Máximo Cobos

1.9k total citations
104 papers, 1.3k citations indexed

About

Máximo Cobos is a scholar working on Signal Processing, Cognitive Neuroscience and Computational Mechanics. According to data from OpenAlex, Máximo Cobos has authored 104 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Signal Processing, 23 papers in Cognitive Neuroscience and 21 papers in Computational Mechanics. Recurrent topics in Máximo Cobos's work include Speech and Audio Processing (74 papers), Music and Audio Processing (39 papers) and Advanced Adaptive Filtering Techniques (21 papers). Máximo Cobos is often cited by papers focused on Speech and Audio Processing (74 papers), Music and Audio Processing (39 papers) and Advanced Adaptive Filtering Techniques (21 papers). Máximo Cobos collaborates with scholars based in Spain, Italy and United States. Máximo Cobos's co-authors include José J. López, Fabio Antonacci, Santiago Felici-Castell, Jaume Segura-García, Juan M. Navarro, Juan J. Pérez-Solano, Augusto Sarti, Bowon Lee, Athanasios Mouchtaris and Anastasios Alexandridis and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Máximo Cobos

96 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Máximo Cobos Spain 20 906 325 252 218 174 104 1.3k
José J. López Spain 16 590 0.7× 245 0.8× 258 1.0× 243 1.1× 284 1.6× 112 968
Ning Ma United Kingdom 19 885 1.0× 172 0.5× 232 0.9× 227 1.0× 82 0.5× 96 1.2k
Alberto González Spain 22 917 1.0× 350 1.1× 926 3.7× 200 0.9× 456 2.6× 172 1.6k
Rudolf Rabenstein Germany 18 820 0.9× 270 0.8× 461 1.8× 282 1.3× 315 1.8× 141 1.2k
Nikunj Raghuvanshi United States 16 457 0.5× 71 0.2× 78 0.3× 258 1.2× 223 1.3× 42 1.1k
Martin Bouchard Canada 17 743 0.8× 120 0.4× 710 2.8× 134 0.6× 288 1.7× 102 1.2k
Jitong Chen United States 14 1.7k 1.9× 94 0.3× 649 2.6× 506 2.3× 82 0.5× 21 1.9k
Felix Albu Romania 25 1.2k 1.3× 126 0.4× 1.2k 4.8× 105 0.5× 229 1.3× 124 1.9k
Maurizio Omologo Italy 24 1.8k 2.0× 524 1.6× 601 2.4× 126 0.6× 101 0.6× 119 2.2k
Alexey Ozerov France 16 1.7k 1.8× 89 0.3× 772 3.1× 142 0.7× 112 0.6× 51 1.8k

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-authorship network of co-authors of Máximo Cobos

This figure shows the co-authorship network connecting the top 25 collaborators of Máximo Cobos. A scholar is included among the top collaborators of Máximo Cobos 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 Máximo Cobos. Máximo Cobos 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.
Roger, Sandra, et al.. (2025). Deep-Learning-Based AoA and AoD Estimation in Analog Millimeter Wave MIMO Systems. IEEE Transactions on Vehicular Technology. 1–11.
2.
3.
Cobos, Máximo, et al.. (2023). Zero-Shot Anomalous Sound Detection in Domestic Environments Using Large-Scale Pretrained Audio Pattern Recognition Models. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 20. 1–5.
4.
Roger, Sandra, Mattia Brambilla, Bernardo Camajori Tedeschini, et al.. (2023). Deep-Learning-Based Radio Map Reconstruction for V2X Communications. IEEE Transactions on Vehicular Technology. 73(3). 3863–3871. 16 indexed citations
5.
Segura-García, Jaume, et al.. (2023). An AI-IoT Platform for Psycho-Acoustic Annoyance Assessment on the Edge. 1–7.
6.
Cobos, Máximo, et al.. (2020). Frequency-Sliding Generalized Cross-Correlation: A Sub-Band Time Delay Estimation Approach. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 56 indexed citations
7.
Cobos, Máximo, et al.. (2020). Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 21 indexed citations
8.
Ferri, Francesc J., et al.. (2020). A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification. IEEE Access. 8. 188875–188882. 6 indexed citations
9.
Cobos, Máximo, et al.. (2019). DCASE 2019: CNN depth analysis with different channel inputs for Acoustic Scene Classification. arXiv (Cornell University). 3 indexed citations
10.
Cobos, Máximo & Sandra Roger. (2019). SART3D: A MATLAB toolbox for spatial audio and signal processing education. Computer Applications in Engineering Education. 27(4). 971–985. 3 indexed citations
11.
Arevalillo‐Herráez, Miguel, Máximo Cobos, Sandra Roger, & Miguel García. (2019). Combining Inter-Subject Modeling with a Subject-Based Data Transformation to Improve Affect Recognition from EEG Signals. Sensors. 19(13). 2999–2999. 31 indexed citations
12.
Segura-García, Jaume, et al.. (2018). Spatio-Temporal Analysis of Urban Acoustic Environments with Binaural Psycho-Acoustical Considerations for IoT-Based Applications. Sensors. 18(3). 690–690. 16 indexed citations
13.
Segura-García, Jaume, et al.. (2015). Psychoacoustic Annoyance Monitoring with WASN for Assessment in Urban Areas. Journal of the Audio Engineering Society. 1 indexed citations
14.
Cobos, Máximo, et al.. (2012). Evaluating the Influence of Source Separation Methods in Robust Automatic Speech Recognition with a Specific Cocktail-Party Training. Journal of the Audio Engineering Society. 1 indexed citations
15.
Cobos, Máximo, et al.. (2011). A Real-Time Sound Source Localization and Enhancement System Using Distributed Microphones. Journal of the Audio Engineering Society. 1 indexed citations
16.
Cobos, Máximo, Sandra Roger, José López López, & Alberto González. (2009). Final year projects in electrical and information engineering: Tips for students and supervisors. 1–5. 4 indexed citations
17.
López, José J., Máximo Cobos, & Basílio Pueo. (2009). Rear and side reproduction of elevated sources in Wave-Field Synthesis. European Signal Processing Conference. 804–808. 1 indexed citations
18.
Cobos, Máximo & José J. López. (2009). Resynthesis of Sound Scenes on Wave-Field Synthesis from Stereo Mixtures Using Sound Source Separation Algorithms. Journal of the Audio Engineering Society. 57(3). 91–110. 3 indexed citations
19.
Cobos, Máximo, José Escolano, José J. López, & Basílio Pueo. (2008). Subjective Effects of Dispersion in the Simulation of Room Acoustics Using Digital Waveguide Mesh. Journal of the Audio Engineering Society. 6 indexed citations
20.
Cobos, Máximo & José J. López. (2008). Singing Voice Separation Combining Panning Information and Pitch Tracking. Journal of the Audio Engineering Society. 2 indexed citations

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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