Elías F. Combarro

1.3k total citations
62 papers, 665 citations indexed

About

Elías F. Combarro is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Elías F. Combarro has authored 62 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 11 papers in Management Science and Operations Research. Recurrent topics in Elías F. Combarro's work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (15 papers) and Multi-Criteria Decision Making (10 papers). Elías F. Combarro is often cited by papers focused on Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (15 papers) and Multi-Criteria Decision Making (10 papers). Elías F. Combarro collaborates with scholars based in Spain, Switzerland and United States. Elías F. Combarro's co-authors include Pedro Miranda, José Ranilla, Elena Montañés, Irene Dı́az, Juan José del Coz Díaz, P.J. Garcı́a Nieto, S. Vallecorsa, Javier Fernández, Ester M. Garzón and Gloria Ortega and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.

In The Last Decade

Elías F. Combarro

54 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elías F. Combarro Spain 15 312 135 118 87 79 62 665
Ferdinando Di Martino Italy 17 451 1.4× 174 1.3× 295 2.5× 58 0.7× 150 1.9× 116 1.1k
Bertrand Clarke United States 13 535 1.7× 93 0.7× 107 0.9× 26 0.3× 314 4.0× 61 1.1k
Huimin Wang China 11 252 0.8× 126 0.9× 65 0.6× 94 1.1× 15 0.2× 40 458
Edward Carlstein United States 7 361 1.2× 329 2.4× 119 1.0× 95 1.1× 401 5.1× 13 1.0k
Iffat A. Gheyas United Kingdom 7 364 1.2× 64 0.5× 85 0.7× 36 0.4× 14 0.2× 12 753
Milan Stehlík Austria 17 160 0.5× 204 1.5× 120 1.0× 75 0.9× 243 3.1× 101 821
Héctor Allende Chile 11 186 0.6× 59 0.4× 22 0.2× 53 0.6× 38 0.5× 59 474
Antonino Staiano Italy 15 230 0.7× 39 0.3× 29 0.2× 61 0.7× 13 0.2× 54 679
Yunjie Zhang China 6 248 0.8× 49 0.4× 83 0.7× 14 0.2× 15 0.2× 25 513
S. Hashem United States 10 404 1.3× 92 0.7× 33 0.3× 55 0.6× 48 0.6× 27 784

Countries citing papers authored by Elías F. Combarro

Since Specialization
Citations

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

Fields of papers citing papers by Elías F. Combarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elías F. Combarro. 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 Elías F. Combarro. The network helps show where Elías F. Combarro may publish in the future.

Co-authorship network of co-authors of Elías F. Combarro

This figure shows the co-authorship network connecting the top 25 collaborators of Elías F. Combarro. A scholar is included among the top collaborators of Elías F. Combarro 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 Elías F. Combarro. Elías F. Combarro 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.
Combarro, Elías F., et al.. (2024). Quantum algorithms to compute the neighbour list of N-body simulations. Quantum Information Processing. 23(2).
2.
Schenk, Michael, et al.. (2024). Hybrid actor-critic algorithm for quantum reinforcement learning at CERN beam lines. Quantum Science and Technology. 9(2). 25012–25012. 6 indexed citations
3.
Combarro, Elías F., Raúl Pérez‐Fernández, José Ranilla, & Bernard De Baets. (2023). Solving the Kemeny ranking aggregation problem with quantum optimization algorithms. Mathematical Methods in the Applied Sciences. 46(16). 17065–17081.
4.
Cañadas-Quesada, F.J., et al.. (2023). Cochleogram-based adventitious sounds classification using convolutional neural networks. Biomedical Signal Processing and Control. 82. 104555–104555. 19 indexed citations
5.
Ortega, Gloria, et al.. (2023). Efficient design of a quantum absolute-value circuit using Clifford+T gates. The Journal of Supercomputing. 79(11). 12656–12670. 4 indexed citations
6.
Combarro, Elías F., et al.. (2023). Running the Dual-PQC GAN on noisy simulators and real quantum hardware. Journal of Physics Conference Series. 2438(1). 12062–12062. 4 indexed citations
7.
Combarro, Elías F., et al.. (2022). Quantum measurement detection algorithms. Quantum Information Processing. 21(8).
8.
Vallecorsa, S., et al.. (2021). Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics. Springer Link (Chiba Institute of Technology). 14 indexed citations
9.
Combarro, Elías F., et al.. (2021). A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm. Journal of Computational and Applied Mathematics. 404. 113388–113388. 30 indexed citations
10.
Galán, Sebastián García, et al.. (2020). A score identification parallel system based on audio-to-score alignment. The Journal of Supercomputing. 76(11). 8830–8844. 1 indexed citations
11.
Combarro, Elías F., et al.. (2019). A Quantum Algorithm for the Commutativity of Finite Dimensional Algebras. IEEE Access. 7. 45554–45562. 4 indexed citations
12.
Gil‐Pita, Roberto, et al.. (2017). Evolved frequency log-energy coefficients for voice activity detection in hearing aids. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 1. 1–6. 4 indexed citations
13.
Combarro, Elías F., et al.. (2016). Mapping cultivable land from satellite imagery with clustering algorithms. International Journal of Applied Earth Observation and Geoinformation. 49. 99–106. 19 indexed citations
14.
Nieto, P.J. Garcı́a, Elías F. Combarro, Juan José del Coz Díaz, & Elena Montañés. (2013). A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study. Applied Mathematics and Computation. 219(17). 8923–8937. 102 indexed citations
15.
Dı́az, Irene, et al.. (2013). Ranking COMMPS Chemical Substances by an Improved POT/RLE Approach. Journal of Chemical Information and Modeling. 53(12). 3190–3201. 1 indexed citations
16.
Combarro, Elías F. & Pedro Miranda. (2009). On the Structure of the k-Additive Fuzzy Measures.. EPrints Complutense Repositorio Institucional de la UCM (Universidad Complutense de Madrid). 64–69. 1 indexed citations
17.
Combarro, Elías F., et al.. (2009). Classification of semifields of order 64. Journal of Algebra. 322(11). 4011–4029. 20 indexed citations
18.
Miranda, Pedro & Elías F. Combarro. (2007). On the Structure of Some Families of Fuzzy Measures. IEEE Transactions on Fuzzy Systems. 15(6). 1068–1081. 11 indexed citations
19.
Combarro, Elías F., et al.. (2005). Introducing a family of linear measures for feature selection in text categorization. IEEE Transactions on Knowledge and Data Engineering. 17(9). 1223–1232. 52 indexed citations
20.
Suárez, Javier de Andrés, Pedro Tedde de Lorca, & Elías F. Combarro. (2002). The sensitivity of machine learning techniques to variations in sample size : a comparative analysis. 2(4). 131–155. 4 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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