Gordon I. McCalla

1.2k citations
30 papers · 472 indexed · h-index 10
Topics
Intelligent Tutoring Systems and Adaptive Learning (10 papers)AI-based Problem Solving and Planning (5 papers)Multi-Agent Systems and Negotiation (4 papers)

In The Last Decade

Gordon I. McCalla

29 papers receiving 391 citations

Peers

Gordon I. McCalla
Comparison fields: 5 of 65
  • Artificial Intelligence 320
  • Computer Science Applications 144
  • Information Systems 125
  • Developmental and Educational Psychology 119
  • Education 43
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Countries citing papers authored by Gordon I. McCalla

Since Specialization
Citations

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

Fields of papers citing papers by Gordon I. McCalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon I. McCalla. 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 Gordon I. McCalla. The network helps show where Gordon I. McCalla may publish in the future.

Co-authorship network of co-authors of Gordon I. McCalla

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon I. McCalla. A scholar is included among the top collaborators of Gordon I. McCalla 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 Gordon I. McCalla. Gordon I. McCalla 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
#WorkIndexed citations
1
An Approach to Developing Instructional Planners for Dynamic Open-Ended Learning Environments.
2
2
Recommending software experts using code similarity and social heuristics
3
3
Exploring through Simulation the Effects of Peer Impact on Learning.
5
4 11
5 0
6
The Pedagogical Value of Papers: a Collaborative-Filtering based Paper Recommender
28
7
Bayesian Belief Network Approach for Analysis of Intercultural Collaboration in Virtual Communities Using Social Capital Theory
3
8
On the Pedagogically Guided Paper Recommendation for an Evolving Web-Based Learning System.
7
9
Helping the helper in peer help networks
2
10 21
11 8
12
Proceedings of the Second International Conference on Intelligent Tutoring Systems
8
13
Using attention in belief revision
7
14
UMRAO: a chess endgame tutor
3
15 37
16 5
17
Summarizing natural language database responses
9
18 82
19 8
20 23

About Gordon I. McCalla

Gordon I. McCalla is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology, having authored 30 papers that have together received 472 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (10 papers), AI-based Problem Solving and Planning (5 papers) and Multi-Agent Systems and Negotiation (4 papers). The work is most often cited by research in Computer Science Applications (144 citations), Artificial Intelligence (320 citations) and Developmental and Educational Psychology (119 citations). Gordon I. McCalla has collaborated with scholars based in Canada, Hong Kong and South Korea. Frequent co-authors include Jim Greer, Darwyn Peachey, Tiffany Y. Tang, Ben Kei Daniel, Pinata Winoto, Eric Neufeld, Larry D. Reid, Richard A. Schwier, Julita Vassileva and Scott Bateman. Their work appears in journals such as Communications of the ACM, Computational Linguistics and Applied Mathematics Letters.

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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