Jerónimo Arenas‐García

81 papers receiving 2.1k citations

Peers

Jerónimo Arenas‐García
Comparison fields: 5 of 98
  • Computational Mechanics 1.5k
  • Signal Processing 1.4k
  • Artificial Intelligence 402
  • Computer Vision and Pattern Recognition 308
  • Control and Systems Engineering 250
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Puskal P. Pokharel United States
Felix Albu Romania
Haiquan Zhao China
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Fuliang Yin China
Wasfy B. Mikhael United States
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Citations per year

Countries citing papers authored by Jerónimo Arenas‐García

Since Specialization
Citations

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

Fields of papers citing papers by Jerónimo Arenas‐García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerónimo Arenas‐García. 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 Jerónimo Arenas‐García. The network helps show where Jerónimo Arenas‐García may publish in the future.

Co-authorship network of co-authors of Jerónimo Arenas‐García

This figure shows the co-authorship network connecting the top 25 collaborators of Jerónimo Arenas‐García. A scholar is included among the top collaborators of Jerónimo Arenas‐García 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 Jerónimo Arenas‐García. Jerónimo Arenas‐García 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
#WorkIndexed citations
1 1
2 0
3 0
4
Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing
4
5 4
6 17
7 56
8
Improved least-squares-based combiners for diffusion networks
2
9 5
10 47
11
Improved Acoustic Echo Cancellation for low SNR based on blockwise combination of filters
3
12 4
13 9
14 14
15 30
16 12
17 2
18
Boosting by weighting boundary and erroneous samples.
3
19 78
20 6

About Jerónimo Arenas‐García

Jerónimo Arenas‐García is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (51 papers), Speech and Audio Processing (46 papers) and Blind Source Separation Techniques (44 papers). The work is most often cited by research in Signal Processing (1.4k citations), Computational Mechanics (1.5k citations) and Computer Vision and Pattern Recognition (308 citations). Jerónimo Arenas‐García has collaborated with scholars based in Spain, Brazil and Italy. Frequent co-authors include Anı́bal R. Figueiras-Vidal, Luis A. Azpicueta-Ruiz, Ali H. Sayed, Vanessa Gómez-Verdejo, A. Navia-Vázquez, Magno T. M. Silva, Fernando Pérez‐Cruz, Aurelio Uncini, Danilo Comminiello and Michele Scarpiniti. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

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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