J. Hamaker
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Neural Networks and Applications
Papers in
-
- Speech and Audio Processing 6
- Music and Audio Processing 6
-
- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 3
- Co-authors
- Joseph Picone (8 shared papers)Aravind Ganapathiraju (6 shared papers)George R. Doddington (1 shared paper)Xin Lei (1 shared paper)Xiaodong He (1 shared paper)James Shaffer (1 shared paper)J. Godfrey (1 shared paper)Anthony Skjellum (1 shared paper)
- Journals
- IEEE Signal Processing Magazine (1 paper)IEEE Transactions on Speech and Audio Processing (1 paper)IEEE Transactions on Signal Processing (1 paper)IGI Global eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
J. Hamaker
12 papers receiving 339 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 231
- Artificial Intelligence 264
- Computer Vision and Pattern Recognition 91
- Experimental and Cognitive Psychology 46
- Media Technology 16
Countries citing papers authored by J. Hamaker
This map shows the geographic impact of J. Hamaker'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 J. Hamaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Hamaker more than expected).
Fields of papers citing papers by J. Hamaker
This network shows the impact of papers produced by J. Hamaker. 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 J. Hamaker. The network helps show where J. Hamaker may publish in the future.
Co-authors
The 12 scholars most cited alongside J. Hamaker, 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 | 2004 | 216 | |
| 2 | 2001 | 98 | |
| 3 | 2006 | 24 | |
| 4 | 2002 | 13 | |
| 5 | 1999 | 12 | |
| 6 | 2002 | 7 | |
| 7 | 2002 | 6 | |
| 8 | 2002 | 4 | |
| 9 | 2001 | 3 | |
| 10 | 2003 | 1 | |
| 11 | 2007 | 1 | |
| 12 | 1999 | 1 |
About J. Hamaker
J. Hamaker is a scholar working on Signal Processing, Artificial Intelligence, Computational Theory and Mathematics, Safety Research and Media Technology, having authored 12 papers that have together received 386 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (6 papers), Music and Audio Processing (6 papers), Natural Language Processing Techniques (3 papers), Educational Tools and Methods (1 paper), Sensor Technology and Measurement Systems (1 paper), Numerical Methods and Algorithms (1 paper) and Mathematics, Computing, and Information Processing (1 paper). The work is most often cited by research in Signal Processing (231 citations), Artificial Intelligence (264 citations), Computer Vision and Pattern Recognition (91 citations), Experimental and Cognitive Psychology (46 citations) and Media Technology (16 citations). J. Hamaker has collaborated with scholars based in United States. Frequent co-authors include Joseph Picone, Aravind Ganapathiraju, George R. Doddington, Xin Lei, Xiaodong He, James Shaffer, J. Godfrey, Anthony Skjellum, Bohumir Jelinek and Ronald A. Cole. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Signal Processing and IGI Global eBooks.
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.