T. Williams

741 citations
24 papers · 514 · h-index 13

Impact in

Papers in

    • Bone health and treatments 4
    • Cancer Diagnosis and Treatment 4
    • Pancreatic and Hepatic Oncology Research 2
    • Radiomics and Machine Learning in Medical Imaging 4
    • Medical Imaging Techniques and Applications 2

T. Williams

22 papers receiving 501 citations

Peers

T. Williams
Comparison fields: 5 of 88
  • Orthopedics and Sports Medicine 68
  • Otorhinolaryngology 31
  • Computer Vision and Pattern Recognition 109
  • Oncology 146
  • Neurology 74
Replace Sung Ho Yoon with:
Sung Ho Yoon South Korea
P. Meyer France
Fayu Liu China
Hiroyuki Ozawa Japan
Xiangrong Zhou Japan
Harry Harms Germany
Sung Uk Lee South Korea
Tanja von Braunmühl Germany
Chao‐Yuan Yeh Taiwan
Tatsuro Hayashi Japan
T. Williams relative to Sung Ho Yoon South Korea Sung Ho Yoon's profile →
Citations per field
00.5×5.2×
Sung Ho Yoon · 1×
Citations per year

Countries citing papers authored by T. Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside T. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Williams Line = papers co-authored together T. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wavelet Pooling for Convolutional Neural Networks
201887
2 200975
3 198357
4 201644
5 201136
6 200433
7 200729
8 200821
9 200420
10 201919
11 201319
12 201517
13 201816
14 201712
15 20209
16 20048
17 20216
18 20162
19 20201
20 20201

About T. Williams

T. Williams is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 514 indexed citations. Recurring topics across this work include Bone health and treatments (4 papers), Image and Signal Denoising Methods (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (2 papers), Advanced Image Fusion Techniques (2 papers), Oral health in cancer treatment (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (68 citations), Otorhinolaryngology (31 citations), Computer Vision and Pattern Recognition (109 citations), Oncology (146 citations) and Neurology (74 citations). T. Williams has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert Li, Wendy K. Roberts, Robert B. Darnell, Jerome B. Posner, Joseph M. Huryn, Cherry L. Estilo, Noreen Buckley, C. Greenfield, R E Pounder and Athanasios Dousmanis. Their work appears in journals such as Journal of Clinical Oncology, Clinical Oncology, Scientific Reports, Radiotherapy and Oncology and Orthopaedics & Traumatology Surgery & Research.

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.

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