John Stamper

2.9k citations
109 papers · 2.2k · 1 hit paper · h-index 23

Impact in

Papers in

John Stamper

98 papers receiving 2.0k citations

John Stamper's Hit Papers

Proceedings of the 7th International Conference on Educational Data Mining. 2014 · 581 citations
5810+4+8Years since publication100200300400500

Peers

John Stamper
Comparison fields: 5 of 101
  • Computer Science Applications 1.4k
  • Developmental and Educational Psychology 718
  • Health Informatics 54
  • Artificial Intelligence 1.3k
  • Software 80
Replace Chris Piech with:
Chris Piech United States
Arto Hellas Finland
Benedict du Boulay United Kingdom
Collin Lynch United States
Andrew Petersen Canada
‪Marcos Román-González‬ Spain
Sergey Sosnovsky United States
Barbara Ericson United States
Michelle Craig Canada
Pedro J. Muñoz‐Merino Spain
John Stamper relative to Chris Piech United States Chris Piech's profile →
Citations per field
00.5×1.7×
Chris Piech · 1×
Citations per year

Countries citing papers authored by John Stamper

Since Specialization
Citations

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

Fields of papers citing papers by John Stamper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Stamper, 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 John Stamper Line = papers co-authored together John Stamper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the 7th International Conference on Educational Data Mining.
Hit paper breakdown →
2014581
2 2008112
3 2013111
4 201385
5 201278
6 201776
7 201373
8 202268
9 201367
10
Automated Student Model Improvement
201264
11 201755
12 201150
13 202336
14
Automatic Hint Generation for Logic Proof Tutoring Using Historical Data
201035
15 202433
16
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing.
201133
17 201133
18 202330
19
A pilot study on logic proof tutoring using hints generated from historical student data.
200829
20 201626

About John Stamper

John Stamper is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Education and Information Systems, having authored 109 papers that have together received 2.2k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (61 papers), Online Learning and Analytics (53 papers), Innovative Teaching and Learning Methods (19 papers), AI-based Problem Solving and Planning (18 papers), Teaching and Learning Programming (16 papers), Topic Modeling (14 papers), Educational Games and Gamification (9 papers) and Online and Blended Learning (6 papers). The work is most often cited by research in Computer Science Applications (1.4k citations), Developmental and Educational Psychology (718 citations), Health Informatics (54 citations), Artificial Intelligence (1.3k citations) and Software (80 citations). John Stamper has collaborated with scholars based in United States, Switzerland and New Zealand. Frequent co-authors include Tiffany Barnes, Manolis Mavrikis, Kenneth R. Koedinger, Michael Eagle, Elizabeth A. McLaughlin, Steven Moore, Huy A. Nguyen, Ryan S. Baker, Marie Bienkowski and Shuchi Grover. Their work appears in journals such as Lecture notes in computer science, International Journal of Artificial Intelligence in Education, Journal of Learning Analytics, Journal of Computer Assisted Learning and ACM Transactions on Computing 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.

Explore authors with similar magnitude of impact