Alejandro Ribés

22 papers receiving 266 citations

Peers

Alejandro Ribés
Comparison fields: 5 of 66
  • Media Technology 44
  • Acoustics and Ultrasonics 4
  • Computer Vision and Pattern Recognition 78
  • Conservation 12
  • Computational Mechanics 64
Replace Ruven Pillay with:
Ruven Pillay France
Luca Calatroni France
Jeff Calder United States
Frédéric Cao France
Christoph Dalitz Germany
Thomas Malzbender United States
G. Wallace United States
Jack W. Tsao Hong Kong
Ajil Jalal United States
Alejandro Ribés relative to Ruven Pillay France Ruven Pillay's profile →
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Countries citing papers authored by Alejandro Ribés

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Ribés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Alejandro Ribés, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alejandro Ribés Line = papers co-authored together Alejandro Ribés links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008110
2 200839
3 200327
4 200825
5 201714
6 201314
7
Color and Multispectral Imaging with the CRISATEL Multispectral System.
20039
8 20059
9
Melissa: Large Scale In Transit Sensitivity Analysis Avoiding Intermediate Files
20177
10 20027
11 20196
12 20145
13 20144
14
Color and spectral imaging with the CRISATEL Acquisition System
20033
15 20202
16 20122
17 20232
18 20141
19 20221
20 20161

About Alejandro Ribés

Alejandro Ribés is a scholar working on Hardware and Architecture, Statistics, Probability and Uncertainty, Computer Networks and Communications, Archeology and Cognitive Neuroscience, having authored 24 papers that have together received 291 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (5 papers), Color Science and Applications (5 papers), Advanced Data Storage Technologies (4 papers), Probabilistic and Robust Engineering Design (3 papers), Cultural Heritage Materials Analysis (3 papers), Aesthetic Perception and Analysis (3 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Media Technology (44 citations), Acoustics and Ultrasonics (4 citations), Computer Vision and Pattern Recognition (78 citations), Conservation (12 citations) and Computational Mechanics (64 citations). Alejandro Ribés has collaborated with scholars based in France, United States and Taiwan. Frequent co-authors include Francis Schmitt, Ruven Pillay, Bertrand Iooss, Bruno Raffin, Franck Lethimonnier, Patrick L Le Roux, Philippe Ciuciu, Denis Le Bihan, Cyril Poupon and Haïda Liang. Their work appears in journals such as IEEE Signal Processing Magazine, Journal of Magnetic Resonance Imaging, Journal of Imaging Science and Technology, Pattern Recognition Letters and Mathematics and visualization.

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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