Beatriz Añorbe Díaz
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Education top 10%
- Developmental and Educational Psychology top 10%
- Topics
- Biomedical and Engineering Education (2 papers)Problem and Project Based Learning (2 papers)Engineering Education and Curriculum Development (2 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionDevelopmental and Educational Psychology
- Journals
- Eurasia Journal of Mathematics Science and Technology EducationInternational journal of engineering educationProcedia Computer Science
- Partner nations
- Spain
In The Last Decade
Beatriz Añorbe Díaz
6 papers receiving 477 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Human-Computer Interaction 217
- Computer Vision and Pattern Recognition 166
- Information Systems 140
- Education 121
- Developmental and Educational Psychology 99
Countries citing papers authored by Beatriz Añorbe Díaz
This map shows the geographic impact of Beatriz Añorbe Díaz'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 Beatriz Añorbe Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Añorbe Díaz more than expected).
Fields of papers citing papers by Beatriz Añorbe Díaz
This network shows the impact of papers produced by Beatriz Añorbe Díaz. 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 Beatriz Añorbe Díaz. The network helps show where Beatriz Añorbe Díaz may publish in the future.
Co-authorship network of co-authors of Beatriz Añorbe Díaz
This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Añorbe Díaz. A scholar is included among the top collaborators of Beatriz Añorbe Díaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beatriz Añorbe Díaz. Beatriz Añorbe Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Motivational factors to consider when introducing problem-based learning in engineering education courses | 11 |
| 2 | 14 | |
| 3 | Virtual Technologies Trends in Educationbreakdown → | 468 |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 16 |
About Beatriz Añorbe Díaz
Beatriz Añorbe Díaz is a scholar working on Media Technology, Computer Science Applications and Information Systems, having authored 6 papers that have together received 513 indexed citations. Recurring topics across this work include Biomedical and Engineering Education (2 papers), Problem and Project Based Learning (2 papers) and Engineering Education and Curriculum Development (2 papers). The work is most often cited by research in Human-Computer Interaction (217 citations), Computer Vision and Pattern Recognition (166 citations) and Developmental and Educational Psychology (99 citations). Beatriz Añorbe Díaz has collaborated with scholars based in Spain. Frequent co-authors include Carlos Efrén Mora Luis, Jorge Martín‐Gutiérrez and Brett D. Jones. Their work appears in journals such as Eurasia Journal of Mathematics Science and Technology Education, International journal of engineering education and Procedia Computer Science.
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.