Eduardo Cascallar

2.8k total citations · 2 hit papers
29 papers, 1.8k citations indexed

About

Eduardo Cascallar is a scholar working on Education, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Eduardo Cascallar has authored 29 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 10 papers in Developmental and Educational Psychology and 8 papers in Computer Science Applications. Recurrent topics in Eduardo Cascallar's work include Online Learning and Analytics (8 papers), Innovative Teaching and Learning Methods (8 papers) and Online and Blended Learning (4 papers). Eduardo Cascallar is often cited by papers focused on Online Learning and Analytics (8 papers), Innovative Teaching and Learning Methods (8 papers) and Online and Blended Learning (4 papers). Eduardo Cascallar collaborates with scholars based in Belgium, Argentina and United States. Eduardo Cascallar's co-authors include Monique Boekaerts, Filip Dochy, Eva Kyndt, Carlos Felipe Rodríguez-Hernández, Mariel Musso, Mien Segers, Elisabeth Raes, Katrien Struyven, G. Nickmans and Rolf Wiesemes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Educational Psychology Review and Higher Education.

In The Last Decade

Eduardo Cascallar

28 papers receiving 1.7k citations

Hit Papers

A meta-analysis of the effects of face-to-face cooperativ... 2013 2026 2017 2021 2013 2019 100 200 300

Peers

Eduardo Cascallar
Esther Care Australia
Zi Yan Hong Kong
Bas Giesbers Netherlands
Ruth Deakin Crick United States
Seng Chee Tan Singapore
Sean Kelly United States
Piia Näykki Finland
Kendall Hartley United States
Myint Swe Khine United Arab Emirates
Esther Care Australia
Eduardo Cascallar
Citations per year, relative to Eduardo Cascallar Eduardo Cascallar (= 1×) peers Esther Care

Countries citing papers authored by Eduardo Cascallar

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Cascallar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Cascallar

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Cascallar. A scholar is included among the top collaborators of Eduardo Cascallar 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 Eduardo Cascallar. Eduardo Cascallar 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.
Webb, Andrew, et al.. (2024). Teacher's social desirability bias and Migrant students: A study on explicit and implicit prejudices with a list experiment. Social Science Research. 119. 102990–102990. 2 indexed citations
3.
Quesada‐Pallarès, Carla, et al.. (2022). Intention to Transfer and Transfer Following eLearning in Spain. Vocations and Learning. 15(2). 359–385. 8 indexed citations
4.
Boekaerts, Monique, Mariel Musso, & Eduardo Cascallar. (2022). Predicting attribution of letter writing performance in secondary school: A machine learning approach. Frontiers in Education. 7. 1 indexed citations
5.
Musso, Mariel, Lina M. Cómbita, Eduardo Cascallar, & M. Rosario Rueda. (2022). Modeling the Contribution of Genetic Variation to Cognitive Gains Following Training with a Machine Learning Approach. Mind Brain and Education. 16(4). 300–317. 1 indexed citations
6.
Rodríguez-Hernández, Carlos Felipe, Mariel Musso, Eva Kyndt, & Eduardo Cascallar. (2021). Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation. Computers and Education Artificial Intelligence. 2. 100018–100018. 93 indexed citations
7.
Musso, Mariel, et al.. (2020). Identifying Reliable Predictors of Educational Outcomes Through Machine-Learning Predictive Modeling. Frontiers in Education. 5. 16 indexed citations
8.
Rodríguez-Hernández, Carlos Felipe, Eduardo Cascallar, & Eva Kyndt. (2019). Socio-economic status and academic performance in higher education: A systematic review. Educational Research Review. 29. 100305–100305. 149 indexed citations breakdown →
9.
Musso, Mariel, et al.. (2017). Validation of a Spanish version of the Remoralization Scale. Redalyc (Universidad Autónoma del Estado de México). 47(1). 1–8. 1 indexed citations
10.
Kyndt, Eva, Mariel Musso, Eduardo Cascallar, & Filip Dochy. (2015). Predicting academic performance: The role of cognition, motivation and learning approaches. A neural network analysis. Swinburne Research Bank (Swinburne University of Technology). 7 indexed citations
11.
Musso, Mariel, Eva Kyndt, Eduardo Cascallar, & Filip Dochy. (2013). Predicting general academic performance and identifying the differential contribution of participating variables using artificial neural networks. Frontline Learning Research. 1(1). 42 indexed citations
12.
Kyndt, Eva, Filip Dochy, Katrien Struyven, & Eduardo Cascallar. (2012). Looking at learning approaches from the angle of student profiles. Educational Psychology. 32(4). 493–513. 9 indexed citations
13.
Kyndt, Eva, Filip Dochy, Katrien Struyven, & Eduardo Cascallar. (2011). The direct and indirect effect of motivation for learning on students' approaches to learning through the perceptions of workload and task complexity. Higher Education Research & Development. 30(2). 135–150. 108 indexed citations
14.
Kyndt, Eva, Eduardo Cascallar, & Filip Dochy. (2011). Individual differences in working memory capacity and attention, and their relationship with students’ approaches to learning. Higher Education. 64(3). 285–297. 26 indexed citations
15.
Kyndt, Eva, Mariel Musso, Eduardo Cascallar, & Filip Dochy. (2011). Predicting academic performance in higher education: Role of cognitive, learning and motivation. 5 indexed citations
16.
Kyndt, Eva, Filip Dochy, Katrien Struyven, & Eduardo Cascallar. (2010). The perception of workload and task complexity and its influence on students’ approaches to learning: a study in higher education. European Journal of Psychology of Education. 26(3). 393–415. 79 indexed citations
17.
Boekaerts, Monique & Eduardo Cascallar. (2006). How Far Have We Moved Toward the Integration of Theory and Practice in Self-Regulation?. Educational Psychology Review. 18(3). 199–210. 394 indexed citations
18.
Birenbaum, Menucha, Klaus Breuer, Eduardo Cascallar, et al.. (2006). A learning Integrated Assessment System. Educational Research Review. 1(1). 61–67. 135 indexed citations
19.
Segers, Mien, Filip Dochy, & Eduardo Cascallar. (2003). Optimising New Modes of Assessment: In Search of Qualities and Standards. Kluwer Academic Publishers eBooks. 206 indexed citations
20.
Henning, Grant & Eduardo Cascallar. (1992). A PRELIMINARY STUDY OF THE NATURE OF COMMUNICATIVE COMPETENCE. ETS Research Report Series. 1992(1). 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026