William J. Williams
- Oceanography top 0.5%
- Oceanographic and Atmospheric Processes 20
- Marine and coastal ecosystems 17
- Atmospheric Science top 0.5%
- Arctic and Antarctic ice dynamics 52
- Environmental Chemistry top 0.5%
- Methane Hydrates and Related Phenomena 31
- Signal Processing top 0.5%
- Blind Source Separation Techniques 23
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- Machine Fault Diagnosis Techniques 50
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- Image and Signal Denoising Methods 41
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- Structural Health Monitoring Techniques 20
- Co-authors
- Eddy C. CarmackJ. JeongMary‐Louise TimmermansF. A. McLaughlinRichard KrishfieldAndrey ProshutinskySarah ZimmermannMotoyo Itoh
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
William J. Williams
199 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Oceanography 1.7k
- Atmospheric Science 2.4k
- Environmental Chemistry 1.1k
- Signal Processing 807
- Control and Systems Engineering 1.1k
Countries citing papers authored by William J. Williams
This map shows the geographic impact of William J. Williams'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 William J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Williams more than expected).
Fields of papers citing papers by William J. Williams
This network shows the impact of papers produced by William J. Williams. 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 William J. Williams. The network helps show where William J. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William J. Williams, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 144 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 27 | |
| 11 | 2018 | 79 | |
| 12 | 2015 | 77 | |
| 13 | 2007 | 14 | |
| 14 | 2004 | 18 | |
| 15 | 2000 | 14 | |
| 16 | 1999 | 31 | |
| 17 | 1997 | 8 | |
| 18 | 1996 | 29 | |
| 19 | Instantaneous frequency and kernel requirements for discrete time-frequency distributions | 1990 | 1 |
| 20 | 1964 | 39 |
About William J. Williams
William J. Williams is a scholar working on Oceanography, Signal Processing and Atmospheric Science, having authored 208 papers that have together received 6.8k indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (52 papers), Machine Fault Diagnosis Techniques (50 papers), Image and Signal Denoising Methods (41 papers), Methane Hydrates and Related Phenomena (31 papers), Blind Source Separation Techniques (23 papers), Oceanographic and Atmospheric Processes (20 papers), Structural Health Monitoring Techniques (20 papers) and Marine and coastal ecosystems (17 papers). The work is most often cited by research in Oceanography (1.7k citations), Atmospheric Science (2.4k citations) and Environmental Chemistry (1.1k citations). William J. Williams has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Eddy C. Carmack, J. Jeong, Mary‐Louise Timmermans, F. A. McLaughlin, Richard Krishfield, Andrey Proshutinsky, Sarah Zimmermann, Motoyo Itoh, Michiyo Yamamoto‐Kawai and Koji Shimada. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.