Daniel Burgos

7.2k total citations · 3 hit papers
205 papers, 3.6k citations indexed

About

Daniel Burgos is a scholar working on Computer Science Applications, Education and Developmental and Educational Psychology. According to data from OpenAlex, Daniel Burgos has authored 205 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Science Applications, 50 papers in Education and 47 papers in Developmental and Educational Psychology. Recurrent topics in Daniel Burgos's work include Online Learning and Analytics (52 papers), Open Education and E-Learning (46 papers) and E-Learning and Knowledge Management (45 papers). Daniel Burgos is often cited by papers focused on Online Learning and Analytics (52 papers), Open Education and E-Learning (46 papers) and E-Learning and Knowledge Management (45 papers). Daniel Burgos collaborates with scholars based in Spain, China and Colombia. Daniel Burgos's co-authors include Ahmed Tlili, Baltasar Fernández‐Manjón, Fabio Nascimbeni, Ronghuai Huang, Pablo Moreno‐Ger, John W. Branch, Rob Koper, José Luis Sierra, Lina María Castro Benavides and Ting‐Wen Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Daniel Burgos

188 papers receiving 3.2k citations

Hit Papers

Digital Transformation in... 2020 2026 2022 2024 2020 2020 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Burgos 1.3k 1.0k 874 871 493 205 3.6k
Martin Ebner 1.4k 1.1× 1.3k 1.3× 1.1k 1.2× 943 1.1× 415 0.8× 378 3.7k
Marek Hatala 1.4k 1.1× 1.1k 1.0× 777 0.9× 773 0.9× 750 1.5× 121 3.0k
Demetrios G. Sampson 1.2k 0.9× 1.1k 1.1× 905 1.0× 688 0.8× 635 1.3× 208 3.3k
Rebecca Ferguson 2.2k 1.7× 1.2k 1.2× 633 0.7× 699 0.8× 480 1.0× 104 3.3k
Eric Wiebe 1.7k 1.3× 1.1k 1.1× 856 1.0× 1.3k 1.5× 571 1.2× 222 4.9k
Rob Koper 1.6k 1.2× 953 0.9× 925 1.1× 1.3k 1.5× 698 1.4× 191 3.3k
Yannis Dimitriadis 1.7k 1.3× 1.4k 1.3× 940 1.1× 1.5k 1.7× 662 1.3× 222 3.9k
Marcus Specht 1.3k 1.0× 956 0.9× 1.0k 1.2× 1.3k 1.5× 530 1.1× 233 3.5k
Wu‐Yuin Hwang 659 0.5× 1.6k 1.6× 1.3k 1.5× 1.2k 1.3× 420 0.9× 194 3.7k
Chee‐Kit Looi 936 0.7× 1.6k 1.5× 1.8k 2.1× 1.4k 1.6× 332 0.7× 169 3.6k

Countries citing papers authored by Daniel Burgos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Burgos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Burgos

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Burgos. A scholar is included among the top collaborators of Daniel Burgos 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 Daniel Burgos. Daniel Burgos 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.
Stracke, Christian M., et al.. (2025). Analysis of Artificial Intelligence Policies for Higher Education in Europe.. International Journal of Interactive Multimedia and Artificial Intelligence. 9(2). 124–137. 3 indexed citations
2.
Stracke, Christian M., et al.. (2025). Artificial Intelligence Policies for Higher Education: Manifesto for Critical Considerations and a Roadmap. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 61–73. 1 indexed citations
3.
4.
Tlili, Ahmed, Soheil Salha, Juan Garzón, et al.. (2024). Which pedagogical approaches are more effective in mobile learning? A meta‐analysis and research synthesis. Journal of Computer Assisted Learning. 40(3). 1321–1346. 5 indexed citations
5.
Nani, Claudio, Enrico Monaco, Domenico Albano, et al.. (2024). A 5nm 60GS/s 7b 64-Way Time Interleaved Partial Loop Unrolled SAR ADC Achieving 34dB SNDR up to 32GHz. 1–2. 5 indexed citations
6.
Tlili, Ahmed, Michael Agyemang Adarkwah, Chung Kwan Lo, et al.. (2024). Taming the Monster: How can Open Education Promote the Effective and Safe use of Generative AI in Education?. Journal of Learning for Development. 11(3). 398–413. 2 indexed citations
7.
Affouneh, Saida, et al.. (2023). دور الألعاب التعليمية في تعويض الفاقد التعليمي في فلسطين وسوريا في الأزمات. SHILAP Revista de lepidopterología. 50(3). 422–435. 1 indexed citations
8.
Burgos, Daniel, et al.. (2023). The Impact of Augmented Reality (AR) on the Academic Performance of High School Students. Electronics. 12(10). 2173–2173. 12 indexed citations
9.
Burgos, Daniel, et al.. (2022). Open Education and Open Science in contexts of crises. 1 indexed citations
10.
Stracke, Christian M., Ramesh C. Sharma, Aras Bozkurt, et al.. (2022). Impact of COVID-19 on Formal Education: An International Review of Practices and Potentials of Open Education at a Distance. The International Review of Research in Open and Distributed Learning. 23(4). 1–18. 18 indexed citations
11.
Baldiris, Silvia, et al.. (2021). A Systematic Review of the Effects of Automatic Scoring and Automatic Feedback in Educational Settings. IEEE Access. 9. 108190–108198. 48 indexed citations
12.
Burgos, Daniel, Pietro Ducange, Pierpaolo Limone, et al.. (2021). Bridges and Mediation in Higher Distance Education: HELMeTO 2020 Report. Education Sciences. 11(7). 334–334. 4 indexed citations
13.
Nascimbeni, Fabio, et al.. (2018). Institutional mapping of open educational practices beyond use of Open Educational Resources. Distance Education. 39(4). 511–527. 23 indexed citations
14.
Burgos, Daniel. (2012). How to use IMS-LD to support eLearning in an effective way (Invited Talk). Re-Unir (International University of La Rioja). 2 indexed citations
15.
Dodero, Juan Manuel, Colin Tattersall, Daniel Burgos, & Rob Koper. (2006). Non-representational authoring of learning designs: from idioms to model-driven development. DSpace (Open University in the Netherlands). 3 indexed citations
16.
Specht, Marcus & Daniel Burgos. (2006). Implementing Adaptive Educational Methods with IMS Learning Design. Data Archiving and Networked Services (DANS). 9 indexed citations
17.
Burgos, Daniel, Colin Tattersall, & Rob Koper. (2006). Can ims learning design be used to model computer-based educational games?. DSpace (Open University in the Netherlands). 7 indexed citations
18.
Burgos, Daniel, Colin Tattersall, & Rob Koper. (2006). Representing adaptive eLearning strategies in IMS Learning Design. DSpace (Open University in the Netherlands). 26 indexed citations
19.
Burgos, Daniel & David Griffiths. (2005). The UNFOLD Project. Understanding and using Learning Design. DSpace (Open University in the Netherlands). 14 indexed citations
20.
Burgos, Daniel. (2005). Utilización de estándares en el aprendizaje virtual. Data Archiving and Networked Services (DANS). 2 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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