Jonathan Sewall

1.3k citations
31 papers · 889 · h-index 12

Impact in

Papers in

Jonathan Sewall

29 papers receiving 809 citations

Peers

Jonathan Sewall
Comparison fields: 5 of 54
  • Computer Science Applications 438
  • Developmental and Educational Psychology 448
  • Artificial Intelligence 683
  • Experimental and Cognitive Psychology 69
  • Software 20
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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 25 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

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009237
2 2006165
3 201694
4 200980
5 201556
6 200643
7 200638
8 200520
9 201419
10 200817
11 201815
12 202213
13 201611
14 201811
15 20209
16 20079
17
Authoring Collaborative Intelligent Tutoring Systems.
20138
18 20186
19
Hands-on introduction to creating intelligent tutoring systems without programming using the cognitive tutor authoring tools (CTAT)
20106
20 20066

About Jonathan Sewall

Jonathan Sewall is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Computer Networks and Communications and Molecular Biology, having authored 31 papers that have together received 889 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (30 papers), Innovative Teaching and Learning Methods (17 papers), AI-based Problem Solving and Planning (14 papers), Online Learning and Analytics (9 papers), Topic Modeling (3 papers), Teaching and Learning Programming (2 papers), Educational and Psychological Assessments (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Computer Science Applications (438 citations), Developmental and Educational Psychology (448 citations), Artificial Intelligence (683 citations), Experimental and Cognitive Psychology (69 citations) and Software (20 citations). Jonathan Sewall has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger, Octav Popescu, Michael Ringenberg, Martin van Velsen, Andreas Harrer, Lars Bollen, Erin Walker and William W. Cohen. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Lecture notes in computer science, User Modeling and User-Adapted Interaction, IEEE Transactions on Learning Technologies and Academic Medicine.

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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