R. Pérez

2.2k citations

31 papers · 1.7k indexed · 1 hit paper · h-index 14

Media Technology top 0.1%
Atmospheric Science top 2%
Ecology top 5%
Artificial Intelligence top 5%
Computer Vision and Pattern Recognition top 5%

Co-authors: Antonio Plaza Javier Plaza P. Martinez Pablo Martı́nez David Valencia Pedro J. Martínez‐García Miguel A. Vega‐Rodríguez J. Anthony Gualtieri
Topics: Remote-Sensing Image Classification (24 papers)Remote Sensing and Land Use (17 papers)Remote Sensing in Agriculture (8 papers)
Cited by: Media Technology Atmospheric Science Analytical Chemistry
Journals: IEEE Transactions on Geoscience and Remote Sensing Sensors Pattern Recognition
Partner nations: Spain United States Mexico

In The Last Decade

R. Pérez

30 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral Data

2004 488 citations Antonio Plaza, P. Martinez et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Countries citing papers authored by R. Pérez

Since Specialization

Citations

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

Fields of papers citing papers by R. Pérez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of R. Pérez. A scholar is included among the top collaborators of R. Pérez 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 R. Pérez. R. Pérez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Solución de un problema de secuenciamiento en configuración jobshop flexible utilizando un Algoritmo de Estimación de Distribuciones. 2014 ·Revista Iberoamericana de Automática e Informática Industrial RIAI ·R. Pérez,(unknown),A. Hernández	1
2	Optimization of Processor-to-Hardware Module Communications on Spaceborne Hybrid FPGA-based Architectures 2013 ·IEEE Embedded Systems Letters ·(unknown),Kevin D. Fisher,(unknown),R. Pérez,Pablo Martı́nez	8
3	A new approach to the analysis of alpha spectra based on neural network techniques 2011 ·Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ·A. Baeza,Javier Miranda,J. Guillén,J.A. Corbacho,R. Pérez	14
4	Diffused Matrix Format: A New Storage and Processing Format for Airborne Hyperspectral Sensor Images 2010 ·Sensors ·Pablo Martı́nez,(unknown),Magaly Koch,R. Pérez,Thomas Schmid,(unknown)	1
5	On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images 2009 ·Pattern Recognition ·Javier Plaza,Antonio Plaza,R. Pérez,Pablo Martı́nez	77
6	Parallel morphological/neural processing of hyperspectral images using heterogeneous and homogeneous platforms 2007 ·Cluster Computing ·Javier Plaza,R. Pérez,Antonio Plaza,Pablo Martı́nez,David Valencia	13
7	Joint linear/nonlinear spectral unmixing of hyperspectral image data 2007 ·Javier Plaza,Antonio Plaza,R. Pérez,Pablo Martı́nez	23
8	Using FPGAs to Implement Artificial Neural Networks 2006 ·(unknown),(unknown),R. Pérez,Juan M. Sánchez‐Guzmán,(unknown)	10
9	Parallel Morphological/Neural Classification of Remote Sensing Images Using Fully Heterogeneous and Homogeneous Commodity Clusters 2006 ·Javier Plaza,R. Pérez,Antonio Plaza,Pablo Martı́nez,David Valencia	4
10	Endmember extraction algorithms from hyperspectral images 2006 ·Annals of Geophysics ·Pedro J. Martínez‐García,R. Pérez,Antonio Plaza,(unknown),(unknown),Javier Plaza	44
11	On the generation of training samples for neural network-based mixed pixel classification 2005 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Javier Plaza,Chein‐I Chang,Antonio Plaza,R. Pérez,Pablo Martı́nez	5
12	Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations 2005 ·IEEE Transactions on Geoscience and Remote Sensing ·Antonio Plaza,P. Martinez,Javier Plaza,R. Pérez	323
13	Automated generation of semi-labeled training samples for nonlinear neural network-based abundance estimation in hyperspectral data 2005 ·Javier Plaza,Antonio Plaza,R. Pérez,Pablo Martı́nez	9
14	FPGA design and implementation of a fast pixel purity index algorithm for endmember extraction in hyperspectral imagery 2005 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·David Valencia,Antonio Plaza,Miguel A. Vega‐Rodríguez,R. Pérez	15
15	A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral Databreakdown → 2004 ·IEEE Transactions on Geoscience and Remote Sensing ·Antonio Plaza,P. Martinez,R. Pérez,Javier Plaza	488
16	A new method for target detection in hyperspectral imagery based on extended morphological profiles 2004 ·Antonio Plaza,Pablo Martı́nez,R. Pérez,Javier Plaza	17
17	Test Image to Validate the Performance of Endmember Extraction and Hyperspectral Unmixing Algorithms 2003 ·(unknown),R. Pérez,A. Atkinson	2
18	<title>Automated identification of endmembers from hyperspectral data using mathematical morphology</title> 2002 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Antonio Plaza,(unknown),J. Anthony Gualtieri,R. Pérez	6
19	Hyperspectral Image Classification using a Self-Organizing Map 2001 ·Pablo Martı́nez,J. Anthony Gualtieri,(unknown),R. Pérez,Marino Linaje,Juan Carlos Preciado,Antonio Plaza	12
20	Spatial/Spectral Identification of Endmembers from AVIRIS Data using Mathematical Morphology 2001 ·Antonio Plaza,Pablo Martı́nez,J. Anthony Gualtieri,R. Pérez	2

About R. Pérez

R. Pérez is a scholar working on Media Technology, Atmospheric Science and Analytical Chemistry, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (24 papers), Remote Sensing and Land Use (17 papers) and Remote Sensing in Agriculture (8 papers). The work is most often cited by research in Media Technology (1.4k citations), Atmospheric Science (878 citations) and Analytical Chemistry (248 citations). R. Pérez has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Antonio Plaza, Javier Plaza, P. Martinez, Pablo Martı́nez, David Valencia, Pedro J. Martínez‐García, Miguel A. Vega‐Rodríguez, J. Anthony Gualtieri, A. Baeza and Javier Miranda. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Pattern Recognition.

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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