John Barr

419 total citations
38 papers, 300 citations indexed

About

John Barr is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, John Barr has authored 38 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Science Applications, 9 papers in Developmental and Educational Psychology and 8 papers in Information Systems. Recurrent topics in John Barr's work include Teaching and Learning Programming (13 papers), Innovative Teaching and Learning Methods (7 papers) and Software Engineering Techniques and Practices (5 papers). John Barr is often cited by papers focused on Teaching and Learning Programming (13 papers), Innovative Teaching and Learning Methods (7 papers) and Software Engineering Techniques and Practices (5 papers). John Barr collaborates with scholars based in United States, New Zealand and Italy. John Barr's co-authors include Tony Clear, Michael Goldweber, Sarah Beecham, John Noll, Michael J. Oudshoorn, Mats Daniels, Elizabeth Patitsas, Renzo Davoli, Herschel Rabitz and Samuel Mann and has published in prestigious journals such as Reliability Engineering & System Safety, Risk Analysis and IEEE Software.

In The Last Decade

John Barr

36 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Barr United States 10 184 126 76 53 27 38 300
S. Monisha Pulimood United States 12 229 1.2× 74 0.6× 94 1.2× 47 0.9× 32 1.2× 23 288
Yen‐Teh Hsia Taiwan 10 84 0.5× 96 0.8× 122 1.6× 128 2.4× 18 0.7× 28 335
Bonnie MacKellar United States 10 164 0.9× 160 1.3× 37 0.5× 55 1.0× 26 1.0× 46 313
Elizabeth Patitsas Canada 11 232 1.3× 71 0.6× 90 1.2× 88 1.7× 41 1.5× 33 374
Tony Jenkins United Kingdom 10 297 1.6× 88 0.7× 123 1.6× 92 1.7× 72 2.7× 36 442
Ilona Box Australia 9 221 1.2× 79 0.6× 111 1.5× 93 1.8× 79 2.9× 26 322
Charles Patton United States 10 102 0.6× 308 2.4× 219 2.9× 214 4.0× 19 0.7× 16 527
Ellen Walker United States 12 133 0.7× 71 0.6× 27 0.4× 40 0.8× 50 1.9× 42 346
Tracy L. Lewis United States 9 250 1.4× 115 0.9× 86 1.1× 86 1.6× 64 2.4× 23 358
Jason Cole United States 6 147 0.8× 111 0.9× 84 1.1× 167 3.2× 31 1.1× 8 407

Countries citing papers authored by John Barr

Since Specialization
Citations

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

Fields of papers citing papers by John Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Barr

This figure shows the co-authorship network connecting the top 25 collaborators of John Barr. A scholar is included among the top collaborators of John 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 John Barr. John Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Borgonovo, Emanuele, Manel Baucells, A. De Rosa, et al.. (2025). Direction of impact for explainable risk assessment modeling. Risk Analysis. 45(8). 2157–2182. 1 indexed citations
2.
Barr, John & Herschel Rabitz. (2023). Kernel-based global sensitivity analysis obtained from a single data set. Reliability Engineering & System Safety. 235. 109173–109173. 5 indexed citations
3.
Baucells, Manel, Emanuele Borgonovo, Elmar Plischke, John Barr, & Herschel Rabitz. (2021). Trend Analysis in the Age of Machine Learning. SSRN Electronic Journal. 5 indexed citations
4.
Wiesner, Emilie, et al.. (2020). The Roles of Textual Features, Background Knowledge, and Disciplinary Expertise in Reading a Calculus Textbook. Journal for Research in Mathematics Education. 51(2). 204–233. 3 indexed citations
5.
Barr, John, Michael L. Littman, & Marie desJardins. (2019). Decision trees. ACM Inroads. 10(3). 56–56. 4 indexed citations
6.
Dickson, Paul E. & John Barr. (2019). Bringing Reflection into Computer Science Education. 1249–1249. 1 indexed citations
7.
Barr, John, et al.. (2018). Developing a Holistic Understanding of Systems and Algorithms through Research Papers. 23. 86–104. 1 indexed citations
8.
Beecham, Sarah, Tony Clear, Daniela Damian, et al.. (2017). How Best to Teach Global Software Engineering? Educators Are Divided. IEEE Software. 34(1). 16–19. 21 indexed citations
9.
Barr, John, et al.. (2017). Developing a Holistic Understanding of Systems and Algorithms through Research Papers. 390–390. 1 indexed citations
10.
Weinberg, Aaron, Emilie Wiesner, & John Barr. (2016). Sense-Making Practices of Expert and Novice Readers.. Proceedings of the ... PME Conference. 2 indexed citations
11.
Clear, Tony, Sarah Beecham, John Barr, et al.. (2016). Developments in Global Software Engineering Education. University of Limerick Institutional Repository (University of Limerick). 26. 1–4. 3 indexed citations
12.
Barr, John, et al.. (2012). Classroom salon. 197–202. 20 indexed citations
13.
Goldweber, Michael, John Barr, Tony Clear, et al.. (2012). A framework for enhancing the social good in computing education. 16–38. 20 indexed citations
14.
Barr, John. (2011). Beyond the "Atlantic World": Early American History as Viewed from the West. OAH Magazine of History. 25(1). 13–18. 4 indexed citations
15.
Barr, John, et al.. (2008). A method for analyzing reading comprehension in computer science courses. 348–348. 2 indexed citations
16.
Goldweber, Michael, et al.. (1999). A comparison of operating systems courseware. ACM SIGCSE Bulletin. 31(1). 348–349. 1 indexed citations
17.
Barr, John, et al.. (1996). Multiple paradigms in CS I. 343–347. 1 indexed citations
18.
Barr, John, et al.. (1996). Multiple paradigms in CS I. ACM SIGCSE Bulletin. 28(1). 343–347. 1 indexed citations
19.
20.
Goldweber, Michael, et al.. (1994). A new perspective on teaching computer literacy. ACM SIGCSE Bulletin. 26(1). 131–135. 5 indexed citations

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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