Antonio M. Peinado
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Ángel M. GómezJosé C. SeguraVictoria SánchezAntonio J. RubioJosé A. GonzálezÁngel de la TorreJosé L. Pérez-CórdobaAlejandro Gomez-Alanis
- Topics
- Speech and Audio Processing (60 papers)Speech Recognition and Synthesis (49 papers)Advanced Data Compression Techniques (28 papers)
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Antonio M. Peinado
97 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Signal Processing 937
- Artificial Intelligence 771
- Computer Vision and Pattern Recognition 398
- Computational Mechanics 167
- Electrical and Electronic Engineering 113
Countries citing papers authored by Antonio M. Peinado
This map shows the geographic impact of Antonio M. Peinado'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 Antonio M. Peinado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio M. Peinado more than expected).
Fields of papers citing papers by Antonio M. Peinado
This network shows the impact of papers produced by Antonio M. Peinado. 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 Antonio M. Peinado. The network helps show where Antonio M. Peinado may publish in the future.
Co-authorship network of co-authors of Antonio M. Peinado
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio M. Peinado. A scholar is included among the top collaborators of Antonio M. Peinado 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 Antonio M. Peinado. Antonio M. Peinado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | 64 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | Feature enhancement for robust speech recognition on smartphones with dual-microphone | 7 |
| 10 | 5 | |
| 11 | 14 | |
| 12 | IMPROVEMENT OF THE AUTONOMOUS AND COOPERATIVE LEARNING IN THE TELECOMMUNICATION ENGINEERING STUDENTS AT THE UNIVERSITY OF MALAGA | 1 |
| 13 | 43 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 189 | |
| 18 | 2 | |
| 19 | 66 | |
| 20 | ALBAYZIN: a task-oriented spanish speech corpus. | 13 |
About Antonio M. Peinado
Antonio M. Peinado is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 102 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (60 papers), Speech Recognition and Synthesis (49 papers) and Advanced Data Compression Techniques (28 papers). The work is most often cited by research in Signal Processing (937 citations), Artificial Intelligence (771 citations) and Computer Vision and Pattern Recognition (398 citations). Antonio M. Peinado has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Ángel M. Gómez, José C. Segura, Victoria Sánchez, Antonio J. Rubio, José A. González, Ángel de la Torre, José L. Pérez-Córdoba, Alejandro Gomez-Alanis, Carmen Benı́tez and Juan M. Martín-Doñas. Their work appears in journals such as IEEE Transactions on Signal Processing, Optics Express and IEEE Access.
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.