Máximo Cobos

103 papers receiving 1.4k citations

Peers

Máximo Cobos
Comparison fields: 5 of 100
  • Signal Processing 948
  • Developmental Biology 38
  • Speech and Hearing 101
  • Computational Mechanics 260
  • Cognitive Neuroscience 231
Replace José J. López with:
José J. López Spain
Ning Ma United Kingdom
Jitong Chen United States
Alberto González Spain
Maurizio Omologo Italy
Yi Luo China
Alexey Ozerov France
Katsutoshi Itoyama Japan
Nikunj Raghuvanshi United States
Mathieu Lagrange France
Máximo Cobos relative to José J. López Spain José J. López's profile →
Citations per field
00.5×4.2×
José J. López · 1×
Citations per year

Countries citing papers authored by Máximo Cobos

Since Specialization
Citations

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

Fields of papers citing papers by Máximo Cobos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Máximo Cobos, 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 Máximo Cobos Line = papers co-authored together Máximo Cobos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010146
2 2017133
3 201489
4 202063
5 201250
6 201347
7 201935
8 202035
9 202035
10 201434
11 201031
12 202126
13 201525
14 201625
15 201025
16 202024
17 201424
18 202222
19 202022
20 201321

About Máximo Cobos

Máximo Cobos is a scholar working on Signal Processing, Cognitive Neuroscience, Computational Mechanics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 112 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (76 papers), Music and Audio Processing (42 papers), Hearing Loss and Rehabilitation (22 papers), Advanced Adaptive Filtering Techniques (21 papers), Indoor and Outdoor Localization Technologies (14 papers), Acoustic Wave Phenomena Research (14 papers), Blind Source Separation Techniques (12 papers) and Speech Recognition and Synthesis (10 papers). The work is most often cited by research in Signal Processing (948 citations), Developmental Biology (38 citations), Speech and Hearing (101 citations), Computational Mechanics (260 citations) and Cognitive Neuroscience (231 citations). Máximo Cobos has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include José J. López, Fabio Antonacci, Santiago Felici-Castell, Jaume Segura-García, Augusto Sarti, Juan J. Pérez-Solano, Juan M. Navarro, Bowon Lee, Athanasios Mouchtaris and Anastasios Alexandridis. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Signal Processing Letters, Journal of the Audio Engineering Society, IEEE Access and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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