John Self

1.7k citations
50 papers · 1.1k · h-index 18

Impact in

Papers in

John Self

47 papers receiving 928 citations

Peers

John Self
Comparison fields: 5 of 87
  • Computer Science Applications 322
  • Developmental and Educational Psychology 444
  • Artificial Intelligence 638
  • Human Factors and Ergonomics 21
  • Human-Computer Interaction 44
Replace Chih‐Yueh Chou with:
Chih‐Yueh Chou Taiwan
Rosa M. Carro Spain
Bruce M. McLaren Germany
Diego Zapata‐Rivera United States
Matthew Berland United States
Oliver Scheuer Germany
Collin Lynch United States
Miloš Kravčík Germany
Malcolm Bauer United States
Iris Howley United States
John Self relative to Chih‐Yueh Chou Taiwan Chih‐Yueh Chou's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by John Self

Since Specialization
Citations

This map shows the geographic impact of John 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 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 Self more than expected).

Fields of papers citing papers by John Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974126
2
Learning and Teaching with Computers
1983119
3 199464
4
Artificial Intelligence and Human Learning: Intelligent Computer-Aided Instruction
198858
5
Theoretical foundations for intelligent tutoring systems
199057
6 200156
7 199252
8
System Intelligence in Constructivist Learning
200051
9 199250
10
Learning and teaching with computers : artificial intelligence in education
198348
11 200245
12 199235
13 198629
14 198528
15 200022
16 200220
17 199220
18 199019
19 200016
20
Intelligent knowledge-based systems : an introduction
198715

About John Self

John Self is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Cognitive Neuroscience and Social Psychology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (24 papers), Innovative Teaching and Learning Methods (10 papers), Semantic Web and Ontologies (10 papers), AI-based Problem Solving and Planning (6 papers), Multi-Agent Systems and Negotiation (6 papers), Cognitive Science and Education Research (5 papers), Online Learning and Analytics (5 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Computer Science Applications (322 citations), Developmental and Educational Psychology (444 citations), Artificial Intelligence (638 citations), Human Factors and Ergonomics (21 citations) and Human-Computer Interaction (44 citations). John Self has collaborated with scholars based in United Kingdom, Ghana and Brazil. Frequent co-authors include Pierre Dillenbourg, Tim O’Shea, Vania Dimitrova, Paul Brna, Patrícia Tedesco, Ana Paiva, Geoff Cumming, Thierry Chanier, Michael B. Twidale and Lúcia Maria Martins Giraffa. Their work appears in journals such as Instructional Science, Lecture notes in computer science, Journal of Computer Assisted Learning, Software Practice and Experience and Robotica.

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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