Victoria Sánchez
- Developmental Neuroscience top 1%
- Critical Care and Intensive Care Medicine top 1%
- Anesthesiology and Pain Medicine top 1%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Antonio M. PeinadoAnnalisa BoscoloVesna Jevtović‐TodorovićNadia LunardiÁngel M. GómezAntonio J. RubioAlev ErişirJosé L. Pérez-Córdoba
- Topics
- Advanced Data Compression Techniques (21 papers)Speech and Audio Processing (19 papers)Speech Recognition and Synthesis (18 papers)
- Cited by
- Developmental NeuroscienceCritical Care and Intensive Care MedicineAnesthesiology and Pain Medicine
- Partner nations
- SpainUnited StatesDenmark
In The Last Decade
Victoria Sánchez
52 papers receiving 869 citations
Peers
Comparison fields: 5 of 85
- Developmental Neuroscience 384
- Critical Care and Intensive Care Medicine 321
- Anesthesiology and Pain Medicine 264
- Signal Processing 216
- Computer Vision and Pattern Recognition 209
Countries citing papers authored by Victoria Sánchez
This map shows the geographic impact of Victoria Sánchez'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 Victoria Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Sánchez more than expected).
Fields of papers citing papers by Victoria Sánchez
This network shows the impact of papers produced by Victoria Sánchez. 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 Victoria Sánchez. The network helps show where Victoria Sánchez may publish in the future.
Co-authorship network of co-authors of Victoria Sánchez
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Sánchez. A scholar is included among the top collaborators of Victoria Sánchez 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 Victoria Sánchez. Victoria Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 130 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | Power plant domain representation for operator intelligent training systems | 4 |
| 20 | 9 |
About Victoria Sánchez
Victoria Sánchez is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Developmental Neuroscience, having authored 56 papers that have together received 897 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (21 papers), Speech and Audio Processing (19 papers) and Speech Recognition and Synthesis (18 papers). The work is most often cited by research in Developmental Neuroscience (384 citations), Critical Care and Intensive Care Medicine (321 citations) and Anesthesiology and Pain Medicine (264 citations). Victoria Sánchez has collaborated with scholars based in Spain, United States and Denmark. Frequent co-authors include Antonio M. Peinado, Annalisa Boscolo, Vesna Jevtović‐Todorović, Nadia Lunardi, Ángel M. Gómez, Antonio J. Rubio, Alev Erişir, José L. Pérez-Córdoba, José C. Segura and Slobodan M. Todorovic. Their work appears in journals such as PLoS ONE, IEEE Transactions on Signal Processing and Anesthesiology.
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.