Pilar Rodrı́guez

1.4k total citations
65 papers, 703 citations indexed

About

Pilar Rodrı́guez is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Pilar Rodrı́guez has authored 65 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Computer Science Applications and 22 papers in Developmental and Educational Psychology. Recurrent topics in Pilar Rodrı́guez's work include Intelligent Tutoring Systems and Adaptive Learning (20 papers), Innovative Teaching and Learning Methods (15 papers) and Online Learning and Analytics (13 papers). Pilar Rodrı́guez is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (20 papers), Innovative Teaching and Learning Methods (15 papers) and Online Learning and Analytics (13 papers). Pilar Rodrı́guez collaborates with scholars based in Spain, France and Netherlands. Pilar Rodrı́guez's co-authors include Pedro Paredes, Álvaro Ortigosa, Rosa M. Carro, Diana Pérez-Marín, Francisco Jurado, Enrique Alfonseca, G. M. Sacha, Manuel Freire, Bernardo Magnini and Alfio Gliozzo and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Water Science & Technology.

In The Last Decade

Pilar Rodrı́guez

58 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pilar Rodrı́guez Spain 16 317 256 234 205 124 65 703
María Lucía Barrón Estrada Mexico 15 272 0.9× 243 0.9× 201 0.9× 190 0.9× 125 1.0× 72 798
Eva Millán Spain 13 316 1.0× 281 1.1× 186 0.8× 132 0.6× 85 0.7× 24 576
Alexandros Paramythis Austria 9 170 0.5× 212 0.8× 134 0.6× 140 0.7× 63 0.5× 19 466
Konstantina Chrysafiadi Greece 15 458 1.4× 385 1.5× 213 0.9× 205 1.0× 87 0.7× 46 757
Benjamin D. Nye United States 10 264 0.8× 183 0.7× 159 0.7× 60 0.3× 70 0.6× 34 505
Qifan Yang China 14 217 0.7× 120 0.5× 176 0.8× 261 1.3× 164 1.3× 21 757
Daniel Spikol Sweden 16 97 0.3× 299 1.2× 349 1.5× 359 1.8× 230 1.9× 67 807
Brian M. Slator United States 14 322 1.0× 87 0.3× 139 0.6× 73 0.4× 106 0.9× 58 677
Stefano A. Cerri France 10 203 0.6× 85 0.3× 130 0.6× 101 0.5× 64 0.5× 69 514
Ursula Wolz United States 17 100 0.3× 526 2.1× 228 1.0× 190 0.9× 77 0.6× 81 747

Countries citing papers authored by Pilar Rodrı́guez

Since Specialization
Citations

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

Fields of papers citing papers by Pilar Rodrı́guez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pilar Rodrı́guez

This figure shows the co-authorship network connecting the top 25 collaborators of Pilar Rodrı́guez. A scholar is included among the top collaborators of Pilar Rodrı́guez 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 Pilar Rodrı́guez. Pilar Rodrı́guez 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.
Kloos, Carlos Delgado, et al.. (2017). Digital education in the classroom. 31–32. 9 indexed citations
2.
Jurado, Francisco, et al.. (2015). Influence of the students' learning strategy on the evaluation scores. 681–685. 1 indexed citations
3.
Santini, Simone, et al.. (2013). Designing videogames to improve students' motivation. Computers in Human Behavior. 31. 571–579. 50 indexed citations
4.
Santini, Simone, et al.. (2012). Interdisciplinary design of videogames: A highly motivating method of learning.. 1–6. 2 indexed citations
5.
Martínez, José‐Javier, et al.. (2011). E-Learning and Joomla.. International Journal for Technology in Mathematics Education. 18(3). 143–148. 3 indexed citations
6.
Brown, Brett & Pilar Rodrı́guez. (2009). Adolescents and Electronic Media: Growing up Plugged in. Research Brief. Publication #2009-29.. 6 indexed citations
7.
Pérez-Marín, Diana, et al.. (2009). Computer-assisted assessment of free-text answers. The Knowledge Engineering Review. 24(4). 353–374. 30 indexed citations
8.
Rodrı́guez, Pilar & Brett Brown. (2008). The School Environment and Adolescent Well-Being: Beyond Academics. Research Brief. Publication #2008-26.. 8 indexed citations
9.
Pérez-Marín, Diana, et al.. (2008). Natural Language Processing meets User Modeling for automatic and adaptive free-text scoring. Procesamiento del lenguaje natural. 41(41). 225–232. 1 indexed citations
10.
Pérez-Marín, Diana, et al.. (2007). A Study on the Possibility of Automatically Estimating the Confidence Value of Students’Knowledge in Generated Conceptual Models. Journal of Computers. 2(5). 11 indexed citations
11.
Pérez-Marín, Diana, et al.. (2006). Pueden los ordenadores evaluar automáticamente preguntas abiertas. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 50–53. 1 indexed citations
12.
Pérez-Marín, Diana, et al.. (2006). Willow: automatic and adaptative assessment of students' free-text answers. Procesamiento del lenguaje natural. 37(37). 367. 8 indexed citations
13.
Pérez-Marín, Diana, et al.. (2005). Automatic assessment of students’ free-text answers underpinned by the combination of a BLEU-inspired algorithm and latent semantic analysis. Biblos-e Archivo (Universidad Autónoma de Madrid). 358–363. 46 indexed citations
14.
Pérez-Marín, Diana, Enrique Alfonseca, Pilar Rodrı́guez, et al.. (2005). About the effects of combining Latent Semantic Analysis with natural language processing techniques for free-text assessment. Revista signos. 38(59). 325–343. 14 indexed citations
15.
Alfonseca, Enrique, Rosa M. Carro, Manuel Freire, et al.. (2005). Authoring of Adaptive Computer Assisted Assessment of Free-Text Answers. Educational Technology & Society. 8(3). 53–65. 17 indexed citations
16.
Alfonseca, Enrique, Pilar Rodrı́guez, & Diana Pérez-Marín. (2005). An approach for automatic generation of adaptive hypermedia in education with multilingual knowledge discovery techniques. Computers & Education. 49(2). 495–513. 17 indexed citations
17.
Pérez-Marín, Diana, Enrique Alfonseca, & Pilar Rodrı́guez. (2004). Application of the BLEU Method for Evaluating Free-text Answers in an E-learning Environment. Language Resources and Evaluation. 16 indexed citations
18.
Rodrı́guez, Pilar, et al.. (1999). An Adaptive Driving Course Based on HTML Dynamic Generation. World Conference on WWW and Internet. 1999(1). 171–176. 4 indexed citations
19.
Carro, Rosa M., et al.. (1999). Teaching tasks in an adaptive learning environment. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 740–744. 12 indexed citations
20.
Rodrı́guez, Pilar, et al.. (1994). Heterogeneous integration architecture for intelligent control systems. 3(3). 138–138. 8 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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