C. Brew
Impact in
- Speech and Hearing top 5%
- Noise Effects and Management
- Artificial Intelligence top 5%
- Topic Modeling
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 3
-
- Hearing Loss and Rehabilitation 4
- Co-authors
- Paweł Matykiewicz (2 shared papers)John Pestian (2 shared papers)Kevin Bretonnel Cohen (2 shared papers)Włodzisław Duch (1 shared paper)Neil D. Johnson (1 shared paper)Gitte Keidser (4 shared papers)John F. Hurdle (1 shared paper)Brett R. South (1 shared paper)
- Journals
- International Journal of Audiology (2 papers)IEEE Transactions on Audio Speech and Language Processing (1 paper)The Hearing Journal (1 paper)Elsevier eBooks (1 paper)PubMed (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
C. Brew
11 papers receiving 518 citations
Peers
Comparison fields: 5 of 58
- Speech and Hearing 59
- Artificial Intelligence 335
- Health Information Management 34
- Sensory Systems 30
- Cognitive Neuroscience 116
Countries citing papers authored by C. Brew
This map shows the geographic impact of C. Brew'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 C. Brew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Brew more than expected).
Fields of papers citing papers by C. Brew
This network shows the impact of papers produced by C. Brew. 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 C. Brew. The network helps show where C. Brew may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Brew, 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 | 2007 | 274 | |
| 2 | 2012 | 149 | |
| 3 | 2005 | 40 | |
| 4 | 2002 | 32 | |
| 5 | 2003 | 32 | |
| 6 | 2005 | 21 | |
| 7 | 2009 | 9 | |
| 8 | 2006 | 7 | |
| 9 | 2006 | 5 | |
| 10 | 2008 | 2 | |
| 11 | 2005 | 2 | |
| 12 | 2006 | 1 |
About C. Brew
C. Brew is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Signal Processing, Computer Networks and Communications and Speech and Hearing, having authored 12 papers that have together received 574 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Speech and Audio Processing (4 papers), Hearing Loss and Rehabilitation (4 papers), Noise Effects and Management (3 papers), Natural Language Processing Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Particle Detector Development and Performance (3 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Speech and Hearing (59 citations), Artificial Intelligence (335 citations), Health Information Management (34 citations), Sensory Systems (30 citations) and Cognitive Neuroscience (116 citations). C. Brew has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Paweł Matykiewicz, John Pestian, Kevin Bretonnel Cohen, Włodzisław Duch, Neil D. Johnson, Gitte Keidser, John F. Hurdle, Brett R. South, Özlem Uzuner and Harvey Dillon. Their work appears in journals such as International Journal of Audiology, IEEE Transactions on Audio Speech and Language Processing, The Hearing Journal, Elsevier eBooks and PubMed.
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.