Gordon Wichern
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Developmental Biology top 10%
Papers in
-
- Speech and Audio Processing 52
- Music and Audio Processing 44
- Blind Source Separation Techniques 5
-
- Speech Recognition and Synthesis 26
- Co-authors
- Jonathan Le Roux (21 shared papers)Andreas Spanias (13 shared papers)Zhong-Qiu Wang (7 shared papers)Shinji Watanabe (4 shared papers)Ankush Chakrabarty (8 shared papers)Christopher R. Laughman (7 shared papers)John R. Hershey (2 shared papers)Takaaki Hori (3 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)Journal of the Audio Engineering Society (3 papers)Energy and Buildings (2 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)Digital Signal Processing (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Gordon Wichern
66 papers receiving 549 citations
Peers
Comparison fields: 5 of 59
- Signal Processing 396
- Developmental Biology 19
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 245
- Computational Mechanics 74
Countries citing papers authored by Gordon Wichern
This map shows the geographic impact of Gordon Wichern'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 Gordon Wichern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon Wichern more than expected).
Fields of papers citing papers by Gordon Wichern
This network shows the impact of papers produced by Gordon Wichern. 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 Gordon Wichern. The network helps show where Gordon Wichern may publish in the future.
Co-authors
The 25 scholars most cited alongside Gordon Wichern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2010 | 50 | |
| 3 | 2019 | 40 | |
| 4 | 2022 | 34 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2024 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2008 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2020 | 11 | |
| 16 | Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description | 2018 | 10 |
| 17 | 2011 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2010 | 8 |
About Gordon Wichern
Gordon Wichern is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Cognitive Neuroscience, having authored 79 papers that have together received 567 indexed citations. Recurring topics across this work include Speech and Audio Processing (52 papers), Music and Audio Processing (44 papers), Speech Recognition and Synthesis (26 papers), Music Technology and Sound Studies (15 papers), Acoustic Wave Phenomena Research (6 papers), Blind Source Separation Techniques (5 papers), Hearing Loss and Rehabilitation (4 papers) and Wind and Air Flow Studies (4 papers). The work is most often cited by research in Signal Processing (396 citations), Developmental Biology (19 citations), Computer Vision and Pattern Recognition (165 citations), Artificial Intelligence (245 citations) and Computational Mechanics (74 citations). Gordon Wichern has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Jonathan Le Roux, Andreas Spanias, Zhong-Qiu Wang, Shinji Watanabe, Jonathan Le Roux, Ankush Chakrabarty, Christopher R. Laughman, John R. Hershey, Takaaki Hori and Aswin Shanmugam Subramanian. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society, Energy and Buildings, IEEE Journal of Selected Topics in Signal Processing and Digital 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.