John A. Self

1.7k citations
51 papers · 1.3k · h-index 19

Impact in

Papers in

John A. Self

49 papers receiving 1.1k citations

Peers

John A. Self
Comparison fields: 5 of 87
  • Computer Science Applications 408
  • Developmental and Educational Psychology 524
  • Artificial Intelligence 796
  • Human Factors and Ergonomics 19
  • Education 220
Replace Collin F. Lynch with:
Collin F. Lynch United States
Matthew Berland United States
Chih‐Yueh Chou Taiwan
Diego Zapata‐Rivera United States
Stephan Weibelzahl Ireland
Paul Brna United Kingdom
Rosa María Carro Salas Spain
Maria Grigoriadou Greece
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Citations per year

Countries citing papers authored by John A. Self

Since Specialization
Citations

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

Fields of papers citing papers by John A. Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside John A. Self, 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 A. Self Line = papers co-authored together John A. Self links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The defining characteristics of intelligent tutoring systems research: ITSs care, precisely
1998179
2 1974127
3
Learning and Teaching with Computers
1983118
4 199463
5
Artificial Intelligence and Human Learning: Intelligent Computer-Aided Instruction
198859
6
Theoretical foundations for intelligent tutoring systems
199059
7 200155
8 199254
9 199252
10
System Intelligence in Constructivist Learning
200050
11
Learning and teaching with computers : artificial intelligence in education
198348
12 200243
13 199235
14 198631
15 200428
16 198526
17 199221
18 200021
19 200219
20 199018

About John A. Self

John A. Self is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Cognitive Neuroscience and Software, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (25 papers), Semantic Web and Ontologies (11 papers), Innovative Teaching and Learning Methods (10 papers), Multi-Agent Systems and Negotiation (9 papers), AI-based Problem Solving and Planning (7 papers), Online Learning and Analytics (5 papers), Cognitive Science and Education Research (5 papers) and Logic, Reasoning, and Knowledge (3 papers). The work is most often cited by research in Computer Science Applications (408 citations), Developmental and Educational Psychology (524 citations), Artificial Intelligence (796 citations), Human Factors and Ergonomics (19 citations) and Education (220 citations). John A. Self has collaborated with scholars based in United Kingdom, Brazil and Ghana. Frequent co-authors include Pierre Dillenbourg, Tim O’Shea, Vania Gatseva Dimitrova, Paul Brna, Patricia Cabral de Azevedo Restelli Tedesco, Ana Paiva, Geoff Cumming, Michael Bernard Twidale, Thierry Chanier and Lúcia Maria Martins Giraffa. Their work appears in journals such as Instructional Science, Lecture notes in computer science, Artificial Intelligence, Communications of the ACM and Educational Review.

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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