Carlos V. Regueiro

883 total citations
44 papers, 566 citations indexed

About

Carlos V. Regueiro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Carlos V. Regueiro has authored 44 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Carlos V. Regueiro's work include Indoor and Outdoor Localization Technologies (12 papers), Robotics and Sensor-Based Localization (12 papers) and Reinforcement Learning in Robotics (9 papers). Carlos V. Regueiro is often cited by papers focused on Indoor and Outdoor Localization Technologies (12 papers), Robotics and Sensor-Based Localization (12 papers) and Reinforcement Learning in Robotics (9 papers). Carlos V. Regueiro collaborates with scholars based in Spain, France and Chile. Carlos V. Regueiro's co-authors include Roberto Iglesias, Senén Barro, Xosé M. Pardo, Fernando E. Casado, Manuel Mucientes, Manuel Fernández-Delgado, Eduardo Sánchez, Alberto Bugarín, Xosé A. Vila and Abraham Otero and has published in prestigious journals such as Expert Systems with Applications, Sensors and Pattern Recognition.

In The Last Decade

Carlos V. Regueiro

43 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos V. Regueiro Spain 15 224 196 145 106 78 44 566
Liang Zhou China 12 209 0.9× 112 0.6× 74 0.5× 229 2.2× 143 1.8× 63 672
Turke Althobaiti Saudi Arabia 15 99 0.4× 112 0.6× 69 0.5× 91 0.9× 32 0.4× 35 469
Martin Macaš Czechia 12 114 0.5× 127 0.6× 42 0.3× 64 0.6× 54 0.7× 34 421
John J. Prevost United States 12 105 0.5× 99 0.5× 52 0.4× 52 0.5× 61 0.8× 34 475
Xinhe Xu China 12 114 0.5× 135 0.7× 61 0.4× 32 0.3× 191 2.4× 75 583
Yan Cui China 11 147 0.7× 317 1.6× 89 0.6× 33 0.3× 35 0.4× 32 606
Daniele Jahier Pagliari Italy 15 88 0.4× 150 0.8× 46 0.3× 276 2.6× 31 0.4× 79 612
Ruhul Amin Khalil Pakistan 12 202 0.9× 111 0.6× 67 0.5× 159 1.5× 33 0.4× 35 766
Xinhan Wang China 12 191 0.9× 189 1.0× 73 0.5× 101 1.0× 35 0.4× 23 662
Khaled Mohamad Almustafa Saudi Arabia 14 198 0.9× 78 0.4× 32 0.2× 92 0.9× 16 0.2× 56 660

Countries citing papers authored by Carlos V. Regueiro

Since Specialization
Citations

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

Fields of papers citing papers by Carlos V. Regueiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos V. Regueiro. 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 Carlos V. Regueiro. The network helps show where Carlos V. Regueiro may publish in the future.

Co-authorship network of co-authors of Carlos V. Regueiro

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos V. Regueiro. A scholar is included among the top collaborators of Carlos V. Regueiro 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 Carlos V. Regueiro. Carlos V. Regueiro 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.
Regueiro, Carlos V., et al.. (2023). Positioning system of Android smartphones through the physical properties of sound. 14. 156–152. 1 indexed citations
2.
Casado, Fernando E., et al.. (2023). Ensemble and continual federated learning for classification tasks. Machine Learning. 112(9). 3413–3453. 8 indexed citations
3.
Casado, Fernando E., et al.. (2022). Non-IID data and Continual Learning processes in Federated Learning: A long road ahead. Information Fusion. 88. 263–280. 71 indexed citations
4.
Pardo, Xosé M., et al.. (2022). Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition. Pattern Recognition. 131. 108885–108885. 18 indexed citations
5.
Regueiro, Carlos V., et al.. (2021). An Adaptive Video-to-Video Face Identification System Based on Self-Training. 2590–2596. 1 indexed citations
6.
Casado, Fernando E., et al.. (2021). Concept drift detection and adaptation for federated and continual learning. Multimedia Tools and Applications. 81(3). 3397–3419. 42 indexed citations
7.
Casado, Fernando E., et al.. (2020). Walking Recognition in Mobile Devices. Sensors. 20(4). 1189–1189. 14 indexed citations
8.
Pardo, Xosé M., et al.. (2019). Dataset bias exposed in face verification. IET Biometrics. 8(4). 249–258. 6 indexed citations
9.
Iglesias, Roberto, et al.. (2015). Mobile Robot Positioning with 433-MHz Wireless Motes with Varying Transmission Powers and a Particle Filter. Sensors. 15(5). 10194–10220. 5 indexed citations
10.
Iglesias, Roberto, et al.. (2013). Gesture-based interaction with voice feedback for a tour-guide robot. Journal of Visual Communication and Image Representation. 25(2). 499–509. 37 indexed citations
11.
Regueiro, Carlos V., et al.. (2012). Self-organized multi-camera network for ubiquitous robot deployment in unknown environments. Robotics and Autonomous Systems. 61(7). 667–675. 5 indexed citations
12.
Iglesias, Roberto, et al.. (2012). Learning in real robots from environment interaction. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 6(1). 43–51. 2 indexed citations
13.
Iglesias, Roberto, et al.. (2010). Simultaneous learning of perception and action in mobile robots. Robotics and Autonomous Systems. 58(12). 1306–1315. 6 indexed citations
14.
Rodríguez, Miguel Ángel, et al.. (2009). Learning Proposal based on Reinforcement for Collaborative Tasks: Robot Convoy Formation.. 147–153. 1 indexed citations
15.
Regueiro, Carlos V., et al.. (2009). Omnivision-based KLD-Monte Carlo Localization. Robotics and Autonomous Systems. 58(3). 295–305. 15 indexed citations
16.
Otero, Abraham, et al.. (2006). Fuzzy constraint satisfaction approach for landmark recognition in mobile robotics. AI Communications. 19(3). 275–289. 3 indexed citations
17.
Regueiro, Carlos V., et al.. (2004). Landmark Detection in Mobile Robotics Using Fuzzy Temporal Rules. IEEE Transactions on Fuzzy Systems. 12(4). 423–435. 31 indexed citations
18.
Mucientes, Manuel, et al.. (2003). A fuzzy temporal rule-based velocity controller for mobile robotics. Fuzzy Sets and Systems. 134(1). 83–99. 22 indexed citations
19.
Mucientes, Manuel, et al.. (1999). Use of fuzzy temporal rules for avoidance of moving obstacles in mobile robotics.. European Society for Fuzzy Logic and Technology Conference. 167–170. 2 indexed citations
20.
Barro, Senén, Manuel Fernández-Delgado, Xosé A. Vila, Carlos V. Regueiro, & Eduardo Sánchez. (1998). Classifying multichannel ECG patterns with an adaptive neural network. IEEE Engineering in Medicine and Biology Magazine. 17(1). 45–55. 52 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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