T. Williams

743 citations
24 papers · 560 · h-index 13

Impact in

Papers in

    • Cancer Diagnosis and Treatment 4
    • Bone health and treatments 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 536 citations

Peers

T. Williams
Comparison fields: 5 of 86
  • Otorhinolaryngology 30
  • Orthopedics and Sports Medicine 46
  • Neurology 80
  • Oncology 136
  • Computer Vision and Pattern Recognition 121
Replace Gregor Bachmann with:
Gregor Bachmann Germany
Fayu Liu China
Sung Ho Yoon South Korea
Paramjit Singh India
T. Heinonen Finland
Hiroyuki Ozawa Japan
Linda Cheung United Kingdom
P. Meyer France
Tanja von Braunmühl Germany
Harry Harms Germany
T. Williams relative to Gregor Bachmann Germany Gregor Bachmann's profile →
Citations per field
00.5×5.0×
Gregor Bachmann · 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
201894
2 200983
3 198368
4 201649
5 201137
6 200434
7 200732
8 201822
9 200822
10 200421
11 201319
12 201919
13 201517
14 201712
15 20209
16 20048
17 20216
18 20163
19 20212
20 20161

About T. Williams

T. Williams is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Surgery, having authored 24 papers that have together received 560 indexed citations. Recurring topics across this work include Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Image and Signal Denoising Methods (4 papers), Bone health and treatments (4 papers), Medical Imaging Techniques and Applications (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Oral health in cancer treatment (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Otorhinolaryngology (30 citations), Orthopedics and Sports Medicine (46 citations), Neurology (80 citations), Oncology (136 citations) and Computer Vision and Pattern Recognition (121 citations). T. Williams has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert Li, Robert B. Darnell, Wendy K. Roberts, Jerome B. Posner, C. Greenfield, Joseph M. Huryn, R E Pounder, Cherry L. Estilo, Paul Noone and John J. Fak. Their work appears in journals such as Journal of Clinical Oncology, Clinical Oncology, Radiotherapy and Oncology, Journal of Clinical Investigation and Scientific Reports.

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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