowledge-Based Systems
- Partner nations
- United StatesMexico
In The Last Decade
Valerie Barr
38 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Science Applications 1.2k
- Developmental and Educational Psychology 517
- Artificial Intelligence 214
- Information Systems 203
- Molecular Biology 193
Countries citing papers authored by Valerie Barr
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).
Fields of papers citing papers by Valerie Barr
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.
Co-authorship network of co-authors of Valerie Barr
This figure shows the co-authorship network connecting the top 25 collaborators of Valerie Barr. A scholar is included among the top collaborators of Valerie 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 Valerie Barr. Valerie Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | Create two, three, many courses: an experiment in contextualized introductory computer science | 7 |
| 12 | 1 | |
| 13 | 34 | |
| 14 | Building a campus wide computation initiative: panel discussion | 1 |
| 15 | Verification of Lexicalized Tree Adjoining Grammars | 0 |
| 16 | 3 | |
| 17 | A Quagmire of Terminology: Verification and Validation, Testing, and Evaluation | 6 |
| 18 | Teaching software testing throughout the curriculum | 1 |
| 19 | Applying Reliability Engineering to Expert Systems | 7 |
| 20 | 7 |
About Valerie Barr
Valerie Barr is a scholar working on Computer Science Applications, Software and Media Technology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Teaching and Learning Programming (18 papers), Online Learning and Analytics (6 papers) and Software Engineering Research (6 papers). The work is most often cited by research in Computer Science Applications (1.2k citations), Developmental and Educational Psychology (517 citations) and Software (106 citations). Valerie Barr has collaborated with scholars based in United States and Mexico. Frequent co-authors include Chris Stephenson, Avelino J. González, Susanne E. Hambrusch, Vicki H. Allan, Dennis Brylow, Amber Settle, Debra S. Goldberg, Mark Guzdial, Deborah Trytten and Beth Quinn. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Knowledge-Based Systems.
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.