Adrián Domínguez‐Díaz

2.7k total citations · 2 hit papers
17 papers, 1.8k citations indexed

About

Adrián Domínguez‐Díaz is a scholar working on Sociology and Political Science, Information Systems and Computer Science Applications. According to data from OpenAlex, Adrián Domínguez‐Díaz has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 5 papers in Information Systems and 5 papers in Computer Science Applications. Recurrent topics in Adrián Domínguez‐Díaz's work include Online Learning and Analytics (4 papers), Educational Games and Gamification (4 papers) and Spam and Phishing Detection (3 papers). Adrián Domínguez‐Díaz is often cited by papers focused on Online Learning and Analytics (4 papers), Educational Games and Gamification (4 papers) and Spam and Phishing Detection (3 papers). Adrián Domínguez‐Díaz collaborates with scholars based in Spain, Italy and Croatia. Adrián Domínguez‐Díaz's co-authors include Luis de‐Marcos, Carmen Pagés, José-Javier Martínez-Herráiz, Luis Fernández Sanz, Antonio García‐Cabot, Eva García‐López, J. Medina, Manuel Goyanes, Daniel Rodríguez and Ah-Lian Kor and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and IEEE Access.

In The Last Decade

Adrián Domínguez‐Díaz

13 papers receiving 1.6k citations

Hit Papers

Gamifying learning experiences: Practical implications an... 2013 2026 2017 2021 2013 2014 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gamifying learning experiences: Practical implications and outcomes
    2013 1.2k citations Adrián Domínguez‐Díaz, Luis de‐Marcos et al. Computers & Education profile →
  2. An empirical study comparing gamification and social networking on e-learning
    2014 436 citations Luis de‐Marcos, Adrián Domínguez‐Díaz et al. Computers & Education profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrián Domínguez‐Díaz Spain 5 1.4k 640 490 398 277 17 1.8k
Christo Dichev United States 15 1.6k 1.2× 878 1.4× 402 0.8× 616 1.5× 505 1.8× 58 2.4k
Jan Ulrich Hense Germany 5 1.0k 0.8× 304 0.5× 399 0.8× 231 0.6× 156 0.6× 16 1.5k
Jodi Asbell‐Clarke United States 10 1.4k 1.0× 1.2k 1.9× 312 0.6× 404 1.0× 322 1.2× 30 2.2k
Diane Jass Ketelhut United States 18 1.0k 0.8× 486 0.8× 279 0.6× 877 2.2× 250 0.9× 66 1.9k
Teon Edwards United States 7 862 0.6× 352 0.6× 272 0.6× 253 0.6× 196 0.7× 14 1.2k
Victor R. Lee United States 23 623 0.5× 576 0.9× 195 0.4× 626 1.6× 233 0.8× 112 1.7k
Florian Brühlmann Switzerland 16 816 0.6× 236 0.4× 526 1.1× 191 0.5× 181 0.7× 36 1.6k
Christof van Nimwegen Netherlands 9 854 0.6× 214 0.3× 322 0.7× 278 0.7× 138 0.5× 32 1.2k
Mansureh Kebritchi United States 12 792 0.6× 574 0.9× 254 0.5× 917 2.3× 404 1.5× 17 1.9k
Christopher Hoadley United States 21 880 0.6× 390 0.6× 426 0.9× 987 2.5× 377 1.4× 79 2.1k

Countries citing papers authored by Adrián Domínguez‐Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Domínguez‐Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrián Domínguez‐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 Adrián Domínguez‐Díaz. The network helps show where Adrián Domínguez‐Díaz may publish in the future.

Co-authorship network of co-authors of Adrián Domínguez‐Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Domínguez‐Díaz. A scholar is included among the top collaborators of Adrián Domínguez‐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 Adrián Domínguez‐Díaz. Adrián Domínguez‐Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
de‐Marcos, Luis, et al.. (2025). What’s Going On in Dark Web Question and Answer Forums: Topic Diversity and Linguistic Characteristics. IEEE Access. 13. 149880–149890. 2 indexed citations
2.
Domínguez‐Díaz, Adrián, et al.. (2025). Classifying illicit dark web content through zero-shot prompting: An empirical study with GPT models. Information Processing & Management. 63(2). 104476–104476.
3.
4.
de‐Marcos, Luis & Adrián Domínguez‐Díaz. (2025). LLM-Based Topic Modeling for Dark Web Q&A Forums: A Comparative Analysis With Traditional Methods. IEEE Access. 13. 67159–67169. 3 indexed citations
5.
Domínguez‐Díaz, Adrián, Manuel Goyanes, & Luis de‐Marcos. (2025). Automating content analysis of scientific abstracts using ChatGPT: A methodological protocol and use case. MethodsX. 15. 103431–103431. 1 indexed citations
6.
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Kor, Ah-Lian, et al.. (2024). Towards Sustainability and Energy Efficiency Using Data Analytics for HPC Data Center. Electronics. 13(17). 3542–3542. 1 indexed citations
9.
Domínguez‐Díaz, Adrián, et al.. (2024). Comparative analysis of automatic gender detection from names: evaluating the stability and performance of ChatGPT versus Namsor, and Gender-API. PeerJ Computer Science. 10. e2378–e2378. 5 indexed citations
10.
Goyanes, Manuel, Luis de‐Marcos, & Adrián Domínguez‐Díaz. (2024). Automatic gender detection: a methodological procedure and recommendations to computationally infer the gender from names with ChatGPT and gender APIs. Scientometrics. 129(11). 6867–6888. 4 indexed citations
11.
de‐Marcos, Luis, Manuel Goyanes, & Adrián Domínguez‐Díaz. (2024). Mapping science through editorial board interlocking: connections and distance between fields of knowledge and institutional affiliations. Scientometrics. 129(6). 3385–3406. 1 indexed citations
12.
García‐López, Eva, et al.. (2021). Applying usability recommendations when developing mobile instant messaging applications. IET Software. 16(1). 73–93. 2 indexed citations
13.
García‐Cabot, Antonio, et al.. (2020). The Use of Machine Learning in Educational Datasets. 131–140. 3 indexed citations
14.
Domínguez‐Díaz, Adrián, Luis de‐Marcos, & José-Javier Martínez-Herráiz. (2020). Effects of Competitive and Cooperative Classroom Response Systems on Quiz Performance and Programming Skills in a Video Game Programming Course. e_Buah. 259. 398–403. 4 indexed citations
15.
de‐Marcos, Luis, Eva García‐López, Antonio García‐Cabot, et al.. (2016). Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance. Computers in Human Behavior. 60. 312–321. 73 indexed citations
16.
de‐Marcos, Luis, et al.. (2014). An empirical study comparing gamification and social networking on e-learning. Computers & Education. 75. 82–91. 436 indexed citations breakdown →
17.
Domínguez‐Díaz, Adrián, et al.. (2013). Gamifying learning experiences: Practical implications and outcomes. Computers & Education. 63. 380–392. 1222 indexed citations breakdown →

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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