Daniel Gálvez
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Innovation and Knowledge Management 6
- Sustainable Supply Chain Management 4
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- Speech Recognition and Synthesis 6
- Natural Language Processing Techniques 4
- Co-authors
- Vimal Manohar (1 shared paper)Pegah Ghahremani (1 shared paper)Yiming Wang (1 shared paper)Daniel Povey (1 shared paper)Sanjeev Khudanpur (1 shared paper)Vijayaditya Peddinti (1 shared paper)Xingyu Na (1 shared paper)Maurício Camargo (12 shared papers)
- Journals
- World Patent Information (1 paper)International Journal of Lean Six Sigma (1 paper)Process Safety and Environmental Protection (1 paper)IEEE Access (1 paper)Technological Forecasting and Social Change (1 paper)
- Partner nations
- FranceChileUnited States
In The Last Decade
Daniel Gálvez
21 papers receiving 634 citations
Daniel Gálvez's Hit Papers
Peers
Comparison fields: 5 of 84
- Signal Processing 318
- Artificial Intelligence 457
- Strategy and Management 136
- Management Information Systems 55
- Business and International Management 7
Countries citing papers authored by Daniel Gálvez
This map shows the geographic impact of Daniel Gálvez'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 Gálvez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gálvez more than expected).
Fields of papers citing papers by Daniel Gálvez
This network shows the impact of papers produced by Daniel Gálvez. 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 Gálvez. The network helps show where Daniel Gálvez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gálvez, 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 | Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI Hit paper breakdown → | 2016 | 458 |
| 2 | 2015 | 55 | |
| 3 | 2016 | 50 | |
| 4 | 2018 | 39 | |
| 5 | 2020 | 26 | |
| 6 | 2013 | 26 | |
| 7 | 2022 | 15 | |
| 8 | 2018 | 10 | |
| 9 | Multilingual Spoken Words Corpus | 2021 | 7 |
| 10 | 2020 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2013 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Daniel Gálvez
Daniel Gálvez is a scholar working on Strategy and Management, Artificial Intelligence, Signal Processing, Management Information Systems and Economics and Econometrics, having authored 23 papers that have together received 718 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Innovation and Knowledge Management (6 papers), Natural Language Processing Techniques (4 papers), Sustainable Supply Chain Management (4 papers), Quality and Supply Management (2 papers), E-Learning and Knowledge Management (2 papers), Music and Audio Processing (2 papers) and Outsourcing and Supply Chain Management (2 papers). The work is most often cited by research in Signal Processing (318 citations), Artificial Intelligence (457 citations), Strategy and Management (136 citations), Management Information Systems (55 citations) and Business and International Management (7 citations). Daniel Gálvez has collaborated with scholars based in France, Chile and United States. Frequent co-authors include Vimal Manohar, Pegah Ghahremani, Yiming Wang, Daniel Povey, Sanjeev Khudanpur, Vijayaditya Peddinti, Xingyu Na, Maurício Camargo, Laure Morel and Michel Fick. Their work appears in journals such as World Patent Information, International Journal of Lean Six Sigma, Process Safety and Environmental Protection, IEEE Access and Technological Forecasting and Social Change.
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.