Albert Sanchís
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
- Algorithms and Data Compression
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Speech Recognition and Synthesis 20
- Natural Language Processing Techniques 18
- Topic Modeling 7
- Speech and dialogue systems 6
- Machine Learning and Algorithms 2
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- Music and Audio Processing 6
- Speech and Audio Processing 5
- Co-authors
- Alfons Juan (21 shared papers)Adrià Giménez (13 shared papers)Jorge Civera (13 shared papers)Enrique Vidal (7 shared papers)Francisco Casacuberta (4 shared papers)Nicolás Serrano (3 shared papers)Hermann Ney (3 shared papers)María Luisa Carrió Pastor (2 shared papers)
In The Last Decade
Albert Sanchís
27 papers receiving 291 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 293
- Signal Processing 67
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 52
- Health Informatics 2
Countries citing papers authored by Albert Sanchís
This map shows the geographic impact of Albert Sanchís'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 Albert Sanchís with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Sanchís more than expected).
Fields of papers citing papers by Albert Sanchís
This network shows the impact of papers produced by Albert Sanchís. 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 Albert Sanchís. The network helps show where Albert Sanchís may publish in the future.
Co-authors
The 22 scholars most cited alongside Albert Sanchís, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2003 | 45 | |
| 3 | 2002 | 25 | |
| 4 | 2011 | 21 | |
| 5 | 2018 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2010 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2003 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2009 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2001 | 5 | |
| 16 | 2002 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2010 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 3 |
About Albert Sanchís
Albert Sanchís is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Language and Linguistics, having authored 27 papers that have together received 327 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (20 papers), Natural Language Processing Techniques (18 papers), Topic Modeling (7 papers), Speech and dialogue systems (6 papers), Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers), Handwritten Text Recognition Techniques (3 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (293 citations), Signal Processing (67 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (52 citations) and Health Informatics (2 citations). Albert Sanchís has collaborated with scholars based in Spain and Germany. Frequent co-authors include Alfons Juan, Adrià Giménez, Jorge Civera, Enrique Vidal, Francisco Casacuberta, Nicolás Serrano, Hermann Ney, María Luisa Carrió Pastor, Juan Miguel Vilar and Sirko Molau. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Artificial Intelligence in Medicine, Applied Sciences, Computer Speech & Language and Engineering Applications of Artificial Intelligence.
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.