Daniel Palacios‐Alonso
- Physiology
- Signal Processing top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Neurology
- Co-authors
- Pedro Gómez‐VildaV. RodellarCristina CondeEnrique CabelloAgustín Álvarez-MarquinaJiří MekyskaA. GómezJosé Manuel Ferrández
- Topics
- Voice and Speech Disorders (18 papers)Speech Recognition and Synthesis (10 papers)Phonetics and Phonology Research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Radiation Oncology*Biology*PhysicsIEEE Access
- Partner nations
- SpainCzechiaUnited Kingdom
In The Last Decade
Daniel Palacios‐Alonso
39 papers receiving 274 citations
Peers
Comparison fields: 5 of 75
- Physiology 112
- Signal Processing 80
- Artificial Intelligence 62
- Computer Vision and Pattern Recognition 55
- Neurology 46
Countries citing papers authored by Daniel Palacios‐Alonso
This map shows the geographic impact of Daniel Palacios‐Alonso'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 Daniel Palacios‐Alonso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Palacios‐Alonso more than expected).
Fields of papers citing papers by Daniel Palacios‐Alonso
This network shows the impact of papers produced by Daniel Palacios‐Alonso. 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 Daniel Palacios‐Alonso. The network helps show where Daniel Palacios‐Alonso may publish in the future.
Co-authorship network of co-authors of Daniel Palacios‐Alonso
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Palacios‐Alonso. A scholar is included among the top collaborators of Daniel Palacios‐Alonso 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 Daniel Palacios‐Alonso. Daniel Palacios‐Alonso 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 20 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 4 | |
| 20 | 44 |
About Daniel Palacios‐Alonso
Daniel Palacios‐Alonso is a scholar working on Signal Processing, Computer Science Applications and Speech and Hearing, having authored 47 papers that have together received 280 indexed citations. Recurring topics across this work include Voice and Speech Disorders (18 papers), Speech Recognition and Synthesis (10 papers) and Phonetics and Phonology Research (8 papers). The work is most often cited by research in Signal Processing (80 citations), Speech and Hearing (34 citations) and Computer Science Applications (24 citations). Daniel Palacios‐Alonso has collaborated with scholars based in Spain, Czechia and United Kingdom. Frequent co-authors include Pedro Gómez‐Vilda, V. Rodellar, Cristina Conde, Enrique Cabello, Agustín Álvarez-Marquina, Jiří Mekyska, A. Gómez, José Manuel Ferrández, Irena Rektorová and J. Ángel Velázquez‐Iturbide. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics 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.