T. Williams
- Oncology
- Computer Vision and Pattern Recognition top 10%
- Epidemiology
- Neurology
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Robert LiRobert B. DarnellJerome B. PosnerWendy K. RobertsJoseph M. HurynCherry L. EstiloC. GreenfieldPaul Noone
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)Image and Signal Denoising Methods (4 papers)Bone health and treatments (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
T. Williams
22 papers receiving 501 citations
Peers
Comparison fields: 5 of 88
- Oncology 146
- Computer Vision and Pattern Recognition 109
- Epidemiology 101
- Neurology 74
- Orthopedics and Sports Medicine 68
Countries citing papers authored by T. Williams
This map shows the geographic impact of T. 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 T. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Williams more than expected).
Fields of papers citing papers by T. Williams
This network shows the impact of papers produced by T. 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 T. Williams. The network helps show where T. Williams may publish in the future.
Co-authorship network of co-authors of T. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of T. Williams. A scholar is included among the top collaborators of T. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Williams. T. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | Wavelet Pooling for Convolutional Neural Networks | 87 |
| 8 | 16 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 19 | |
| 15 | 36 | |
| 16 | 75 | |
| 17 | 29 | |
| 18 | 20 | |
| 19 | 33 | |
| 20 | 57 |
About T. Williams
T. Williams is a scholar working on Media Technology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 514 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Image and Signal Denoising Methods (4 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (68 citations), Otorhinolaryngology (31 citations) and Computer Vision and Pattern Recognition (109 citations). T. Williams has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert Li, Robert B. Darnell, Jerome B. Posner, Wendy K. Roberts, Joseph M. Huryn, Cherry L. Estilo, C. Greenfield, Paul Noone, R E Pounder and Athanasios Dousmanis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.