Abel Paz

651 total citations
36 papers, 506 citations indexed

About

Abel Paz is a scholar working on Media Technology, Atmospheric Science and Ecology. According to data from OpenAlex, Abel Paz has authored 36 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Media Technology, 14 papers in Atmospheric Science and 12 papers in Ecology. Recurrent topics in Abel Paz's work include Remote-Sensing Image Classification (24 papers), Remote Sensing and Land Use (14 papers) and Remote Sensing in Agriculture (11 papers). Abel Paz is often cited by papers focused on Remote-Sensing Image Classification (24 papers), Remote Sensing and Land Use (14 papers) and Remote Sensing in Agriculture (11 papers). Abel Paz collaborates with scholars based in Spain, Switzerland and Italy. Abel Paz's co-authors include Antonio Plaza, Javier Plaza, Sergio Sánchez, Carlos González, Javier Resano, Daniel Mozos, Gabriel Martín, Sergio Sánchez, Ramón Garcı́a-Escudero and Jesús M. Paramio and has published in prestigious journals such as Remote Sensing, IEEE Signal Processing Magazine and Computers & Geosciences.

In The Last Decade

Abel Paz

33 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abel Paz Spain 14 333 223 124 119 65 36 506
Genping Zhao China 15 282 0.8× 133 0.6× 163 1.3× 88 0.7× 56 0.9× 56 649
Shuli Cheng China 10 432 1.3× 251 1.1× 171 1.4× 123 1.0× 76 1.2× 25 612
Chein‐I Chang United States 7 399 1.2× 206 0.9× 107 0.9× 73 0.6× 75 1.2× 12 520
Sergio Bernabé Spain 15 481 1.4× 278 1.2× 209 1.7× 175 1.5× 64 1.0× 43 681
Pan Chen China 10 333 1.0× 223 1.0× 66 0.5× 125 1.1× 60 0.9× 25 437
Saimin Zhang China 4 197 0.6× 119 0.5× 108 0.9× 74 0.6× 46 0.7× 8 374
Meiqi Hu China 10 339 1.0× 197 0.9× 99 0.8× 88 0.7× 59 0.9× 21 452
Chao-Cheng Wu Taiwan 14 491 1.5× 282 1.3× 87 0.7× 156 1.3× 139 2.1× 52 670
L. Carlin Italy 5 349 1.0× 198 0.9× 133 1.1× 116 1.0× 56 0.9× 7 436
Jinghui Yang China 12 325 1.0× 176 0.8× 150 1.2× 60 0.5× 34 0.5× 45 482

Countries citing papers authored by Abel Paz

Since Specialization
Citations

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

Fields of papers citing papers by Abel Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abel Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Abel Paz. A scholar is included among the top collaborators of Abel Paz 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 Abel Paz. Abel Paz 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.
Paz, Abel, et al.. (2024). Advancements in remote sensing for invasive plant mapping along the Guadiana River: The role of CNN2D. Future Generation Computer Systems. 158. 400–409. 1 indexed citations
2.
Paz, Abel, et al.. (2023). Mapping the Accumulation of Invasive Aquatic Plants in the Guadiana River, Spain, Using Multitemporal Remote Sensing. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 3 indexed citations
3.
Paz, Abel, et al.. (2023). Mapping Invasive Aquatic Plants in Sentinel-2 Images Using Convolutional Neural Networks Trained With Spectral Indices. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 2889–2899. 15 indexed citations
4.
Paz, Abel, et al.. (2022). Monitoring the Spatiotemporal Distribution of Invasive Aquatic Plants in the Guadiana River, Spain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 228–241. 13 indexed citations
5.
Paz, Abel, et al.. (2017). Clusterization in head and neck squamous carcinomas based on lncRNA expression: molecular and clinical correlates. Clinical Epigenetics. 9(1). 36–36. 18 indexed citations
6.
Paz, Abel, et al.. (2015). Perfomance Optimizations for an Automatic Target Generation Process in Hyperspectral Analysis. 1–6. 1 indexed citations
7.
Sánchez, S., Prashanth Marpu, Antonio Plaza, & Abel Paz. (2015). Parallel Implementation of Polarimetric Synthetic Aperture Radar Data Processing for Unsupervised Classification Using the Complex Wishart Classifier. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(11). 5376–5387. 5 indexed citations
8.
González, Carlos, Sergio Sánchez, Abel Paz, et al.. (2012). Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing. Integration. 46(2). 89–103. 72 indexed citations
9.
Sánchez, Sergio, Abel Paz, Gabriel Martín, & Antonio Plaza. (2011). Parallel unmixing of remotely sensed hyperspectral images on commodity graphics processing units. Concurrency and Computation Practice and Experience. 23(13). 1538–1557. 40 indexed citations
10.
Paz, Abel, et al.. (2011). Fast anomaly detection in hyperspectral images with RX method on heterogeneous clusters. The Journal of Supercomputing. 58(3). 411–419. 18 indexed citations
11.
Paz, Abel. (2011). The Story of the Iron Column: Militant Anarchism in the Spanish Civil War. 4 indexed citations
12.
Paz, Abel & Antonio Plaza. (2010). GPU implementation of target and anomaly detection algorithms for remotely sensed hyperspectral image analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7810. 78100R–78100R. 17 indexed citations
13.
Paz, Abel, et al.. (2010). A New Parallel Implementation of the RX Algorithm for Anomaly Detection in Hyperspectral Images. 1 indexed citations
14.
Plaza, Antonio, Javier Plaza, & Abel Paz. (2010). Improving the scalability of hyperspectral imaging applications on heterogeneous platforms using adaptive run-time data compression. Computers & Geosciences. 36(10). 1283–1291. 3 indexed citations
15.
Sánchez, Sergio, Gabriel Martín, Abel Paz, Antonio Plaza, & Javier Plaza. (2010). Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7724. 772409–772409. 4 indexed citations
16.
Plaza, Antonio, Javier Plaza, & Abel Paz. (2009). Parallel heterogeneous CBIR system for efficient hyperspectral image retrieval using spectral mixture analysis. Concurrency and Computation Practice and Experience. 22(9). 1138–1159. 17 indexed citations
17.
Paz, Abel, Antonio Plaza, & Javier Plaza. (2009). <title>Comparative analysis of different implementations of a parallel algorithm for automatic target detection and classification of hyperspectral images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7455. 74550X–74550X. 19 indexed citations
18.
Plaza, Antonio, Javier Plaza, & Abel Paz. (2009). Optimization of a Hyperspectral Image Processing Chain Using Heterogeneous and GPU-Based Parallel Computing Architectures. 1 indexed citations
19.
20.
Paz, Abel. (1996). Durruti en la revolución española. Virtual Defense Library (Ministerio de Defensa).

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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