Manuel Pegalájar Cuéllar

1.8k total citations
64 papers, 1.2k citations indexed

About

Manuel Pegalájar Cuéllar is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Manuel Pegalájar Cuéllar has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 21 papers in Electrical and Electronic Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Manuel Pegalájar Cuéllar's work include Neural Networks and Applications (11 papers), Analytical Chemistry and Sensors (10 papers) and Evolutionary Algorithms and Applications (7 papers). Manuel Pegalájar Cuéllar is often cited by papers focused on Neural Networks and Applications (11 papers), Analytical Chemistry and Sensors (10 papers) and Evolutionary Algorithms and Applications (7 papers). Manuel Pegalájar Cuéllar collaborates with scholars based in Spain, Germany and Finland. Manuel Pegalájar Cuéllar's co-authors include M.C. Pegalajar, L. G. B. Ruiz, Miguel Delgado Calvo-Flores, Miguel Delgado‐Rodríguez, Johan Lilius, Natalia Díaz-Rodríguez, L.F. Capitán‐Vallvey, Ignacio de Orbe-Payá, Diego P. Morales and Alfonso Salinas‐Castillo and has published in prestigious journals such as Analytical Chemistry, Expert Systems with Applications and IEEE Access.

In The Last Decade

Manuel Pegalájar Cuéllar

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Pegalájar Cuéllar Spain 18 356 343 214 185 135 64 1.2k
M.C. Pegalajar Spain 19 366 1.0× 418 1.2× 60 0.3× 167 0.9× 147 1.1× 75 1.3k
Xu Yang China 20 334 0.9× 294 0.9× 93 0.4× 209 1.1× 64 0.5× 98 1.4k
R. K. Sharma India 19 279 0.8× 312 0.9× 193 0.9× 63 0.3× 66 0.5× 172 1.3k
Yiping Liu China 24 469 1.3× 972 2.8× 64 0.3× 229 1.2× 57 0.4× 84 2.4k
Zhenyu Lu China 24 272 0.8× 549 1.6× 216 1.0× 148 0.8× 32 0.2× 120 1.7k
Yuan Sun China 20 198 0.6× 581 1.7× 117 0.5× 54 0.3× 32 0.2× 121 1.5k
Jianhua Jiang China 26 386 1.1× 487 1.4× 168 0.8× 278 1.5× 65 0.5× 163 2.3k
Alessandro Massaro Italy 21 355 1.0× 126 0.4× 72 0.3× 370 2.0× 29 0.2× 198 1.7k
Gang Xie China 25 329 0.9× 528 1.5× 223 1.0× 150 0.8× 60 0.4× 181 2.1k
Lin Yang China 25 616 1.7× 198 0.6× 159 0.7× 574 3.1× 68 0.5× 100 2.5k

Countries citing papers authored by Manuel Pegalájar Cuéllar

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Pegalájar Cuéllar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Pegalájar Cuéllar. 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 Manuel Pegalájar Cuéllar. The network helps show where Manuel Pegalájar Cuéllar may publish in the future.

Co-authorship network of co-authors of Manuel Pegalájar Cuéllar

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Pegalájar Cuéllar. A scholar is included among the top collaborators of Manuel Pegalájar Cuéllar 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 Manuel Pegalájar Cuéllar. Manuel Pegalájar Cuéllar 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.
Cuéllar, Manuel Pegalájar, et al.. (2024). Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning. Applied Intelligence. 54(5). 3667–3679. 1 indexed citations
2.
Cuéllar, Manuel Pegalájar, et al.. (2024). Brain-Inspired Agents for Quantum Reinforcement Learning. Mathematics. 12(8). 1230–1230. 1 indexed citations
3.
Cuéllar, Manuel Pegalájar, et al.. (2024). On the fusion of soft-decision-trees and concept-based models. Applied Soft Computing. 160. 111632–111632. 3 indexed citations
4.
Cuéllar, Manuel Pegalájar, M.C. Pegalajar, & Carlos Cano. (2024). Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning. Quantum Information Processing. 23(5). 5 indexed citations
5.
Stettinger, Georg, et al.. (2024). LaANIL: ANIL with Look-Ahead Meta-Optimization and Data Parallelism. Electronics. 13(8). 1585–1585. 1 indexed citations
6.
Cuéllar, Manuel Pegalájar, et al.. (2023). On the Fusion of Soft-Decision-Trees and Concept-Based Models. SSRN Electronic Journal. 3 indexed citations
7.
Servadei, Lorenzo, et al.. (2023). Few-Shot User-Adaptable Radar-Based Breath Signal Sensing. Sensors. 23(2). 804–804. 10 indexed citations
8.
Cuéllar, Manuel Pegalájar, et al.. (2023). Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning. IEEE Access. 11. 104534–104553. 13 indexed citations
9.
Cuéllar, Manuel Pegalájar, Carlos Cano, L. G. B. Ruiz, & Lorenzo Servadei. (2023). Time series quantum classifiers with amplitude embedding. Quantum Machine Intelligence. 5(2). 5 indexed citations
10.
Servadei, Lorenzo, et al.. (2023). Context-adaptable radar-based people counting via few-shot learning. Applied Intelligence. 53(21). 25359–25387. 3 indexed citations
11.
Cuéllar, Manuel Pegalájar, et al.. (2022). On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios. Energies. 15(16). 6034–6034. 11 indexed citations
12.
Servadei, Lorenzo, et al.. (2022). Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge. IEEE Access. 10. 29741–29759. 11 indexed citations
13.
Tang, Xinyi, et al.. (2021). Automatic Label Creation Framework for FMCW Radar Images Using Camera Data. IEEE Access. 9. 83329–83339. 8 indexed citations
14.
Ruiz, L. G. B., et al.. (2020). An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling. International Journal of Approximate Reasoning. 121. 23–38. 17 indexed citations
15.
Lilius, Johan, et al.. (2014). . ACM Computing Surveys. 46(4). 3 indexed citations
16.
Ariza-Avidad, M., et al.. (2014). Printed Disposable Colorimetric Array for Metal Ion Discrimination. Analytical Chemistry. 86(17). 8634–8641. 32 indexed citations
17.
18.
Erenas, Miguel M., et al.. (2011). A surface fit approach with a disposable optical tongue for alkaline ion analysis. Analytica Chimica Acta. 694(1-2). 128–135. 10 indexed citations
19.
Delgado‐Rodríguez, Miguel, Manuel Pegalájar Cuéllar, & M.C. Pegalajar. (2008). Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(2). 381–403. 41 indexed citations
20.
Cuéllar, Manuel Pegalájar, et al.. (2003). A fir neural network to model the autonomous indebtedness. Dialnet (Universidad de la Rioja). 199–209. 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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