Judith C. Brown
Impact in
- Signal Processing top 0.2%
- Music and Audio Processing
- Speech and Audio Processing
- Blind Source Separation Techniques
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
Papers in
-
- Music and Audio Processing 21
- Speech and Audio Processing 15
-
- Cell Adhesion Molecules Research 12
- Co-authors
- Rupert TimplParis SmaragdisCaroline Walker BynumP. N. PuseyMiller PuckettePeter J. SadlerJimmy D. BellR. Dietz
- Journals
- The Journal of the Acoustical Society of America (27 papers)The American Historical Review (7 papers)Matrix Biology (3 papers)The Journal of Economic History (3 papers)FEBS Letters (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Judith C. Brown
100 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Signal Processing 1.7k
- Immunology and Allergy 839
- Developmental Biology 141
- Classics 174
- Computer Vision and Pattern Recognition 952
Countries citing papers authored by Judith C. Brown
This map shows the geographic impact of Judith C. Brown'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 Judith C. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith C. Brown more than expected).
Fields of papers citing papers by Judith C. Brown
This network shows the impact of papers produced by Judith C. Brown. 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 Judith C. Brown. The network helps show where Judith C. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith C. Brown, 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 | 2014 | 28 | |
| 2 | 2010 | 8 | |
| 3 | 2005 | 13 | |
| 4 | 1998 | 25 | |
| 5 | 1997 | 133 | |
| 6 | 1995 | 114 | |
| 7 | 1994 | 83 | |
| 8 | 1994 | 27 | |
| 9 | 1994 | 329 | |
| 10 | 1992 | 13 | |
| 11 | 1991 | 23 | |
| 12 | 1989 | 34 | |
| 13 | 1989 | 11 | |
| 14 | NMR Spectroscopy of body fluids | 1988 | 8 |
| 15 | 1988 | 95 | |
| 16 | 1988 | 31 | |
| 17 | 1988 | 26 | |
| 18 | Musical Information from a Narrowed Autocorrelation Function | 1987 | 1 |
| 19 | 1987 | 5 | |
| 20 | 1984 | 2 |
About Judith C. Brown
Judith C. Brown is a scholar working on Signal Processing, Immunology and Allergy, Developmental Biology, Computer Vision and Pattern Recognition and History, having authored 106 papers that have together received 6.3k indexed citations. Recurring topics across this work include Music and Audio Processing (21 papers), Music Technology and Sound Studies (16 papers), Speech and Audio Processing (15 papers), Cell Adhesion Molecules Research (12 papers), Advanced MRI Techniques and Applications (8 papers), Marine animal studies overview (7 papers), Underwater Acoustics Research (7 papers) and NMR spectroscopy and applications (7 papers). The work is most often cited by research in Signal Processing (1.7k citations), Immunology and Allergy (839 citations), Developmental Biology (141 citations), Classics (174 citations) and Computer Vision and Pattern Recognition (952 citations). Judith C. Brown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rupert Timpl, Paris Smaragdis, Rupert Timpl, Caroline Walker Bynum, P. N. Pusey, Miller Puckette, Peter J. Sadler, Jimmy D. Bell, R. Dietz and R. H. Ottewill. Their work appears in journals such as The Journal of the Acoustical Society of America, The American Historical Review, Matrix Biology, The Journal of Economic History and FEBS Letters.
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.