James R. Segedy

689 citations
17 papers · 381 indexed · h-index 8

James R. Segedy

17 papers receiving 359 citations

Peers

James R. Segedy
Comparison fields: 5 of 47
  • Computer Science Applications 188
  • Developmental and Educational Psychology 257
  • Artificial Intelligence 188
  • Education 96
  • Experimental and Cognitive Psychology 38
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Countries citing papers authored by James R. Segedy

Since Specialization
Citations

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

Fields of papers citing papers by James R. Segedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Segedy. 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 James R. Segedy. The network helps show where James R. Segedy may publish in the future.

Co-authorship network

The 7 scholars most cited alongside James R. Segedy, 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 James R. Segedy Line = papers co-authored together James R. Segedy links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Towards Using Coherence Analysis to Scaffold Students in Open-Ended Learning Environments
20154
2 201583
3
Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences.
20152
4 201538
5 201551
6
A Model-Based Behavior Analysis Approach for Open-Ended Environments
201413
7 201467
8
Analyzing Students' Metacognitive Strategies in Open-Ended Learning Environments
20132
9
Suggest-Assert-Modify: A Taxonomy of Adaptive Scaffolds in Computer-Based Learning Environments.
20131
10
Towards Automated Support for Small-Group Instruction: Using Data from an ITS to Automatically Group Students.
20131
11 20131
12 20135
13
Supporting Student Learning using Conversational Agents in a Teachable Agent Environment.
201211
14 201250
15 201245
16
Modeling Learner’s Cognitive and Metacognitive Strategies in an Open-Ended Learning Environment
20116
17 20081

About James R. Segedy

James R. Segedy is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Artificial Intelligence, Cognitive Neuroscience and Education, having authored 17 papers that have together received 381 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (15 papers), Intelligent Tutoring Systems and Adaptive Learning (12 papers), Online Learning and Analytics (8 papers), Learning Styles and Cognitive Differences (4 papers), Online and Blended Learning (2 papers), Neuroscience, Education and Cognitive Function (2 papers), Teaching and Learning Programming (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Computer Science Applications (188 citations), Developmental and Educational Psychology (257 citations), Artificial Intelligence (188 citations), Education (96 citations) and Experimental and Cognitive Psychology (38 citations). James R. Segedy has collaborated with scholars based in United States and Thailand. Frequent co-authors include Gautam Biswas, John S. Kinnebrew, Rod D. Roscoe, Hogyeong Jeong, Cheng Ye, Ted S. Hasselbring and L. Keoki Williams. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Educational Technology & Society, IEEE Transactions on Learning Technologies, Journal of Learning Analytics and Computers & Education.

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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