Alejandro Maté

1.5k total citations
58 papers, 772 citations indexed

About

Alejandro Maté is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Alejandro Maté has authored 58 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 24 papers in Information Systems and 23 papers in Computer Networks and Communications. Recurrent topics in Alejandro Maté's work include Advanced Database Systems and Queries (17 papers), Big Data and Business Intelligence (14 papers) and Semantic Web and Ontologies (11 papers). Alejandro Maté is often cited by papers focused on Advanced Database Systems and Queries (17 papers), Big Data and Business Intelligence (14 papers) and Semantic Web and Ontologies (11 papers). Alejandro Maté collaborates with scholars based in Spain, Italy and Ecuador. Alejandro Maté's co-authors include Juan Trujillo, Miguel A. Teruel, Jesús Peral, John Mylopoulos, Elda Paja, Tong Li, Mattia Salnitri, Evellin Cardoso, Sergio Luján‐Mora and Jennifer Horkoff and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Alejandro Maté

52 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Maté Spain 16 285 281 188 109 96 58 772
Israel González‐Carrasco Spain 15 213 0.7× 205 0.7× 99 0.5× 48 0.4× 81 0.8× 49 665
Christophe Kolski France 16 195 0.7× 167 0.6× 109 0.6× 72 0.7× 47 0.5× 106 1.0k
Grzegorz J. Nalepa Poland 15 253 0.9× 387 1.4× 168 0.9× 122 1.1× 25 0.3× 119 769
Mourad Abed France 16 268 0.9× 258 0.9× 125 0.7× 75 0.7× 93 1.0× 87 830
José Luis López-Cuadrado Spain 17 232 0.8× 219 0.8× 102 0.5× 46 0.4× 84 0.9× 42 668
Joaquim Filipe Portugal 13 172 0.6× 167 0.6× 103 0.5× 109 1.0× 47 0.5× 93 591
Simon Mayer Switzerland 19 337 1.2× 175 0.6× 113 0.6× 380 3.5× 43 0.4× 142 1.3k
Michael Rovatsos United Kingdom 15 330 1.2× 572 2.0× 69 0.4× 405 3.7× 122 1.3× 77 1.2k
Heinrich C. Mayr Austria 15 330 1.2× 355 1.3× 187 1.0× 186 1.7× 43 0.4× 98 773
Alexander Lazovik Netherlands 16 344 1.2× 277 1.0× 141 0.8× 294 2.7× 21 0.2× 64 910

Countries citing papers authored by Alejandro Maté

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Maté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Maté

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Maté. A scholar is included among the top collaborators of Alejandro Maté 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 Alejandro Maté. Alejandro Maté 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.
Trujillo, Juan, et al.. (2025). An integrated requirements framework for analytical and AI projects. Data & Knowledge Engineering. 161. 102493–102493.
2.
Al‐Khrasani, Mahmoud, Imre Boldizsár, Kornél Király, et al.. (2025). Do vitamins halt the COVID-19-evoked pro-inflammatory cytokines involved in the development of neuropathic pain?. Biomedicine & Pharmacotherapy. 189. 118346–118346. 1 indexed citations
3.
Teruel, Miguel A., et al.. (2024). Study of gender perspective in STEM degrees and its relationship with video games. Entertainment Computing. 52. 100889–100889. 2 indexed citations
4.
Maté, Alejandro, et al.. (2024). Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy. Computers in Biology and Medicine. 183. 109305–109305. 7 indexed citations
5.
Teruel, Miguel A., et al.. (2023). Feature engineering of EEG applied to mental disorders: a systematic mapping study. Applied Intelligence. 53(20). 23203–23243. 13 indexed citations
6.
Maté, Alejandro, et al.. (2023). An extension of iStar for Machine Learning requirements by following the PRISE methodology. Computer Standards & Interfaces. 88. 103806–103806. 2 indexed citations
7.
Maté, Alejandro, et al.. (2022). Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines. International Journal of Machine Learning and Cybernetics. 13(10). 3113–3129. 15 indexed citations
8.
Teruel, Miguel A., et al.. (2021). Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study. Artificial Intelligence Review. 55(2). 1209–1251. 63 indexed citations
9.
Maté, Alejandro, et al.. (2020). An Approach to Automatically Detect and Visualize Bias in Data Analytics.. Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 84–88. 3 indexed citations
10.
Maté, Alejandro, et al.. (2018). Tactical Business-Process-Decision Support based on KPIs Monitoring and Validation. Computers in Industry. 102. 23–39. 23 indexed citations
11.
Horkoff, Jennifer, Fatma Başak Aydemir, Evellin Cardoso, et al.. (2017). Goal-oriented requirements engineering: an extended systematic mapping study. Requirements Engineering. 24(2). 133–160. 117 indexed citations
12.
Maté, Alejandro, Jesús Peral, Antonio Ferrández, David Gil, & Juan Trujillo. (2016). A hybrid integrated architecture for energy consumption prediction. Future Generation Computer Systems. 63. 131–147. 19 indexed citations
13.
Maté, Alejandro, et al.. (2014). A systematic approach for dynamic targeted monitoring of KPIs. Institutional Research Information System (Università degli Studi di Trento). 192–206. 7 indexed citations
14.
Sepúlveda, Samuel, et al.. (2014). Goal oriented requirements engineering in data warehouses: A comparative study. Ingeniería e Investigación. 34(2). 66–70. 2 indexed citations
15.
Palpanas, Themis, et al.. (2013). Monitoring and diagnosing indicators for business analytics. Institutional Research Information System (Università degli Studi di Trento). 177–191. 2 indexed citations
16.
Maté, Alejandro, Juan Trujillo, & Eric Yu. (2013). Aligning Data Warehouse Requirements with Business Goals. 67–72. 1 indexed citations
17.
Maté, Alejandro, Juan Trujillo, & Xavier Franch. (2013). Adding semantic modules to improve goal-oriented analysis of data warehouses using I-star. Journal of Systems and Software. 88. 102–111. 23 indexed citations
18.
Maté, Alejandro & Juan Trujillo. (2011). Incorporating traceability in conceptual models for data warehouses by using MDA. 459–466. 2 indexed citations
19.
Maté, Alejandro, Juan Trujillo, & Xavier Franch. (2011). A modularization proposal for goal-oriented analysis of data warehouses using i-star. 421–428. 4 indexed citations
20.
Garrigós, Irene, et al.. (2009). Una Aplicación basada en Eclipse para la Personalización de Aplicaciones Web Dirigida por Modelos.. 363–366. 1 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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