Adrià Giménez
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Speech Recognition and Synthesis 13
- Natural Language Processing Techniques 7
- Topic Modeling 4
- Speech and dialogue systems 3
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- Music and Audio Processing 7
- Speech and Audio Processing 6
- Co-authors
- Alfons Juan (23 shared papers)Jorge Civera (14 shared papers)Albert Sanchís (13 shared papers)Nicolás Serrano (2 shared papers)Alberto Sanchís (2 shared papers)Hermann Ney (2 shared papers)Patrick Doetsch (2 shared papers)Carlos Turró (1 shared paper)
In The Last Decade
Adrià Giménez
23 papers receiving 245 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 209
- Signal Processing 63
- Computer Vision and Pattern Recognition 102
- Computational Mathematics 2
- Media Technology 18
Countries citing papers authored by Adrià Giménez
This map shows the geographic impact of Adrià Giménez'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 Adrià Giménez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrià Giménez more than expected).
Fields of papers citing papers by Adrià Giménez
This network shows the impact of papers produced by Adrià Giménez. 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 Adrià Giménez. The network helps show where Adrià Giménez may publish in the future.
Co-authors
The 9 scholars most cited alongside Adrià Giménez, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2012 | 23 | |
| 3 | 2018 | 19 | |
| 4 | 2009 | 16 | |
| 5 | 2021 | 16 | |
| 6 | 2019 | 15 | |
| 7 | 2010 | 15 | |
| 8 | 2013 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2012 | 8 | |
| 13 | 2011 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2014 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2010 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2016 | 2 |
About Adrià Giménez
Adrià Giménez is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 272 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (7 papers), Handwritten Text Recognition Techniques (7 papers), Music and Audio Processing (7 papers), Speech and Audio Processing (6 papers), Topic Modeling (4 papers), Speech and dialogue systems (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Artificial Intelligence (209 citations), Signal Processing (63 citations), Computer Vision and Pattern Recognition (102 citations), Computational Mathematics (2 citations) and Media Technology (18 citations). Adrià Giménez has collaborated with scholars based in Spain and Germany. Frequent co-authors include Alfons Juan, Jorge Civera, Albert Sanchís, Nicolás Serrano, Alberto Sanchís, Hermann Ney, Patrick Doetsch, Carlos Turró and Pavel Golik. Their work appears in journals such as Pattern Recognition Letters, IEEE/ACM Transactions on Audio Speech and Language Processing, Artificial Intelligence in Medicine, Applied Sciences and Transactions of the Association for Computational Linguistics.
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.