Clara Viegas

975 total citations
57 papers, 561 citations indexed

About

Clara Viegas is a scholar working on Media Technology, Biomedical Engineering and Education. According to data from OpenAlex, Clara Viegas has authored 57 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Media Technology, 22 papers in Biomedical Engineering and 15 papers in Education. Recurrent topics in Clara Viegas's work include Experimental Learning in Engineering (38 papers), Biomedical and Engineering Education (19 papers) and Engineering Education and Pedagogy (13 papers). Clara Viegas is often cited by papers focused on Experimental Learning in Engineering (38 papers), Biomedical and Engineering Education (19 papers) and Engineering Education and Pedagogy (13 papers). Clara Viegas collaborates with scholars based in Portugal, Spain and Sweden. Clara Viegas's co-authors include Gustavo R. Alves, Arcelina Marques, Natércia Lima, Ingvar Gustavsson, Cristina Costa-Lobo, André Fidalgo, Francisco José García‐Peñalvo, João Rocha, Javier García-Zubía and Delberis A. Lima and has published in prestigious journals such as Computers & Education, Sustainability and Research in Science Education.

In The Last Decade

Clara Viegas

56 papers receiving 527 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clara Viegas Portugal 13 432 193 149 113 96 57 561
Euan Lindsay Australia 15 573 1.3× 168 0.9× 227 1.5× 64 0.6× 146 1.5× 68 731
Jan Machotka Australia 9 568 1.3× 135 0.7× 103 0.7× 52 0.5× 189 2.0× 26 632
André Fidalgo Portugal 10 261 0.6× 96 0.5× 70 0.5× 59 0.5× 107 1.1× 51 384
Juarez Bento da Silva Brazil 9 250 0.6× 53 0.3× 98 0.7× 61 0.5× 57 0.6× 99 414
Félix García-Loro Spain 12 210 0.5× 62 0.3× 90 0.6× 187 1.7× 64 0.7× 68 398
Olga Dziabenko Spain 11 189 0.4× 48 0.2× 70 0.5× 68 0.6× 52 0.5× 44 315
Svana Esche United States 4 232 0.5× 71 0.4× 107 0.7× 27 0.2× 27 0.3× 10 311
Dominik May Germany 11 212 0.5× 85 0.4× 166 1.1× 57 0.5× 25 0.3× 69 384
Natércia Lima Portugal 9 181 0.4× 74 0.4× 57 0.4× 50 0.4× 32 0.3× 24 234
Claudius Terkowsky Germany 12 236 0.5× 95 0.5× 181 1.2× 55 0.5× 17 0.2× 49 351

Countries citing papers authored by Clara Viegas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Clara Viegas

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Viegas. A scholar is included among the top collaborators of Clara Viegas 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 Clara Viegas. Clara Viegas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Viegas, Clara, et al.. (2025). Dropout Rate Model Analysis at an Engineering School. Education Sciences. 15(3). 287–287. 1 indexed citations
2.
Lima, Natércia, et al.. (2024). Critical minds: enhancing education with ChatGPT. Cogent Education. 11(1). 2 indexed citations
3.
Viegas, Clara, et al.. (2023). Engineering Students’ Perception on Self-Efficacy in Pre and Post Pandemic Phase. Sustainability. 15(12). 9538–9538. 4 indexed citations
4.
Viegas, Clara, Natércia Lima, Gustavo R. Alves, et al.. (2023). VISIR+ Project Follow-up after four years: Educational and research impact. 1 indexed citations
5.
Viegas, Clara, Arcelina Marques, & Gustavo R. Alves. (2020). Engineering Education: Professional Demands. 47. 75–77. 1 indexed citations
6.
Lima, Natércia, Clara Viegas, & Francisco José García‐Peñalvo. (2019). Different Didactical Approaches Using a Remote Lab: Identification of Impact Factors. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 14(3). 76–86. 15 indexed citations
7.
Viegas, Clara, Natércia Lima, Arcelina Marques, et al.. (2018). Impact of a remote lab on teaching practices and student learning. Computers & Education. 126. 201–216. 84 indexed citations
8.
Lima, Natércia, Clara Viegas, Arcelina Marques, Gustavo R. Alves, & Francisco José García‐Peñalvo. (2018). Macro Analysis on how to Potentiate Experimental Competences Using VISIR. 624–632. 3 indexed citations
9.
Lima, Natércia, Clara Viegas, Arcelina Marques, et al.. (2017). Do Students Really Understand the Difference Between Simulation and Remote Labs?. 1–10. 6 indexed citations
10.
Lima, Natércia, Clara Viegas, & Francisco José García‐Peñalvo. (2017). Learning from complementary ways of developing experimental competences. Education in the Knowledge Society (EKS). 18(1). 63–74. 4 indexed citations
11.
Viegas, Clara, Gustavo R. Alves, & Natércia Lima. (2015). Formative assessment diversity to foster students engagement. 929–935. 9 indexed citations
12.
Alves, Gustavo R., Clara Viegas, Arcelina Marques, et al.. (2013). Impact of different Moodle Course Designs on Students' Performance. International Journal of Engineering Pedagogy (iJEP). 3(S2). 18–18. 3 indexed citations
13.
Marques, Arcelina, et al.. (2013). Managing Informal Learning in Higher Education Contexts: the learners’ perspective. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 233–238. 3 indexed citations
14.
Viegas, Clara, Arcelina Marques, Gustavo R. Alves, & Cristina Costa-Lobo. (2012). Engaging students by Moodleing a Course? Case studies at the Polytechnic of Porto â?? School of Engineering. International Journal of Engineering Pedagogy (iJEP). 2(3). 40–40. 7 indexed citations
15.
Tawfik, Mohamed, Elio Sancristobal, Sergio Martín, et al.. (2012). VISIR: Experiences and Challenges. International Journal of Online and Biomedical Engineering (iJOE). 8(1). 25–25. 29 indexed citations
16.
Alves, Gustavo R., Arcelina Marques, Clara Viegas, & Cristina Costa-Lobo. (2012). Structuring and moodleing a course: Case studies at the polytechnic of Porto - School of engineering. 1–7. 2 indexed citations
17.
Viegas, Clara, Arcelina Marques, Cristina Costa-Lobo, et al.. (2011). On the use of VISIR under different course implementations. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 4 indexed citations
18.
Alves, Gustavo R., Arcelina Marques, Clara Viegas, et al.. (2011). Using remote experimentation in a large undergraduate course: Initial findings. S4G–1. 15 indexed citations
19.
Alves, Gustavo R., Arcelina Marques, Clara Viegas, et al.. (2011). Using VISIR in a Large Undergraduate Course: Preliminary Assessment Results. International Journal of Engineering Pedagogy (iJEP). 1(1). 12–12. 5 indexed citations
20.
Lopes, J. Bernardino, Clara Viegas, & José Cravino. (2010). Improving the learning of physics and development of competences in engineering students. International journal of engineering education. 26(3). 612–627. 10 indexed citations

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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