Jim Greer

3.0k citations
83 papers · 1.1k · h-index 18

Impact in

Papers in

Jim Greer

77 papers receiving 932 citations

Peers

Jim Greer
Comparison fields: 5 of 93
  • Computer Science Applications 457
  • Developmental and Educational Psychology 334
  • Artificial Intelligence 588
  • Human-Computer Interaction 47
  • Information Systems 187
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Citations per field
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Citations per year

Countries citing papers authored by Jim Greer

Since Specialization
Citations

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

Fields of papers citing papers by Jim Greer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jim Greer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jim Greer Line = papers co-authored together Jim Greer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994118
2
Evaluation Methodologies for Intelligent Tutoring Systems.
199374
3 200469
4
Artificial Intelligence in Education: Building Technology Rich Learning Contexts that Work
200749
5 201447
6
Lessons Learned in Deploying a Multi-Agent Learning Support System: The I-Help Experience
200145
7 201543
8 199137
9 201136
10 201135
11
A computational framework for granularity and its application to educational diagnosis
198928
12 198428
13 199422
14 200422
15 201421
16 199421
17 199519
18 201518
19 200616
20
Towards Best Practices for Semantic Web Student Modelling
200516

About Jim Greer

Jim Greer is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Sociology and Political Science and Information Systems, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (24 papers), Online Learning and Analytics (14 papers), Innovative Teaching and Learning Methods (13 papers), Open Education and E-Learning (10 papers), Educational Games and Gamification (8 papers), Multi-Agent Systems and Negotiation (7 papers), Multimedia Communication and Technology (6 papers) and Online and Blended Learning (5 papers). The work is most often cited by research in Computer Science Applications (457 citations), Developmental and Educational Psychology (334 citations), Artificial Intelligence (588 citations), Human-Computer Interaction (47 citations) and Information Systems (187 citations). Jim Greer has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Gordon I. McCalla, Diego Zapata‐Rivera, Christopher Brooks, Julita Vassileva, Gordon McCalla, Mohd Anwar, Kenneth R. Koedinger, Rosemary Luckin, Gord McCalla and Susan Bull. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Applied Intelligence, Journal of the Learning Sciences, Interacting with Computers and Interactive Learning Environments.

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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