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
-
- Music and Audio Processing 6
- Speech and Audio Processing 5
- Digital Filter Design and Implementation 1
-
- Speech Recognition and Synthesis 8
- Natural Language Processing Techniques 3
- Co-authors
- J. Picone (7 shared papers)Aravind Ganapathiraju (5 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)Bohumir Jelinek (1 shared paper)
- Journals
- IEEE Transactions on Speech and Audio Processing (1 paper)IEEE Signal Processing Magazine (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- United States
In The Last Decade
J. Hamaker
11 papers receiving 303 citations
Peers
Comparison fields: 5 of 64
- Signal Processing 214
- Artificial Intelligence 241
- Computer Vision and Pattern Recognition 78
- Experimental and Cognitive Psychology 45
- Media Technology 15
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 | 194 | |
| 2 | 2001 | 90 | |
| 3 | 2006 | 22 | |
| 4 | 2002 | 12 | |
| 5 | 1999 | 10 | |
| 6 | 2002 | 7 | |
| 7 | 2002 | 5 | |
| 8 | 2002 | 5 | |
| 9 | 2001 | 3 | |
| 10 | 2003 | 1 | |
| 11 | 1999 | 1 |
About J. Hamaker
J. Hamaker is a scholar working on Signal Processing, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Literature and Literary Theory, having authored 11 papers that have together received 350 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers), Natural Language Processing Techniques (3 papers), Phonetics and Phonology Research (1 paper), Educational Tools and Methods (1 paper), Experimental Learning in Engineering (1 paper) and Digital Filter Design and Implementation (1 paper). The work is most often cited by research in Signal Processing (214 citations), Artificial Intelligence (241 citations), Computer Vision and Pattern Recognition (78 citations), Experimental and Cognitive Psychology (45 citations) and Media Technology (15 citations). J. Hamaker has collaborated with scholars based in United States. Frequent co-authors include J. Picone, Aravind Ganapathiraju, George R. Doddington, Xin Lei, Xiaodong He, James Shaffer, J. Godfrey, Bohumir Jelinek, Anthony Skjellum and Ronald A. Cole. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Signal Processing Magazine and IEEE Transactions on Signal Processing.
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.