Timothy Deyer

40 papers receiving 1.2k citations

Timothy Deyer's Hit Papers

RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning 2022 · 182 citations
1820+1+2Years since publication50100150

Peers

Timothy Deyer
Comparison fields: 5 of 76
  • Orthopedics and Sports Medicine 725
  • Health Informatics 43
  • Urology 49
  • Rheumatology 103
  • Radiology, Nuclear Medicine and Imaging 128
Replace Anna Hirschmann with:
Anna Hirschmann Switzerland
César de César Netto United States
Navin Fernando United States
Delaram Shakoor United States
E.H. Oei Netherlands
PK Chan Hong Kong
Alexander Valentinitsch Germany
Richard Kijowski United States
James Thomas Patrick Decourcy Hallinan Singapore
Kevin Lian Canada
Timothy Deyer relative to Anna Hirschmann Switzerland Anna Hirschmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Timothy Deyer

Since Specialization
Citations

This map shows the geographic impact of Timothy Deyer'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 Timothy Deyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Deyer more than expected).

Fields of papers citing papers by Timothy Deyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Deyer. 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 Timothy Deyer. The network helps show where Timothy Deyer may publish in the future.

Co-authors

The 25 scholars most cited alongside Timothy Deyer, 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 Timothy Deyer Line = papers co-authored together Timothy Deyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning
Hit paper breakdown →
2022182
2 2014120
3 201590
4 201072
5 201068
6 201767
7 201854
8 201550
9 201441
10 201240
11 201835
12 201435
13 201633
14 201827
15 201626
16 201826
17 201624
18 200023
19 201823
20 202423

About Timothy Deyer

Timothy Deyer is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Health Informatics, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Foot and Ankle Surgery (24 papers), Tendon Structure and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Lower Extremity Biomechanics and Pathologies (4 papers), Medical Imaging and Analysis (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (725 citations), Health Informatics (43 citations), Urology (49 citations), Rheumatology (103 citations) and Radiology, Nuclear Medicine and Imaging (128 citations). Timothy Deyer has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include John G. Kennedy, Christopher D. Murawski, Charles P. Hannon, Yoshiharu Shimozono, Niall A. Smyth, Keir A. Ross, Youichi Yasui, T. Huong, Eoghan T. Hurley and Jonathan T. Deland. Their work appears in journals such as Arthroscopy The Journal of Arthroscopic and Related Surgery, Foot & Ankle International, The American Journal of Sports Medicine, Annals of Translational Medicine and Journal of Bone and Joint Surgery.

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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