Albert Sanchís

581 total citations
27 papers, 327 citations indexed

About

Albert Sanchís is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Albert Sanchís has authored 27 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Albert Sanchís's work include Speech Recognition and Synthesis (20 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (7 papers). Albert Sanchís is often cited by papers focused on Speech Recognition and Synthesis (20 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (7 papers). Albert Sanchís collaborates with scholars based in Spain and Germany. Albert Sanchís's co-authors include Alfons Juan, Jorge Civera, Adrià Giménez, Enrique Vidal, Francisco Casacuberta, Nicolás Serrano, Hermann Ney, Sirko Molau, Juan Miguel Vilar and David Llorens and has published in prestigious journals such as Neural Networks, Pattern Recognition Letters and Applied Sciences.

In The Last Decade

Albert Sanchís

27 papers receiving 291 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Albert Sanchís Spain 11 293 67 52 10 10 27 327
Matthias Paulik United States 11 335 1.1× 38 0.6× 51 1.0× 7 0.7× 10 1.0× 30 348
Kofi Boakye United States 8 204 0.7× 148 2.2× 48 0.9× 9 0.9× 4 0.4× 16 259
Carlos-D. Martínez-Hinarejos Spain 9 167 0.6× 31 0.5× 99 1.9× 5 0.5× 20 2.0× 40 234
Klaus Macherey Germany 9 534 1.8× 192 2.9× 57 1.1× 16 1.6× 3 0.3× 13 550
Genichiro Kikui Japan 13 593 2.0× 36 0.5× 61 1.2× 34 3.4× 21 2.1× 51 610
Stephan Kanthak Germany 13 439 1.5× 183 2.7× 37 0.7× 6 0.6× 5 0.5× 20 454
Kashif Shah United Kingdom 10 311 1.1× 21 0.3× 51 1.0× 36 3.6× 9 0.9× 24 328
Igor Malioutov United States 6 274 0.9× 90 1.3× 57 1.1× 26 2.6× 8 0.8× 11 313
Viresh Ratnakar United States 6 189 0.6× 26 0.4× 106 2.0× 18 1.8× 7 0.7× 14 266
Adrià Giménez Spain 11 209 0.7× 63 0.9× 102 2.0× 8 0.8× 10 1.0× 23 272

Countries citing papers authored by Albert Sanchís

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Albert Sanchís

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Sanchís. A scholar is included among the top collaborators of Albert Sanchís 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 Albert Sanchís. Albert Sanchís is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Giménez, Adrià, et al.. (2025). Speech translation for multilingual medical education leveraged by large language models. Artificial Intelligence in Medicine. 166. 103147–103147. 1 indexed citations
2.
Sanchís, Albert, et al.. (2022). MLLP-VRAIN UPV systems for the IWSLT 2022 Simultaneous Speech Translation and Speech-to-Speech Translation tasks. RiuNet (Universitat Politècnica de València). 255–264. 3 indexed citations
3.
Giménez, Adrià, et al.. (2022). MLLP-VRAIN Spanish ASR Systems for the Albayzín-RTVE 2020 Speech-to-Text Challenge: Extension. Applied Sciences. 12(2). 804–804. 1 indexed citations
4.
Sanchís, Albert, et al.. (2021). VRAIN-UPV MLLP’s system for the Blizzard Challenge 2021. 31–35. 2 indexed citations
5.
Giménez, Adrià, et al.. (2021). Streaming cascade-based speech translation leveraged by a direct segmentation model. Neural Networks. 142. 303–315. 10 indexed citations
6.
Giménez, Adrià, et al.. (2021). Towards cross-lingual voice cloning in higher education. Engineering Applications of Artificial Intelligence. 105. 104413–104413. 6 indexed citations
7.
Giménez, Adrià, et al.. (2021). MLLP-VRAIN Spanish ASR Systems for the Albayzin-RTVE 2020 Speech-To-Text Challenge. RiuNet (Politechnical University of Valencia). 118–122. 3 indexed citations
8.
Civera, Jorge, et al.. (2021). Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/Verbatimization. RiuNet (Politechnical University of Valencia). 3695–3699. 4 indexed citations
9.
Giménez, Adrià, et al.. (2020). Europarl-ST: A Multilingual Corpus for Speech Translation of Parliamentary Debates. RiuNet (Universitat Politècnica de València). 78 indexed citations
10.
Giménez, Adrià, et al.. (2020). LSTM-Based One-Pass Decoder for Low-Latency Streaming. RiuNet (Politechnical University of Valencia). 7814–7818. 11 indexed citations
11.
Giménez, Adrià, et al.. (2019). Real-Time One-Pass Decoder for Speech Recognition Using LSTM Language Models. RiuNet (Politechnical University of Valencia). 3820–3824. 15 indexed citations
12.
Giménez, Adrià, et al.. (2018). Speaker-Adapted Confidence Measures for ASR Using Deep Bidirectional Recurrent Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(7). 1198–1206. 19 indexed citations
13.
Golik, Pavel, Adrià Giménez, Patrick Doetsch, et al.. (2018). MLLP-UPV and RWTH Aachen Spanish ASR Systems for the IberSpeech-RTVE 2018 Speech-to-Text Transcription Challenge. 257–261. 5 indexed citations
14.
Civera, Jorge, et al.. (2013). Effective balancing error and user effort in interactive handwriting recognition. Pattern Recognition Letters. 37. 135–142. 2 indexed citations
15.
Sanchís, Albert, Alfons Juan, & Enrique Vidal. (2011). A Word-Based Naïve Bayes Classifier for Confidence Estimation in Speech Recognition. IEEE Transactions on Audio Speech and Language Processing. 21 indexed citations
16.
Serrano, Nicolás, Adrià Giménez, Albert Sanchís, & Alfons Juan. (2010). Active learning strategies for handwritten text transcription. 1–4. 4 indexed citations
17.
Sanchís, Albert, Alfons Juan, & Enrique Vidal. (2003). Improving utterance verification using a smoothed naive Bayes model. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. I–592. 10 indexed citations
18.
Casacuberta, Francisco, David Llorens, Sirko Molau, et al.. (2002). Speech-to-speech translation based on finite-state transducers. 1. 613–616. 25 indexed citations
19.
Sanchís, Albert, Víctor Jiménez, & Enrique Vidal. (2002). Efficient use of the grammar scale factor to classify incorrect words in speech recognition verification. 3. 274–277. 5 indexed citations
20.
Sanchís, Albert, et al.. (2001). Eutrans: a speech-to-speech translator prototype. 2385–2388. 5 indexed citations

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.

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