David Lizcano

1.6k total citations
69 papers, 1.0k citations indexed

About

David Lizcano is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, David Lizcano has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 21 papers in Artificial Intelligence and 20 papers in Computer Networks and Communications. Recurrent topics in David Lizcano's work include Service-Oriented Architecture and Web Services (17 papers), Business Process Modeling and Analysis (10 papers) and Spreadsheets and End-User Computing (7 papers). David Lizcano is often cited by papers focused on Service-Oriented Architecture and Web Services (17 papers), Business Process Modeling and Analysis (10 papers) and Spreadsheets and End-User Computing (7 papers). David Lizcano collaborates with scholars based in Spain, Jordan and Portugal. David Lizcano's co-authors include Juan A. Lara, María A. Martínez, Javier Soriano, Shadi Aljawarneh, Bebo White, Juan Pazos, Célia M. Q. Ramos, Nelson Matos, Genoveva López and María José Escalona and has published in prestigious journals such as IEEE Access, Computers & Education and Sensors.

In The Last Decade

David Lizcano

64 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Lizcano Spain 15 385 322 279 192 125 69 1.0k
Evandro Costa Brazil 17 466 1.2× 539 1.7× 506 1.8× 157 0.8× 116 0.9× 123 1.3k
Rabeeh Ayaz Abbasi Pakistan 21 298 0.8× 268 0.8× 555 2.0× 129 0.7× 83 0.7× 52 1.2k
Juan A. Lara Spain 15 297 0.8× 401 1.2× 358 1.3× 179 0.9× 150 1.2× 61 1.0k
Norsaremah Salleh Malaysia 16 869 2.3× 318 1.0× 199 0.7× 197 1.0× 66 0.5× 62 1.4k
Ioanna Lykourentzou Netherlands 18 214 0.6× 554 1.7× 281 1.0× 95 0.5× 93 0.7× 62 1.1k
Peter Dolog Denmark 19 631 1.6× 370 1.1× 620 2.2× 188 1.0× 70 0.6× 82 1.2k
Elena García‐Barriocanal Spain 18 367 1.0× 222 0.7× 337 1.2× 75 0.4× 52 0.4× 71 929
Ambjörn Naeve Sweden 17 475 1.2× 435 1.4× 499 1.8× 425 2.2× 201 1.6× 61 1.4k
Alexander Mikroyannidis United Kingdom 12 269 0.7× 179 0.6× 218 0.8× 101 0.5× 83 0.7× 82 757
John K. Tarus China 8 539 1.4× 283 0.9× 442 1.6× 75 0.4× 170 1.4× 11 940

Countries citing papers authored by David Lizcano

Since Specialization
Citations

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

Fields of papers citing papers by David Lizcano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lizcano

This figure shows the co-authorship network connecting the top 25 collaborators of David Lizcano. A scholar is included among the top collaborators of David Lizcano 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 David Lizcano. David Lizcano 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.
García-García, J. A., et al.. (2025). Metaverse Applications: Challenges, Limitations and Opportunities - A Systematic Literature Review. Information and Software Technology. 182. 107701–107701. 3 indexed citations
2.
Ortega, José, et al.. (2025). Análisis de la integración de recursos tecnológicos en las aulas de Educación Secundaria españolas. European Public & Social Innovation Review. 10. 1–20.
3.
Drai-Zerbib, Véronique, et al.. (2024). SunoCaps: A novel dataset of text-prompt based AI-generated music with emotion annotations. Data in Brief. 55. 110743–110743. 4 indexed citations
4.
García-García, J. A., et al.. (2023). Evaluation of clinical practice guideline-derived clinical decision support systems using a novel quality model. Journal of Biomedical Informatics. 149. 104573–104573. 4 indexed citations
5.
García-García, J. A., et al.. (2020). Using Blockchain to Improve Collaborative Business Process Management: Systematic Literature Review. IEEE Access. 8. 142312–142336. 42 indexed citations
6.
Ortigosa, Álvaro, et al.. (2019). From Lab to Production: Lessons Learnt and Real-Life Challenges of an Early Student-Dropout Prevention System. IEEE Transactions on Learning Technologies. 12(2). 264–277. 34 indexed citations
7.
Lizcano, David, et al.. (2019). A Multiagent System Prototype of a Tacit Knowledge Management Model to Reduce Labor Incident Resolution Times. Applied Sciences. 9(24). 5448–5448. 3 indexed citations
8.
Lizcano, David, Juan A. Lara, Bebo White, & Shadi Aljawarneh. (2019). Blockchain-based approach to create a model of trust in open and ubiquitous higher education. Journal of Computing in Higher Education. 32(1). 109–134. 154 indexed citations
9.
Lara, Juan A., et al.. (2019). Web gamification with problem simulators for teaching engineering. Journal of Computing in Higher Education. 32(1). 135–161. 14 indexed citations
10.
Gutiérrez, Javier, et al.. (2017). Modelling Gherkin Scenarios Using UML. 4 indexed citations
11.
Lara, Juan A., et al.. (2017). Who Discovered the Binary System and Arithmetic? Did Leibniz Plagiarize Caramuel?. Science and Engineering Ethics. 24(1). 173–188. 4 indexed citations
12.
Lara, Juan A., et al.. (2016). Applying data mining techniques to medical time series: an empirical case study in electroencephalography and stabilometry. Computational and Structural Biotechnology Journal. 14. 185–199. 18 indexed citations
13.
Lara, Juan A., et al.. (2014). A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry. Journal of Biomedical Informatics. 51. 219–241. 10 indexed citations
14.
Lizcano, David, et al.. (2014). A component- and connector-based approach for end-user composite web applications development. Journal of Systems and Software. 94. 108–128. 12 indexed citations
15.
Soriano, Javier, et al.. (2013). Explicit Context Matching in Content-Based Publish/Subscribe Systems. Sensors. 13(3). 2945–2966. 2 indexed citations
16.
Lizcano, David, Fernando Alonso, Javier Soriano, & Genoveva López. (2011). End-User Development Success Factors and their Application to Composite Web Development Environments. International Conference on Systems. 99–108. 9 indexed citations
17.
Lizcano, David, Fernando Alonso, Javier Soriano, & Genoveva López. (2011). A new end-user composition model to empower knowledge workers to develop rich internet applications. Journal of Web Engineering. 10(3). 197–233. 10 indexed citations
18.
Lizcano, David, et al.. (2009). The Morfeo Open Source Community: Building Technologies of the Future Web through Open Innovation. 1 indexed citations
19.
Lizcano, David, et al.. (2008). Tackling interoperability in composite applications from an enterprise mash-up perspective. 1–8. 4 indexed citations
20.
Soriano, Javier, et al.. (2008). Enhancing User-Service Interaction through a Global User-Centric Approach to SOA. UPM Digital Archive (Technical University of Madrid). 194–203. 21 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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