Steven Michiels

12 papers receiving 509 citations

Steven Michiels's Hit Papers

Artificial intelligence and machine learning for medical imaging: A technology review 2021 · 285 citations
2850+1+3Years since publication50100150200250

Peers

Steven Michiels
Comparison fields: 5 of 99
  • Health Informatics 60
  • Radiation 172
  • Radiology, Nuclear Medicine and Imaging 172
  • Health Information Management 17
  • Neurology 26
Replace Siri Willems with:
Siri Willems Belgium
Fredrik Löfman Sweden
Liesbeth Vandewinckele Belgium
Umair Javaid Belgium
Shangqing Liu China
Reza Reiazi Iran
Sunan Cui United States
Fereshteh Yousefirizi Canada
Gabriele Guidi Italy
Steven Michiels relative to Siri Willems Belgium Siri Willems's profile →
Citations per field
00.5×1.5×
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

12 of 12 papers shown
#Work
1
Artificial intelligence and machine learning for medical imaging: A technology review
Hit paper breakdown →
2021285
2 202156
3 201852
4 201845
5 201725
6 201617
7 201914
8 202313
9 20188
10 20222
11 20191
12 20201

About Steven Michiels

Steven Michiels is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Media Technology and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Radiation Therapy and Dosimetry (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Optical Systems and Laser Technology (1 paper), Infrared Target Detection Methodologies (1 paper), Tumors and Oncological Cases (1 paper), Radiation Dose and Imaging (1 paper) and Injection Molding Process and Properties (1 paper). The work is most often cited by research in Health Informatics (60 citations), Radiation (172 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Health Information Management (17 citations) and Neurology (26 citations). Steven Michiels has collaborated with scholars based in Belgium, Sweden and United States. Frequent co-authors include Edmond Sterpin, John A. Lee, Ana María Barragán Montero, Kevin Souris, Karin M. Haustermans, Dan T. D. Nguyen, Gilmer Valdés, Paul Desbordes, Mats Holmström and Umair Javaid. Their work appears in journals such as Medical Physics, Physica Medica, Radiotherapy and Oncology, 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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