Steven Michiels

715 citations
16 papers · 461 · 1 hit paper · h-index 8

Impact in

Papers in

Steven Michiels

15 papers receiving 446 citations

Steven Michiels's Hit Papers

Artificial intelligence and machine learning for medical imaging: A technology review 2021 · 244 citations
2440+1+3Years since publication50100150200

Peers

Steven Michiels
Comparison fields: 5 of 91
  • Health Informatics 49
  • Radiation 162
  • Radiology, Nuclear Medicine and Imaging 152
  • Pulmonary and Respiratory Medicine 84
  • Neurology 22
Replace Siri Willems with:
Siri Willems Belgium
Fredrik Löfman Sweden
Liesbeth Vandewinckele Belgium
G. Guidi Italy
Umair Javaid Belgium
Sunan Cui United States
Xinran Zhong United States
Jianrong Dai China
Jaehee Chun South Korea
Shaoyan Pan United States
Steven Michiels relative to Siri Willems Belgium Siri Willems's profile →
Citations per field
00.5×1.6×
Siri Willems · 1×
Citations per year

Countries citing papers authored by Steven Michiels

Since Specialization
Citations

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

Fields of papers citing papers by Steven Michiels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Artificial intelligence and machine learning for medical imaging: A technology review
Hit paper breakdown →
2021244
2 201851
3 202149
4 201843
5 201720
6 201615
7 201914
8 202312
9 20187
10 20201
11 20181
12 20161
13 20191
14 20191
15 20221
16 20200

About Steven Michiels

Steven Michiels is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Automotive Engineering, having authored 16 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (10 papers), Radiation Therapy and Dosimetry (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Optical Systems and Laser Technology (1 paper), Advanced X-ray and CT Imaging (1 paper), Infrared Target Detection Methodologies (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Health Informatics (49 citations), Radiation (162 citations), Radiology, Nuclear Medicine and Imaging (152 citations), Pulmonary and Respiratory Medicine (84 citations) and Neurology (22 citations). Steven Michiels has collaborated with scholars based in Belgium, Sweden and Netherlands. Frequent co-authors include Edmond Sterpin, Ana María Barragán Montero, John A. Lee, Karin Haustermans, Kevin Souris, Tom Depuydt, Gilmer Valdés, Dan Nguyen, Fredrik Löfman and Siri Willems. Their work appears in journals such as Radiotherapy and Oncology, Medical Physics, Physica Medica, Journal of Applied Clinical Medical Physics and Physics and Imaging in Radiation 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.

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