Clara Viegas
Impact in
- Media Technology top 1%
- Experimental Learning in Engineering
- Architecture top 1%
- Engineering Education and Pedagogy
Papers in
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- Experimental Learning in Engineering 29
- Engineering Education and Curriculum Development 9
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- Biomedical and Engineering Education 18
- Co-authors
- Gustavo R. Alves (38 shared papers)Natércia Lima (19 shared papers)Arcelina Marques (24 shared papers)Ingvar Gustavsson (8 shared papers)Francisco José García‐Peñalvo (12 shared papers)Cristina Costa-Lobo (6 shared papers)André Fidalgo (8 shared papers)Delberis A. Lima (1 shared paper)
In The Last Decade
Clara Viegas
47 papers receiving 417 citations
Peers
Comparison fields: 5 of 53
- Media Technology 324
- Architecture 52
- Computer Science Applications 92
- Hardware and Architecture 45
- Education 126
Countries citing papers authored by Clara Viegas
This map shows the geographic impact of Clara Viegas'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 Clara Viegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Viegas more than expected).
Fields of papers citing papers by Clara Viegas
This network shows the impact of papers produced by Clara Viegas. 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 Clara Viegas. The network helps show where Clara Viegas may publish in the future.
Co-authors
The 25 scholars most cited alongside Clara Viegas, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2011 | 56 | |
| 3 | 2012 | 29 | |
| 4 | 2016 | 23 | |
| 5 | 2014 | 16 | |
| 6 | 2011 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2011 | 15 | |
| 9 | 2013 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2017 | 12 | |
| 12 | Improving the learning of physics and development of competences in engineering students | 2010 | 10 |
| 13 | 2011 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2012 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2013 | 6 |
About Clara Viegas
Clara Viegas is a scholar working on Media Technology, Biomedical Engineering, Education, Computer Science Applications and Architecture, having authored 48 papers that have together received 443 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (29 papers), Biomedical and Engineering Education (18 papers), Engineering Education and Pedagogy (11 papers), E-Learning and Knowledge Management (11 papers), Engineering Education and Curriculum Development (9 papers), Advanced MEMS and NEMS Technologies (5 papers), Innovative Teaching and Learning Methods (3 papers) and Mechatronics Education and Applications (3 papers). The work is most often cited by research in Media Technology (324 citations), Architecture (52 citations), Computer Science Applications (92 citations), Hardware and Architecture (45 citations) and Education (126 citations). Clara Viegas has collaborated with scholars based in Portugal, Spain and Sweden. Frequent co-authors include Gustavo R. Alves, Natércia Lima, Arcelina Marques, Ingvar Gustavsson, Francisco José García‐Peñalvo, Cristina Costa-Lobo, André Fidalgo, Delberis A. Lima, Guilherme P. Temporão and Carlos Ramos. Their work appears in journals such as International Journal of Human Capital and Information Technology Professionals, International journal of engineering education, Sustainability, Research in Science Education and Computers & 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.