Nash Borges
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
Papers in
-
- Anomaly Detection Techniques and Applications 4
- Speech Recognition and Synthesis 2
- Speech and dialogue systems 2
-
- Speech and Audio Processing 3
- Music and Audio Processing 2
- Co-authors
- Karen Livescu (3 shared papers)Özgür Çetin (3 shared papers)Simon King (3 shared papers)Joe Frankel (3 shared papers)Mathew Magimai.-Doss (3 shared papers)Xuemin Chi (2 shared papers)Luc Lavoie (1 shared paper)Allen L. Gorin (2 shared papers)
- Journals
- Computer Speech & Language (1 paper)Edinburgh Research Explorer (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Nash Borges
9 papers receiving 1.7k citations
Nash Borges's Hit Papers
Peers
Comparison fields: 5 of 131
- Signal Processing 593
- Computer Vision and Pattern Recognition 527
- Artificial Intelligence 669
- Computational Mathematics 12
- Computational Mechanics 186
Countries citing papers authored by Nash Borges
This map shows the geographic impact of Nash Borges'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 Nash Borges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nash Borges more than expected).
Fields of papers citing papers by Nash Borges
This network shows the impact of papers produced by Nash Borges. 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 Nash Borges. The network helps show where Nash Borges may publish in the future.
Co-authors
The 15 scholars most cited alongside Nash Borges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007) Hit paper breakdown → | 2007 | 1622 |
| 2 | 2007 | 72 | |
| 3 | 2009 | 12 | |
| 4 | 2007 | 10 | |
| 5 | 2011 | 10 | |
| 6 | 2008 | 9 | |
| 7 | 2011 | 5 | |
| 8 | 2009 | 1 | |
| 9 | 2009 | 1 |
About Nash Borges
Nash Borges is a scholar working on Artificial Intelligence, Signal Processing, Civil and Structural Engineering, Linguistics and Language and Language and Linguistics, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Speech and Audio Processing (3 papers), Linguistic Variation and Morphology (2 papers), Water Systems and Optimization (2 papers), Language, Discourse, Communication Strategies (2 papers), Music and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Signal Processing (593 citations), Computer Vision and Pattern Recognition (527 citations), Artificial Intelligence (669 citations), Computational Mathematics (12 citations) and Computational Mechanics (186 citations). Nash Borges has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Karen Livescu, Özgür Çetin, Simon King, Joe Frankel, Mathew Magimai.-Doss, Xuemin Chi, Luc Lavoie, Allen L. Gorin, Mark Hasegawa‐Johnson and Kate Saenko. Their work appears in journals such as Computer Speech & Language and Edinburgh Research Explorer.
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.