Carles Mateu

1.9k total citations · 1 hit paper
52 papers, 1.2k citations indexed

About

Carles Mateu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Carles Mateu has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Carles Mateu's work include Advanced Malware Detection Techniques (9 papers), Building Energy and Comfort Optimization (7 papers) and Network Security and Intrusion Detection (6 papers). Carles Mateu is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Building Energy and Comfort Optimization (7 papers) and Network Security and Intrusion Detection (6 papers). Carles Mateu collaborates with scholars based in Spain, United States and Italy. Carles Mateu's co-authors include Jordi Planes, Daniel Gibert, Cèsar Fernández, Eva Martín-Fuentes, Luisa F. Cabeza, Estela Mariné-Roig, Dieter Boer, Ramón Béjar, Quan Le and Marc Marín-Genescà and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Energy.

In The Last Decade

Carles Mateu

47 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

2020 352 citations Daniel Gibert, Carles Mateu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carles Mateu Spain	16	688	600	443	287	109	52	1.2k
Kostas Kolomvatsos Greece	16	92 0.1×	547 0.9×	434 1.0×	557 1.9×	63 0.6×	106	1.4k
Shashank Gupta India	21	438 0.6×	536 0.9×	437 1.0×	878 3.1×	48 0.4×	68	1.5k
Ernesto Expósito France	15	109 0.2×	684 1.1×	448 1.0×	351 1.2×	36 0.3×	86	1.4k
Alexander Brodsky United States	16	183 0.3×	256 0.4×	292 0.7×	117 0.4×	109 1.0×	104	836
Zeeshan Pervez United Kingdom	22	189 0.3×	551 0.9×	506 1.1×	341 1.2×	73 0.7×	87	1.4k
Ivana Podnar Žarko Croatia	21	147 0.2×	750 1.3×	186 0.4×	388 1.4×	53 0.5×	83	1.3k
Mohsen Marjani Malaysia	14	88 0.1×	484 0.8×	377 0.9×	359 1.3×	101 0.9×	35	1.2k
Hugh Boyes United Kingdom	8	74 0.1×	407 0.7×	126 0.3×	291 1.0×	27 0.2×	20	1.2k
Sergio Gusmeroli Italy	9	75 0.1×	608 1.0×	273 0.6×	379 1.3×	146 1.3×	26	1.1k
Toqeer Ali Syed Saudi Arabia	16	102 0.1×	249 0.4×	170 0.4×	453 1.6×	53 0.5×	53	795

Countries citing papers authored by Carles Mateu

Since Specialization

Citations

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

Fields of papers citing papers by Carles Mateu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carles Mateu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mateu, Carles, et al.. (2025). A hybrid data-driven Co-simulation approach for enhanced integrations of renewables and thermal storage in building district energy systems. Journal of Building Engineering. 104. 112405–112405. 2 indexed citations

Abokersh, Mohamed Hany, et al.. (2025). Multi-method optimization of solar district energy systems with battery and thermal energy storage via real-time TRNSYS-Python coupling. Applied Energy. 400. 126528–126528.

Mateu, Carles, et al.. (2025). Using genetic algorithm based methods for optimal thermal energy storage tank design. Applied Thermal Engineering. 287. 129452–129452.

Béjar, Ramón, et al.. (2025). Artificial Intelligence Applied to Computational Fluid Dynamics and Its Application in Thermal Energy Storage: A Bibliometric Analysis. Applied Sciences. 15(13). 7199–7199. 2 indexed citations

Mateu, Carles, et al.. (2025). Artificial intelligence in state of charge estimation: Pioneering approaches across energy storage systems. Energy. 335. 138166–138166. 1 indexed citations

Mateu, Carles, et al.. (2025). Optimizing the Design of TES Tanks for Thermal Energy Storage Applications Through an Integrated Biomimetic-Genetic Algorithm Approach. Biomimetics. 10(4). 197–197. 2 indexed citations

Béjar, Ramón, et al.. (2025). Modeling of TES Tanks by Means of CFD Simulation Using Neural Networks. Energies. 18(3). 511–511.

Abokersh, Mohamed Hany, et al.. (2025). Solar district energy systems with a seasonal energy storage: Advanced data-driven metaheuristic optimization. Journal of Energy Storage. 131. 117557–117557. 1 indexed citations

Mateu, Carles, et al.. (2024). Use of artificial intelligence methods in designing thermal energy storage tanks: A bibliometric analysis. Journal of Energy Storage. 97. 112794–112794. 18 indexed citations

10.

Béjar, Ramón, et al.. (2024). Sewer sediment deposition prediction using a two-stage machine learning solution. Journal of Hydroinformatics. 26(4). 727–743. 2 indexed citations

11.

Borri, Emiliano, et al.. (2024). Thermal Energy Storage in Energy Communities: A Perspective Overview through a Bibliometric Analysis. Sustainability. 16(14). 5895–5895. 8 indexed citations

12.

Cabeza, Luisa F., Mercè Teixidó, Francesco Guarino, et al.. (2024). Incorporating Citizen Science to Enhance Public Awareness in Smart Cities: The Case Study of Balaguer. Applied Sciences. 14(6). 2544–2544. 2 indexed citations

13.

Calderón, Alejandro, et al.. (2024). Methodology for the Prediction of the Thermal Conductivity of Concrete by Using Neural Networks. Applied Sciences. 14(17). 7598–7598. 1 indexed citations

14.

Mateu, Carles, et al.. (2023). Pneumatic Urban Waste Collection Systems: A Review. Applied Sciences. 13(2). 877–877. 4 indexed citations

15.

Guarino, Francesco, et al.. (2023). Renovation assessment of building districts: Case studies and implications to the positive energy districts definition. Energy and Buildings. 296. 113414–113414. 24 indexed citations

16.

Béjar, Ramón, et al.. (2022). Machine learning solutions in sewer systems: a bibliometric analysis. Urban Water Journal. 20(1). 1–14. 7 indexed citations

17.

Gibert, Daniel, Carles Mateu, & Jordi Planes. (2020). Orthrus: A Bimodal Learning Architecture for Malware Classification. 1–8. 11 indexed citations

18.

Ansótegui, Carlos, Ramón Béjar, Cèsar Fernández, & Carles Mateu. (2008). Generating hard SAT/CSP instances using expander graphs. National Conference on Artificial Intelligence. 1442–1443.

19.

Ansótegui, Carlos, Ramón Béjar, Cèsar Fernández, & Carles Mateu. (2007). On balanced CSPs with high treewidth. National Conference on Artificial Intelligence. 50(3). 161–166. 2 indexed citations

20.

Ansótegui, Carlos, Ramón Béjar, Cèsar Fernández, Carla P. Gomes, & Carles Mateu. (2006). The impact of balancing on problem hardness in a highly structured domain. National Conference on Artificial Intelligence. 10–15. 6 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.

Explore authors with similar magnitude of impact