Marta Arguedas

478 citations
25 papers · 318 · h-index 11

Impact in

Papers in

Marta Arguedas

25 papers receiving 307 citations

Peers

Marta Arguedas
Comparison fields: 5 of 49
  • Computer Science Applications 120
  • Developmental and Educational Psychology 92
  • Health Informatics 7
  • Education 97
  • Experimental and Cognitive Psychology 37
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Citations per field
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Citations per year

Countries citing papers authored by Marta Arguedas

Since Specialization
Citations

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

Fields of papers citing papers by Marta Arguedas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Marta Arguedas, 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 Arguedas Line = papers co-authored together Marta Arguedas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analyzing How Emotion Awareness Influences Students' Motivation, Engagement, Self-Regulation and Learning Outcome
201662
2 201840
3 201634
4 202121
5 202420
6 201620
7 202319
8
Cultivating Students’ Reflective Learning in Metacognitive Activities through an Affective Pedagogical Agent
202013
9 201512
10 202411
11 202110
12 20149
13 20137
14 20137
15 20216
16 20225
17 20165
18 20243
19 20193
20 20213

About Marta Arguedas

Marta Arguedas is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Artificial Intelligence, Education and Experimental and Cognitive Psychology, having authored 25 papers that have together received 318 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (14 papers), Online Learning and Analytics (12 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Online and Blended Learning (4 papers), Emotion and Mood Recognition (4 papers), Teaching and Learning Programming (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Learning Styles and Cognitive Differences (2 papers). The work is most often cited by research in Computer Science Applications (120 citations), Developmental and Educational Psychology (92 citations), Health Informatics (7 citations), Education (97 citations) and Experimental and Cognitive Psychology (37 citations). Marta Arguedas has collaborated with scholars based in Spain, Greece and Mexico. Frequent co-authors include Τhanasis Daradoumis, Fatos Xhafa, Joan Manuel Marquès Puig, Laura Calvet, Santi Caballé, Adriana Peña Pérez Negrón, Jordi Conesa, Enric Mor, Joan Manuel Marquès and Panos Kotsampopoulos. Their work appears in journals such as Journal of Computer Assisted Learning, British Journal of Educational Technology, International Journal of Human-Computer Interaction, Internet of Things and Educational Technology Research and Development.

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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