Guillermo Jiménez-Díaz

688 total citations
25 papers, 370 citations indexed

About

Guillermo Jiménez-Díaz is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Guillermo Jiménez-Díaz has authored 25 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Science Applications, 12 papers in Information Systems and 10 papers in Artificial Intelligence. Recurrent topics in Guillermo Jiménez-Díaz's work include Recommender Systems and Techniques (11 papers), Teaching and Learning Programming (7 papers) and Educational Games and Gamification (5 papers). Guillermo Jiménez-Díaz is often cited by papers focused on Recommender Systems and Techniques (11 papers), Teaching and Learning Programming (7 papers) and Educational Games and Gamification (5 papers). Guillermo Jiménez-Díaz collaborates with scholars based in Spain, Italy and Denmark. Guillermo Jiménez-Díaz's co-authors include Juan A. Recio-Garcí­a, Belén Díaz‐Agudo, Lara Quijano-Sánchez, Mercedes Gómez-Albarrán, Javier Arroyo, Antonio A. Sánchez‐Ruiz, Francesco Corea, Marco Antonio Gómez-Martín, Pedro A. González-Calero and Luis Emilio Bruni and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Guillermo Jiménez-Díaz

24 papers receiving 353 citations

Peers

Guillermo Jiménez-Díaz
Comparison fields: 5 of 50
  • Information Systems 233
  • Artificial Intelligence 120
  • Computer Science Applications 74
  • Statistical and Nonlinear Physics 54
  • Sociology and Political Science 48
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Citations per field, relative to Guillermo Jiménez-Díaz
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Citations per year, relative to Guillermo Jiménez-Díaz
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Countries citing papers authored by Guillermo Jiménez-Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Jiménez-Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo Jiménez-Díaz. 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 Guillermo Jiménez-Díaz. The network helps show where Guillermo Jiménez-Díaz may publish in the future.

Co-authorship network of co-authors of Guillermo Jiménez-Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Jiménez-Díaz. A scholar is included among the top collaborators of Guillermo Jiménez-Díaz 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 Guillermo Jiménez-Díaz. Guillermo Jiménez-Díaz 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
# Work Indexed citations
1 1
2 6
3 3
4 8
5 5
6
A Novel Interface for the Explanation of Group Recommendations using Augmented Reality.
1
7 45
8 5
9 8
10 24
11
Happy Movie: A Group Recommender Application in Facebook
7
12 8
13
Personalización en Recomendadores Basados en Contenido y su Aplicación a Repositorios de Objetos de Aprendizaje
4
14 16
15 11
16 56
17 1
18 5
19 5
20 1

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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2026