David Arnau

508 citations
38 papers · 394 · h-index 13

Impact in

Papers in

David Arnau

36 papers receiving 370 citations

Peers

David Arnau
Comparison fields: 5 of 52
  • Computer Science Applications 137
  • Developmental and Educational Psychology 118
  • Artificial Intelligence 199
  • Experimental and Cognitive Psychology 64
  • Statistics and Probability 39
Replace George Goguadze with:
George Goguadze Germany
S. Klinkenberg Netherlands
Peida Zhan China
C.A.N. Knoop-van Campen Netherlands
Marthe Straatemeier Netherlands
Yusuke Hayashi Japan
Minghui Tai United States
Judith ter Vrugte Netherlands
Dovan Rai United States
Dimitra Tsovaltzi Germany
David Arnau relative to George Goguadze Germany George Goguadze's profile →
Citations per field
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George Goguadze · 1×
Citations per year

Countries citing papers authored by David Arnau

Since Specialization
Citations

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

Fields of papers citing papers by David Arnau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201249
2 201342
3 201432
4 201525
5 202224
6 201824
7 202219
8 201419
9 202316
10 201515
11 201715
12 201814
13 201812
14 202212
15 202312
16 20197
17
Providing Personalized Guidance in Arithmetic Problem Solving
20147
18 20126
19
Towards Enriching an ITS with Affective Support.
20135
20 20195

About David Arnau

David Arnau is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Education, Computer Science Applications and Experimental and Cognitive Psychology, having authored 38 papers that have together received 394 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (23 papers), Innovative Teaching and Learning Methods (14 papers), Mathematics Education and Teaching Techniques (6 papers), AI-based Problem Solving and Planning (6 papers), Online Learning and Analytics (6 papers), Educational Games and Gamification (5 papers), Teaching and Learning Programming (5 papers) and Cognitive and developmental aspects of mathematical skills (5 papers). The work is most often cited by research in Computer Science Applications (137 citations), Developmental and Educational Psychology (118 citations), Artificial Intelligence (199 citations), Experimental and Cognitive Psychology (64 citations) and Statistics and Probability (39 citations). David Arnau has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Miguel Arevalillo‐Herráez, José Antonio González‐Calero, Luis Puig, Pascual D. Diago, Javier del Olmo‐Muñoz, Olga C. Santos, Jesús G. Boticario, Francesc J. Ferri, Sergio Tirado‐Olivares and Aladdin Ayesh. Their work appears in journals such as IEEE Transactions on Learning Technologies, British Journal of Educational Technology, Educational Studies in Mathematics, Knowledge-Based Systems and ZDM.

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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