Luis de‐Marcos

4.3k total citations · 2 hit papers
97 papers, 2.8k citations indexed

About

Luis de‐Marcos is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Luis de‐Marcos has authored 97 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Information Systems, 37 papers in Computer Science Applications and 27 papers in Artificial Intelligence. Recurrent topics in Luis de‐Marcos's work include Open Education and E-Learning (20 papers), Online Learning and Analytics (15 papers) and Educational Games and Gamification (11 papers). Luis de‐Marcos is often cited by papers focused on Open Education and E-Learning (20 papers), Online Learning and Analytics (15 papers) and Educational Games and Gamification (11 papers). Luis de‐Marcos collaborates with scholars based in Spain, Portugal and Mexico. Luis de‐Marcos's co-authors include Carmen Pagés, Adrián Domínguez‐Díaz, José-Javier Martínez-Herráiz, Luis Fernández Sanz, Eva García‐López, Antonio García‐Cabot, José Antonio Gutiérrez, José María Gutiérrez Martínez, Salvador Otón and José‐Javier Martínez and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and IEEE Access.

In The Last Decade

Luis de‐Marcos

82 papers receiving 2.5k citations

Hit Papers

Gamifying learning experiences: Practical implications an... 2013 2026 2017 2021 2013 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis de‐Marcos Spain 18 1.7k 966 659 655 648 97 2.8k
Karl M. Kapp United States 8 1.6k 0.9× 648 0.7× 654 1.0× 805 1.2× 585 0.9× 22 2.6k
Christo Dichev United States 15 1.6k 1.0× 878 0.9× 402 0.6× 616 0.9× 505 0.8× 58 2.4k
Darina Dicheva United States 19 1.7k 1.0× 1.1k 1.1× 429 0.7× 656 1.0× 634 1.0× 93 2.8k
Seiji Isotani Brazil 28 1.7k 1.0× 1.2k 1.2× 690 1.0× 701 1.1× 744 1.1× 258 3.3k
Baltasar Fernández‐Manjón Spain 31 1.8k 1.1× 1.2k 1.2× 840 1.3× 585 0.9× 552 0.9× 181 3.2k
Sherry Y. Chen Taiwan 34 1.7k 1.0× 851 0.9× 379 0.6× 1.2k 1.8× 827 1.3× 118 3.5k
Kevin Werbach United States 14 1.2k 0.7× 417 0.4× 671 1.0× 325 0.5× 746 1.2× 49 2.8k
Marcus Specht Netherlands 32 1.3k 0.8× 1.3k 1.4× 379 0.6× 956 1.5× 1.0k 1.6× 233 3.5k
Thomas Hainey United Kingdom 19 3.1k 1.8× 1.1k 1.2× 1.4k 2.1× 977 1.5× 615 0.9× 65 4.5k
Sylvester Arnab United Kingdom 20 1.3k 0.8× 588 0.6× 463 0.7× 473 0.7× 339 0.5× 107 2.2k

Countries citing papers authored by Luis de‐Marcos

Since Specialization
Citations

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

Fields of papers citing papers by Luis de‐Marcos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis de‐Marcos. 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 Luis de‐Marcos. The network helps show where Luis de‐Marcos may publish in the future.

Co-authorship network of co-authors of Luis de‐Marcos

This figure shows the co-authorship network connecting the top 25 collaborators of Luis de‐Marcos. A scholar is included among the top collaborators of Luis de‐Marcos 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 Luis de‐Marcos. Luis de‐Marcos 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.
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.
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
5.
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
6.
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
7.
de‐Marcos, Luis, et al.. (2021). Comparing Machine Learning Classifiers for Continuous Authentication on Mobile Devices by Keystroke Dynamics. Electronics. 10(14). 1622–1622. 10 indexed citations
8.
García‐Cabot, Antonio, et al.. (2017). Mobile Instant Messaging Apps: Usability Evaluation on iOS and Android Platforms and Recommendations for Developers. Journal of the Association for Information Systems. 1 indexed citations
9.
de‐Marcos, Luis, Antonio García‐Cabot, & Eva García‐López. (2017). Towards the social gamification of e-learning: a practical experiment. International journal of engineering education. 33(1). 66–73. 44 indexed citations
10.
de‐Marcos, Luis, et al.. (2016). Scrutinizing Systematic Literature Review Process in Software Engineering. TEM Journal. 104–116. 8 indexed citations
11.
de‐Marcos, Luis, Antonio García‐Cabot, Eva García‐López, & J. Medina. (2015). Parliamentary optimization to build personalized learning paths: case study in web engineering curriculum. International journal of engineering education. 31(4). 1092–1105. 3 indexed citations
12.
García‐Cabot, Antonio, et al.. (2014). Adapting Learning Contents to Mobile Devices and Context to Improve Students' Learning Performance: A Case Study. JUCS - Journal of Universal Computer Science. 20. 2032–2042. 7 indexed citations
13.
García‐Cabot, Antonio, Eva García‐López, Luis de‐Marcos, Luis Fernández Sanz, & José María Gutiérrez Martínez. (2014). Adapting learning content to user competences, context and mobile device using a multi-agent system: case studies. International journal of engineering education. 30(4). 937–949. 2 indexed citations
14.
de‐Marcos, Luis, et al.. (2012). EVOLUTIONARY ALGORITHMS TO SOLVE LOOSELY CONSTRAINED PERMUT-CSPS: A PRACTITIONERS APPROACH. International journal of innovative computing, information & control. 8. 4771–4796. 2 indexed citations
15.
García‐Cabot, Antonio, Luis de‐Marcos, Eva García‐López, & José Antonio Gutiérrez. (2010). Courseware Sequencing Using Heuristic and Local Search.. 70–75. 2 indexed citations
16.
Gutiérrez, José Antonio, Luis de‐Marcos, José‐Javier Martínez, et al.. (2009). The Cost of Development of a New System to Control Drivers using GPS Location and Identification Through the Electronic ID Card.. Software Engineering Research and Practice. 606–612. 1 indexed citations
17.
de‐Marcos, Luis, et al.. (2009). A new method for domain independent curriculum sequencing: a case study in a web engineering master program. International journal of engineering education. 25(4). 632–645. 16 indexed citations
18.
de‐Marcos, Luis, et al.. (2009). Aprendizaje móvil y desarrollo de habilidades en foros asincrónicos de comunicación Mobile Learning as a Tool for the Development of Communication Skills in Virtual Discussion Boards. Comunicar. 93–100. 1 indexed citations
19.
de‐Marcos, Luis, Roberto Barchino, José‐Javier Martínez, José Antonio Gutiérrez, & José Ramón Hilera. (2008). Competency-Based Intelligent Curriculum Sequencing: Comparing Two Evolutionary Approaches.. 339–342. 2 indexed citations
20.
de‐Marcos, Luis, et al.. (2006). Implementing Learning Objects Repositories for Mobile Devices.. 31–38. 5 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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