David Arnau

488 citations
33 papers · 314 indexed · h-index 11

David Arnau

30 papers receiving 293 citations

Peers

David Arnau
Comparison fields: 5 of 43
  • Computer Science Applications 103
  • Developmental and Educational Psychology 95
  • Artificial Intelligence 154
  • Statistics and Probability 38
  • Experimental and Cognitive Psychology 42
Replace S. Klinkenberg with:
S. Klinkenberg Netherlands
Peida Zhan China
C.A.N. Knoop-van Campen Netherlands
Dovan Rai United States
Yusuke Hayashi Japan
Minghui Tai United States
Jürgen Heller Germany
Harri Ketamo Finland
Thiago Barcelos Brazil
Boglárka Brezovszky Finland
David Arnau relative to S. Klinkenberg Netherlands S. Klinkenberg's profile →
Citations per field
00.5×2.8×
S. Klinkenberg · 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-authorship network

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
#Work
1 20241
2 20234
3 202310
4 202219
5 202220
6 20221
7 20222
8 20197
9 20195
10
La resolución de problemas matemáticos en primeras edades escolares con Bee-bot
20183
11
Una herramienta de análisis de los accesos al número propuestos en los libros de texto de infantil
20181
12 201812
13 201825
14 201812
15 20173
16 201711
17 20152
18
Providing Personalized Guidance in Arithmetic Problem Solving
20147
19 201416
20
Towards Enriching an ITS with Affective Support.
20135

About David Arnau

David Arnau is a scholar working on Neuropsychology and Physiological Psychology, Computer Science Applications, Developmental and Educational Psychology, Statistics and Probability and Artificial Intelligence, having authored 33 papers that have together received 314 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (19 papers), Innovative Teaching and Learning Methods (13 papers), Online Learning and Analytics (6 papers), Mathematics Education and Teaching Techniques (6 papers), Cognitive and developmental aspects of mathematical skills (5 papers), Educational Games and Gamification (5 papers), Teaching and Learning Programming (4 papers) and Visual and Cognitive Learning Processes (3 papers). The work is most often cited by research in Computer Science Applications (103 citations), Developmental and Educational Psychology (95 citations), Artificial Intelligence (154 citations), Statistics and Probability (38 citations) and Experimental and Cognitive Psychology (42 citations). David Arnau has collaborated with scholars based in Spain and United States. Frequent co-authors include Miguel Arevalillo‐Herráez, José Antonio González‐Calero, Luis Puig, Pascual D. Diago, Javier del Olmo‐Muñoz, Olga C. Santos, Francesc J. Ferri, Sergio Tirado‐Olivares, Jesús G. Boticario and J. Gutiérrez–Soto. Their work appears in journals such as British Journal of Educational Technology, IEEE Transactions on Learning Technologies, 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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