Ángel M. Gómez
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Co-authors
- Antonio M. PeinadoJosé A. GonzálezAlejandro Gomez-AlanisJuan M. Martín-DoñasVictoria SánchezJosé L. Pérez-CórdobaVictoria A. SanchezRoeland C. H. J. van Ham
- Topics
- Speech and Audio Processing (47 papers)Speech Recognition and Synthesis (28 papers)Advanced Data Compression Techniques (21 papers)
- Partner nations
- SpainUnited KingdomDenmark
In The Last Decade
Ángel M. Gómez
71 papers receiving 813 citations
Peers
Comparison fields: 5 of 81
- Signal Processing 490
- Artificial Intelligence 332
- Molecular Biology 180
- Computer Vision and Pattern Recognition 158
- Computational Mechanics 94
Countries citing papers authored by Ángel M. Gómez
This map shows the geographic impact of Ángel M. Gómez'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 Ángel M. Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángel M. Gómez more than expected).
Fields of papers citing papers by Ángel M. Gómez
This network shows the impact of papers produced by Ángel M. Gómez. 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 Ángel M. Gómez. The network helps show where Ángel M. Gómez may publish in the future.
Co-authorship network of co-authors of Ángel M. Gómez
This figure shows the co-authorship network connecting the top 25 collaborators of Ángel M. Gómez. A scholar is included among the top collaborators of Ángel M. Gómez 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 Ángel M. Gómez. Ángel M. Gómez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 26 | |
| 5 | 5 | |
| 6 | 79 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 64 | |
| 10 | 3 | |
| 11 | 48 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | Feature enhancement for robust speech recognition on smartphones with dual-microphone | 7 |
| 16 | Source-based error mitigation for speech transmissions over erasure channels | 3 |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 13 |
About Ángel M. Gómez
Ángel M. Gómez is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 76 papers that have together received 845 indexed citations. Recurring topics across this work include Speech and Audio Processing (47 papers), Speech Recognition and Synthesis (28 papers) and Advanced Data Compression Techniques (21 papers). The work is most often cited by research in Signal Processing (490 citations), Artificial Intelligence (332 citations) and Computer Vision and Pattern Recognition (158 citations). Ángel M. Gómez has collaborated with scholars based in Spain, United Kingdom and Denmark. Frequent co-authors include Antonio M. Peinado, José A. González, Alejandro Gomez-Alanis, Juan M. Martín-Doñas, Victoria Sánchez, José L. Pérez-Córdoba, Victoria A. Sanchez, Roeland C. H. J. van Ham, Antonio J. Rubio and Marcel Reinders. Their work appears in journals such as Bioinformatics, Journal of Medicinal Chemistry 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.