Jeffrey Bonar

936 total citations
12 papers, 551 citations indexed

About

Jeffrey Bonar is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Jeffrey Bonar has authored 12 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Science Applications. Recurrent topics in Jeffrey Bonar's work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Software Engineering Research (4 papers) and Software Engineering Techniques and Practices (3 papers). Jeffrey Bonar is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (7 papers), Software Engineering Research (4 papers) and Software Engineering Techniques and Practices (3 papers). Jeffrey Bonar collaborates with scholars based in United States. Jeffrey Bonar's co-authors include Elliot Soloway, Kate Ehrlich, Valerie J. Shute, Eric Rubin, W. Lewis Johnson, Beverly Park Woolf, Ted Selker, Robert E. Cunningham and John D. Corbett and has published in prestigious journals such as Communications of the ACM, Behavior Research Methods and ACM SIGPLAN Notices.

In The Last Decade

Jeffrey Bonar

11 papers receiving 472 citations

Peers

Jeffrey Bonar
Comparison fields: 5 of 41
  • Computer Science Applications 341
  • Information Systems 197
  • Developmental and Educational Psychology 193
  • Artificial Intelligence 191
  • Software 117
Replace Niko Myller with:
Niko Myller Finland
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Richard E. Pattis United States
Jaime Urquiza‐Fuentes Spain
Matthew C. Jadud United States
Tom Naps United States
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Elliot B. Koffman United States
William Fone United Kingdom
Orni Meerbaum–Salant Israel
Niko Myller Finland View profile →
Citations per field, relative to Jeffrey Bonar
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Citations per year, relative to Jeffrey Bonar
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Countries citing papers authored by Jeffrey Bonar

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Bonar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Bonar

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2
Chips: A Tool for Developing Software Interfaces Interactively.
1
3
Intelligent Tutoring Systems for Scientific Inquiry Skills.
17
4 10
5 13
6 150
7
Understanding the bugs of novice programmers (pascal, human-computer interaction, problem solving)
1
8 62
9 221
10
MENO-II: An AI-Based Programming Tutor.
26
11 11
12 39

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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