Jonathan Sewall

1.3k citations
18 papers · 411 · h-index 8

Impact in

Papers in

Jonathan Sewall

17 papers receiving 373 citations

Peers

Jonathan Sewall
Comparison fields: 5 of 43
  • Computer Science Applications 197
  • Developmental and Educational Psychology 222
  • Artificial Intelligence 308
  • Experimental and Cognitive Psychology 42
  • Information Systems 51
Replace Kay G. Schulze with:
Kay G. Schulze United States
James R. Segedy United States
Anders Weinstein United States
Michael A. Sao Pedro United States
Sergio Gutiérrez-Santos United Kingdom
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Kay Berkling Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Sewall

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Sewall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Jonathan Sewall, 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 Jonathan Sewall Line = papers co-authored together Jonathan Sewall links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2009166
2 200960
3 201656
4 200632
5 200631
6 200517
7 202211
8 20187
9 20186
10 20166
11
Authoring Collaborative Intelligent Tutoring Systems.
20135
12 19764
13
Hands-on introduction to creating intelligent tutoring systems without programming using the cognitive tutor authoring tools (CTAT)
20104
14 20092
15 20182
16 20061
17 20181
18 20180

About Jonathan Sewall

Jonathan Sewall is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Molecular Biology and Biomedical Engineering, having authored 18 papers that have together received 411 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (17 papers), AI-based Problem Solving and Planning (10 papers), Innovative Teaching and Learning Methods (10 papers), Online Learning and Analytics (4 papers), Topic Modeling (3 papers), Teaching and Learning Programming (2 papers), Biomedical and Engineering Education (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Computer Science Applications (197 citations), Developmental and Educational Psychology (222 citations), Artificial Intelligence (308 citations), Experimental and Cognitive Psychology (42 citations) and Information Systems (51 citations). Jonathan Sewall has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Bruce M. McLaren, Vincent Aleven, Kenneth R. Koedinger, Andreas Harrer, Erin Walker, Lars Bollen, Octav Popescu, Michael Ringenberg, Martin van Velsen and Noboru Matsuda. Their work appears in journals such as International Journal of Artificial Intelligence in Education, IEEE Transactions on Learning Technologies, User Modeling and User-Adapted Interaction, Academic Medicine and Journal of Chemical 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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