David Checa
Impact in
- Human-Computer Interaction top 0.5%
- Virtual Reality Applications and Impacts
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- Educational Games and Gamification
Papers in
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- Virtual Reality Applications and Impacts 18
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- Augmented Reality Applications 8
- Advanced Vision and Imaging 3
- Co-authors
- Andrés Bustillo (23 shared papers)Lucio Tommaso De Paolis (2 shared papers)Roque A. Osornio‐Rios (6 shared papers)Juan José Saucedo-Dorantes (3 shared papers)Carola Gatto (1 shared paper)Jose A. Antonino‐Daviu (3 shared papers)Luís Norberto López de Lacalle (1 shared paper)Gorka Urbikaín (1 shared paper)
In The Last Decade
David Checa
29 papers receiving 908 citations
David Checa's Hit Papers
Peers
Comparison fields: 5 of 103
- Human-Computer Interaction 526
- Developmental and Educational Psychology 256
- Geology 93
- Computer Vision and Pattern Recognition 296
- Computer Science Applications 45
Countries citing papers authored by David Checa
This map shows the geographic impact of David Checa'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 Checa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Checa more than expected).
Fields of papers citing papers by David Checa
This network shows the impact of papers produced by David Checa. 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 Checa. The network helps show where David Checa may publish in the future.
Co-authors
The 9 scholars most cited alongside David Checa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of immersive virtual reality serious games to enhance learning and training Hit paper breakdown → | 2019 | 471 |
| 2 | 2019 | 84 | |
| 3 | 2021 | 75 | |
| 4 | Evaluation of the novelty effect in immersive Virtual Reality learning experiences Hit paper breakdown → | 2024 | 58 |
| 5 | 2023 | 57 | |
| 6 | 2024 | 36 | |
| 7 | 2020 | 26 | |
| 8 | 2022 | 21 | |
| 9 | 2024 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2016 | 12 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About David Checa
David Checa is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Geology, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 30 papers that have together received 939 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (18 papers), Augmented Reality Applications (8 papers), 3D Surveying and Cultural Heritage (7 papers), Educational Games and Gamification (5 papers), Visual and Cognitive Learning Processes (4 papers), Advanced Vision and Imaging (3 papers), Industrial Vision Systems and Defect Detection (3 papers) and Conservation Techniques and Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (526 citations), Developmental and Educational Psychology (256 citations), Geology (93 citations), Computer Vision and Pattern Recognition (296 citations) and Computer Science Applications (45 citations). David Checa has collaborated with scholars based in Spain, Mexico and Italy. Frequent co-authors include Andrés Bustillo, Lucio Tommaso De Paolis, Roque A. Osornio‐Rios, Juan José Saucedo-Dorantes, Carola Gatto, Jose A. Antonino‐Daviu, Luís Norberto López de Lacalle, Gorka Urbikaín and Irving A. Cruz-Albarrán. Their work appears in journals such as Virtual Reality, Electronics, Multimedia Tools and Applications, Applied Sciences and Current topics in behavioral neurosciences.
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.