Carlos Medrano

2.1k total citations · 1 hit paper
67 papers, 1.5k citations indexed

About

Carlos Medrano is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Carlos Medrano has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Carlos Medrano's work include Context-Aware Activity Recognition Systems (8 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Experimental Learning in Engineering (6 papers). Carlos Medrano is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Experimental Learning in Engineering (6 papers). Carlos Medrano collaborates with scholars based in Spain, France and United Kingdom. Carlos Medrano's co-authors include Inmaculada Plaza, Raúl Igual, Sergio Martín, L. Martin, Manuel Castro, Carlos Orrite, Iván García‐Magariño, J. Baruchel, M. Schlenker and J.I. Espeso and has published in prestigious journals such as Physical review. B, Condensed matter, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Carlos Medrano

64 papers receiving 1.4k citations

Hit Papers

Challenges, issues and trends in fall detection systems 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Medrano Spain 16 740 551 242 220 205 67 1.5k
Inmaculada Plaza Spain 16 706 1.0× 600 1.1× 145 0.6× 179 0.8× 220 1.1× 84 1.6k
Dewar Finlay United Kingdom 22 359 0.5× 486 0.9× 188 0.8× 165 0.8× 145 0.7× 217 2.2k
Christophe Escriba France 10 486 0.7× 447 0.8× 416 1.7× 103 0.5× 306 1.5× 37 1.5k
Éric Campo France 11 654 0.9× 194 0.4× 390 1.6× 93 0.4× 407 2.0× 60 1.4k
Miao Yu China 17 608 0.8× 393 0.7× 114 0.5× 323 1.5× 105 0.5× 107 1.4k
Jean-Yves Fourniols France 9 334 0.5× 347 0.6× 268 1.1× 95 0.4× 227 1.1× 30 1.2k
Sébastien Gaboury Canada 22 560 0.8× 228 0.4× 401 1.7× 182 0.8× 247 1.2× 161 1.7k
Yu Guan China 20 620 0.8× 368 0.7× 134 0.6× 370 1.7× 175 0.9× 81 1.8k
Nirmalya Roy United States 25 1.1k 1.4× 298 0.5× 553 2.3× 590 2.7× 612 3.0× 167 2.5k
Vincent Rialle France 15 902 1.2× 401 0.7× 198 0.8× 215 1.0× 288 1.4× 66 1.5k

Countries citing papers authored by Carlos Medrano

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Medrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Medrano

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Medrano. A scholar is included among the top collaborators of Carlos Medrano 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 Medrano. Carlos Medrano 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.
Medrano, Carlos, et al.. (2025). Optimized Creep-Hysteresis Model to Improve Center-of-Pressure Detection in Pressure-Sensitive Mats. IEEE Sensors Journal. 25(9). 15295–15306.
2.
Casterad, Javier Zaragoza, et al.. (2019). Improving Physical Activity Levels and Psychological Variables on University Students in the Contemplation Stage. International Journal of Environmental Research and Public Health. 16(22). 4368–4368. 5 indexed citations
3.
Medrano, Carlos, et al.. (2019). Circuit Analysis of Matrix-Like Resistor Networks for Eliminating Crosstalk in Pressure Sensitive Mats. IEEE Sensors Journal. 19(18). 8027–8036. 21 indexed citations
4.
García‐Magariño, Iván, Carlos Medrano, & Jorge Delgado. (2019). Estimation of missing prices in real-estate market agent-based simulations with machine learning and dimensionality reduction methods. Neural Computing and Applications. 32(7). 2665–2682. 12 indexed citations
6.
Miragall, Marta, et al.. (2018). Expand your body when you look at yourself: The role of the posture in a mirror exposure task. PLoS ONE. 13(3). e0194686–e0194686. 10 indexed citations
7.
Orrite, Carlos, et al.. (2017). Fast Simplex-HMM for One-Shot Learning Activity Recognition. 1259–1266. 12 indexed citations
8.
Medrano, Carlos, et al.. (2017). Combining novelty detectors to improve accelerometer-based fall detection. Medical & Biological Engineering & Computing. 55(10). 1849–1858. 17 indexed citations
9.
Orrite, Carlos, et al.. (2016). One-Shot Learning of Human Activity With an MAP Adapted GMM and Simplex-HMM. IEEE Transactions on Cybernetics. 47(7). 1769–1780. 32 indexed citations
10.
Herrera‐Mercadal, Paola, Jesús Montero‐Marín, Inmaculada Plaza, et al.. (2015). The efficacy and pattern of use of a computer-assisted programme for the treatment of anxiety: A naturalistic study using mixed methods in primary care in Spain. Journal of Affective Disorders. 175. 184–191. 5 indexed citations
11.
Medrano, Carlos, Raúl Igual, Inmaculada Plaza, & Manuel Castro. (2014). Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones. PLoS ONE. 9(4). e94811–e94811. 129 indexed citations
12.
Igual, Raúl, Carlos Medrano, & Inmaculada Plaza. (2013). Challenges, issues and trends in fall detection systems. BioMedical Engineering OnLine. 12(1). 66–66. 440 indexed citations breakdown →
13.
Rincón, Jesús Martínez del, Carlos Orrite, & Carlos Medrano. (2010). Rao–Blackwellised particle filter for colour-based tracking. Pattern Recognition Letters. 32(2). 210–220. 14 indexed citations
14.
Medrano, Carlos, et al.. (2006). A noção de cuidado de si mesmo e o conceito de autocuidado na enfermagem. Texto & Contexto - Enfermagem. 15(spe). 152–157. 35 indexed citations
15.
Plaza, Inmaculada & Carlos Medrano. (2004). A specific implementation of IEC 61131-3 software model. World Automation Congress. 16. 223–230. 3 indexed citations
16.
Baruchel, J., Elodie Boller, J.I. Espeso, et al.. (2001). Bragg-diffraction imaging of magnetic crystals with third-generation synchrotron radiation. Journal of Magnetism and Magnetic Materials. 233(1-2). 38–47. 5 indexed citations
17.
Medrano, Carlos, M. Schlenker, J. Baruchel, J.I. Espeso, & Y. Miyamoto. (1999). Domains in the low-temperature phase of magnetite from synchrotron-radiation x-ray topographs. Physical review. B, Condensed matter. 59(2). 1185–1195. 65 indexed citations
18.
Medrano, Carlos, et al.. (1998). Two- and Three-Beam X-ray Diffraction Imaging of Domains in Magnetite. Journal of Applied Crystallography. 31(5). 726–732. 1 indexed citations
19.
Medrano, Carlos, et al.. (1997). El desarrollo de las líneas transversales en el área de Lengua Castellana a través de la investigación cooperativa. Revista de Psicodidáctica. 1(4). 77–87.
20.
Medrano, Carlos, et al.. (1970). Evaluación de herramientas de software libre para cálculo numérico.. 3 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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