Marta Peña

36 papers receiving 312 citations

Marta Peña's Hit Papers

Academic and emotional effects of online learning during the COVID-19 pandemic on engineering students 2021 · 126 citations
1260+1+3Years since publication4080120

Peers

Marta Peña
Comparison fields: 5 of 81
  • Computer Science Applications 48
  • Architecture 7
  • Safety, Risk, Reliability and Quality 35
  • Clinical Psychology 61
  • Media Technology 26
Replace Surina He with:
Surina He Canada
Hanxiang Du United States
Andrew W. Swift United States
Richard Glassey Sweden
Po-Hsi Chen Taiwan
Aldo Ramírez-Arellano Mexico
W. Steijn Netherlands
Sara L. Lopes Portugal
John J. H. Lin Taiwan
Bo Pei United States
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Citations per year

Countries citing papers authored by Marta Peña

Since Specialization
Citations

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

Fields of papers citing papers by Marta Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Marta Peña, 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 Marta Peña Line = papers co-authored together Marta Peña links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Academic and emotional effects of online learning during the COVID-19 pandemic on engineering students
Hit paper breakdown →
2021126
2 202326
3 202114
4 202113
5 202013
6 202412
7 202512
8 202410
9 20219
10 20248
11 20237
12 20207
13 20236
14 20226
15 20106
16 20225
17 20245
18 20204
19 20204
20 20104

About Marta Peña

Marta Peña is a scholar working on Education, Media Technology, Geometry and Topology, Control and Systems Engineering and Mathematical Physics, having authored 44 papers that have together received 329 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (8 papers), Advanced Differential Equations and Dynamical Systems (8 papers), Engineering Education and Curriculum Development (7 papers), Stability and Control of Uncertain Systems (5 papers), Online Learning and Analytics (5 papers), Career Development and Diversity (4 papers), Advanced Algebra and Geometry (4 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Computer Science Applications (48 citations), Architecture (7 citations), Safety, Risk, Reliability and Quality (35 citations), Clinical Psychology (61 citations) and Media Technology (26 citations). Marta Peña has collaborated with scholars based in Spain, Ecuador and Germany. Frequent co-authors include Noelia Olmedo Torre, Ana Inés Renta Davids, Elisabet Mas de les Valls Ortiz, Antoni Hernández-Fernändez, Amaia Lusa, R. Castilla, Pedro Javier Gamez-Montero, Jordi Serra, María Martínez Martínez and Josep‐María Ribera. Their work appears in journals such as Computer Applications in Engineering Education, Linear Algebra and its Applications, International Journal of Bifurcation and Chaos, Sustainability and Mathematical Methods in the Applied Sciences.

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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