Raúl Martín-Martín

Dr. Raúl Martín-Martín

Institute of Applied Mathematics for Science and Engineering (IMACI), University of Castilla-La Mancha, 45071 Toledo, Spain
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2011 in Annals of Allergy, Asthma & Immunology
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Journal Article
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FBFrancisco Feo Brito
Francisco Feo Brito
PGPilar Mur Gimeno
Pilar Mur Gimeno
Jeronimo CarnesJeronimo Carnes
Jeronimo Carnes
Raúl Martín-MartínRaúl Martín-Martín
Raúl Martín-Martín
EFEnrique Fernández-Caldas
Enrique Fernández-Caldas
FGFrancisco Guerra
Francisco Guerra

20 January 2017 in URBAN DESIGN International
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Journal Article
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BRBorja Ruiz-Apilánez
Borja Ruiz-Apilánez
KKKayvan Karimi
Kayvan Karimi
Irene García-Camacha GutiérrezIrene García-Camacha Gutiérrez
Irene García-Camacha Gutiérrez
Raúl Martín-MartínRaúl Martín-Martín
Raúl Martín-Martín

1 December 2009 in Journal of Statistical Planning and Inference
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Journal Article
Closed access
BTB. Torsney
B. Torsney
Raúl Martín-MartínRaúl Martín-Martín
Raúl Martín-Martín

15 November 2011 in World Journal of Microbiology and Biotechnology
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FPFátima Pérez-Martín
Fátima Pérez-Martín
SSSusana Seseña
Susana Seseña
PIPedro Miguel Izquierdo
Pedro Miguel Izquierdo
Raúl Martín-MartínRaúl Martín-Martín
Raúl Martín-Martín
MPMaría Llanos Palop
María Llanos Palop

1 March 2017 in Journal of Hydrometeorology
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Journal Article
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Francisco J. TapiadorFrancisco J. Tapiador
Francisco J. Tapiador
Andrés NavarroAndrés Navarro
Andrés Navarro
RGRaúl Moreno Galdón
Raúl Moreno Galdón
AJAlfonso Jiménez-Alcázar
Alfonso Jiménez-Alcázar
CMC. Marcos
C. Marcos
MCM. de Castro
M. de Castro
Laser disdrometers measure the particle size distribution (PSD) of hydrometeors through a small cross-sectional (tens of square centimeters) surface. Such a limited area induces a sampling effect in the estimates of the PSD, which translates to error in the reflectivity–rain-rate (Z–R) relationship used for ground radar estimates of rainfall, estimates of kinetic energy of precipitation, and any other hydrometeorological application relying on particle size information. Here, the results of a dedicated experiment to estimate the extent of the effect of limited area sampling of rainfall are presented. Using 14 Parsivel, version 1 (Parsivel-1), disdrometers placed within 6 m2, it was found that the combined area of at least seven disdrometers is required for the estimates to start converging to a stable value. The results can be used to quantify the degree of over-/underestimation of precipitation parameters for a single instrument due to the limited collecting area effect. It has been found that a single disdrometer may underestimate instantaneous rain rate by 70%.

20 June 2019 in PLOS ONE
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Journal Article
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IAInmaculada Yustres Amores
Inmaculada Yustres Amores
Jesús Santos del CerroJesús Santos del Cerro
Jesús Santos del Cerro
Raúl Martín-MartínRaúl Martín-Martín
Raúl Martín-Martín
FGFernando González-Mohíno
Fernando González-Mohíno
OLOliver Logan
Oliver Logan
José María González-RavéJosé María González-Ravé
José María González-Ravé
The primary goal was to examine the influence of early specialization on the performance of senior elite swimmers. Secondly, to provide information about the influence of swim style, distance, sex, status, country, years of high-level competition (YHLC) and age in swimmer’s performance. Data was obtained from International Federation of Swimming (FINA) regarding the participants 2006–2017 of junior and senior World Championships (WCs). The final filtered database included 4076 swimmers after removing those participating only in junior WCs. Cramer V coefficient, double and triple-entry tables were used to measure the relationship between the positions occupied in junior and senior phases. A One-Way ANOVA analysis was used to explain the variables time and rank between swimmers who participated in junior and senior WC or just in senior in all the distances and swim styles (SS). A univariate general linear model (GLM) was used to examine the association between time/rank and category (swimmers that participated previously in junior WC or not); YHLC; country; status (highest finishing position: final/semi-final/heats) and age. Significant differences (p < .001) were found in the GLM, with Rank as dependent variable, for all the variables. Showing that swimmers that participated previously in junior categories obtained greater results in all the interactions, except in 1500m freestyle. Significant differences (p < .001) were found between the variables position and YHLC, showing the variable position improvements as swimmers attended more WCs. Competing in junior WC has a positive influence in achieve posteriori success in FINA WC. YHLC have a positive impact to achieve better positions.