David Fonseca

3.7k citations
165 papers · 1.9k · h-index 25

Impact in

Papers in

David Fonseca

152 papers receiving 1.8k citations

Peers

David Fonseca
Comparison fields: 5 of 112
  • Human-Computer Interaction 534
  • Computer Science Applications 502
  • Geology 146
  • Developmental and Educational Psychology 320
  • Computer Vision and Pattern Recognition 517
Replace Mary Lou Maher with:
Mary Lou Maher United States
Ernesto Redondo Domínguez Spain
Jorge Martín‐Gutiérrez Spain
Kim Halskov Denmark
José Luis Saorín Spain
Mark D. Gross United States
Sheryl Sorby United States
Julie Linsey United States
Panagiotis Petridis United Kingdom
Andrew Vande Moere Belgium
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Citations per field
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Mary Lou Maher · 1×
Citations per year

Countries citing papers authored by David Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by David Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Fonseca, 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 Fonseca Line = papers co-authored together David Fonseca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013199
2 201472
3 201861
4 201455
5 201553
6 201750
7 201847
8 201341
9 202040
10 201740
11 201440
12 202039
13 201438
14 201734
15 202232
16 201632
17 202130
18 202130
19 202130
20 202129

About David Fonseca

David Fonseca is a scholar working on Computer Science Applications, Information Systems, Computer Vision and Pattern Recognition, Human-Computer Interaction and Education, having authored 165 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (37 papers), Augmented Reality Applications (37 papers), E-Learning and Knowledge Management (36 papers), Online Learning and Analytics (23 papers), Educational Innovations and Technology (21 papers), Spatial Cognition and Navigation (16 papers), Architecture, Art, Education (14 papers) and Educational Games and Gamification (14 papers). The work is most often cited by research in Human-Computer Interaction (534 citations), Computer Science Applications (502 citations), Geology (146 citations), Developmental and Educational Psychology (320 citations) and Computer Vision and Pattern Recognition (517 citations). David Fonseca has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Ernesto Redondo Domínguez, Isidro Navarro, Alberto Sánchez Riera, Sergi Villagrasa, Daniel Amo-Filvà, Francisco José García‐Peñalvo, Núria Martí Audí, Francesc Valls Dalmau, Mónica V. Sanchez-Sepulveda and Marc Alier. Their work appears in journals such as Sensors, Sustainability, Applied Sciences, Computers in Human Behavior and International journal of engineering education.

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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