D. Sleeman

478 citations
14 papers · 298 · h-index 8

Impact in

Papers in

D. Sleeman

14 papers receiving 258 citations

Peers

D. Sleeman
Comparison fields: 5 of 43
  • Computer Science Applications 114
  • Developmental and Educational Psychology 96
  • Artificial Intelligence 182
  • Software 14
  • Information Systems 56
Replace Jonathan Sewall with:
Jonathan Sewall United States
Elissavet Georgiadou Greece
Alberto Piatti Switzerland
Michael A. Sao Pedro United States
Masaki Uto Japan
Daria Bogdanova Belgium
Amali Weerasinghe Australia
Lynn Lambert United States
Andrea Horbach Germany
Tom Naps United States
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Citations per field
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Citations per year

Countries citing papers authored by D. Sleeman

Since Specialization
Citations

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

Fields of papers citing papers by D. Sleeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside D. Sleeman, 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 D. Sleeman Line = papers co-authored together D. Sleeman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 198673
2 198967
3 198561
4
Pixie: a shell for developing intelligent tutoring systems
198734
5 201212
6
Inferring (Mal) Rules from Pupil's Protocols.
19829
7
User modelling panel
19859
8 19899
9 19887
10
Intelligent Tutoring Systems: A Review.
19847
11
Some challenges for intelligent tutoring systems
19876
12
Knowledge Life-Cycle Management over a Distributed Architecture
20022
13
Symbiotic relationships between semantic web and knowledge engineering : Papers from the AAAI Spring Symposium
20081
14
Proceedings of the Workshop on Knowledge Transformation for the Semantic Web KTSW 2002
20021

About D. Sleeman

D. Sleeman is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Education and Developmental and Educational Psychology, having authored 14 papers that have together received 298 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (8 papers), Semantic Web and Ontologies (3 papers), Advanced Database Systems and Queries (2 papers), Innovative Teaching and Learning Methods (2 papers), Online and Blended Learning (1 paper), Business Process Modeling and Analysis (1 paper), Technology Use by Older Adults (1 paper) and Science Education and Pedagogy (1 paper). The work is most often cited by research in Computer Science Applications (114 citations), Developmental and Educational Psychology (96 citations), Artificial Intelligence (182 citations), Software (14 citations) and Information Systems (56 citations). D. Sleeman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Juliet A. Baxter, Ralph T. Putnam, James L. Moore, Robert Ward, Anthony Kelly, Joi L. Moore, Kurt Konolige, William Swartout, N. S. Sridharan and Elaine Rich. Their work appears in journals such as Cognitive Science, Journal of Educational Computing Research, Lecture notes in computer science, International Journal of Man-Machine Studies and European Conference on Artificial Intelligence.

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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