Derek Wells

27 papers receiving 483 citations

Derek Wells's Hit Papers

Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning 2019 · 171 citations
1710+2+4Years since publication50100150

Peers

Derek Wells
Comparison fields: 5 of 64
  • Radiation 202
  • Health Informatics 17
  • Radiology, Nuclear Medicine and Imaging 132
  • Physical Therapy, Sports Therapy and Rehabilitation 22
  • Biomedical Engineering 170
Replace Sepideh Hatamikia with:
Sepideh Hatamikia Austria
Samaneh Kazemifar United States
Carole Frindel France
Bo Zhan China
Verónica García‐Vázquez Spain
Brent Liu United States
Majid Pouladian Iran
Paweł Badura Poland
Junyu Chen United States
André Mastmeyer Germany
Derek Wells relative to Sepideh Hatamikia Austria Sepideh Hatamikia's profile →
Citations per field
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Sepideh Hatamikia · 1×
Citations per year

Countries citing papers authored by Derek Wells

Since Specialization
Citations

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

Fields of papers citing papers by Derek Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning
Hit paper breakdown →
2019171
2 1993114
3 202160
4 201326
5 201213
6 201113
7 202013
8 199212
9 201911
10 20098
11 20058
12 20007
13 20086
14 20034
15 20144
16 20104
17 20114
18 20053
19 20083
20 20013

About Derek Wells

Derek Wells is a scholar working on Radiation, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 28 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (15 papers), Advanced X-ray and CT Imaging (5 papers), Radiation Dose and Imaging (5 papers), Radiation Therapy and Dosimetry (3 papers), Cervical Cancer and HPV Research (3 papers), Breast Cancer Treatment Studies (3 papers), Photodynamic Therapy Research Studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiation (202 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Physical Therapy, Sports Therapy and Rehabilitation (22 citations) and Biomedical Engineering (170 citations). Derek Wells has collaborated with scholars based in Canada, United States and Chile. Frequent co-authors include Christopher L. Vaughan, Francisco Sepulveda, Abraham Alexander, Joshua Giambattista, Carter Kolbeck, Jordan Wong, Nevin McVicar, Allan Fong, Lovedeep Gondara and Sally Smith. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics, Radiotherapy and Oncology and Neural Networks.

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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