Steven Michiels

689 total citations · 1 hit paper
16 papers, 443 citations indexed

About

Steven Michiels is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Steven Michiels has authored 16 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiation, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Steven Michiels's work include Advanced Radiotherapy Techniques (12 papers), Radiation Therapy and Dosimetry (6 papers) and Medical Imaging Techniques and Applications (3 papers). Steven Michiels is often cited by papers focused on Advanced Radiotherapy Techniques (12 papers), Radiation Therapy and Dosimetry (6 papers) and Medical Imaging Techniques and Applications (3 papers). Steven Michiels collaborates with scholars based in Belgium, Sweden and Netherlands. Steven Michiels's co-authors include Edmond Sterpin, John A. Lee, Ana María Barragán Montero, Karin Haustermans, Kevin Souris, Tom Depuydt, Liesbeth Vandewinckele, Gilmer Valdés, Paul Desbordes and Benoît Macq and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Physics and Radiotherapy and Oncology.

In The Last Decade

Steven Michiels

15 papers receiving 426 citations

Hit Papers

Artificial intelligence and machine learning for medical ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven Michiels Belgium 8 242 188 154 91 87 16 443
Siri Willems Belgium 11 342 1.4× 185 1.0× 97 0.6× 107 1.2× 158 1.8× 14 616
Rachel McCarroll United States 10 339 1.4× 323 1.7× 138 0.9× 101 1.1× 62 0.7× 19 475
Liesbeth Vandewinckele Belgium 7 398 1.6× 250 1.3× 112 0.7× 129 1.4× 139 1.6× 11 593
Carter Kolbeck Canada 7 208 0.9× 182 1.0× 93 0.6× 80 0.9× 64 0.7× 15 351
Fredrik Löfman Sweden 6 264 1.1× 119 0.6× 73 0.5× 81 0.9× 115 1.3× 9 422
Jordan Wong Canada 8 204 0.8× 184 1.0× 93 0.6× 77 0.8× 47 0.5× 19 339
Yesenia Gonzalez United States 10 327 1.4× 255 1.4× 116 0.8× 133 1.5× 66 0.8× 28 491
G. Guidi Italy 13 236 1.0× 138 0.7× 118 0.8× 63 0.7× 51 0.6× 35 388
Jianrong Dai China 11 434 1.8× 365 1.9× 190 1.2× 146 1.6× 73 0.8× 52 627
Anna M. Dinkla Netherlands 7 390 1.6× 363 1.9× 144 0.9× 129 1.4× 57 0.7× 13 526

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-authorship network of co-authors of Steven Michiels

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Michiels. A scholar is included among the top collaborators of Steven Michiels based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Michiels. Steven Michiels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Michiels, Steven, et al.. (2023). Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer. Medical Physics. 50(10). 6201–6214. 11 indexed citations
2.
Michiels, Steven, et al.. (2022). Machine learning for automated quality control in injection moulding manufacturing. 127–132. 1 indexed citations
3.
Montero, Ana María Barragán, Mélissa Thomas, Gilles Defraene, et al.. (2021). Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance. Physica Medica. 83. 52–63. 46 indexed citations
4.
Montero, Ana María Barragán, Umair Javaid, Gilmer Valdés, et al.. (2021). Artificial intelligence and machine learning for medical imaging: A technology review. Physica Medica. 83. 242–256. 236 indexed citations breakdown →
5.
Michiels, Steven, et al.. (2020). Improvement of kilovoltage intrafraction monitoring accuracy through gantry angles selection. Biomedical Physics & Engineering Express. 6(6). 65002–65002. 1 indexed citations
6.
Michiels, Steven, et al.. (2020). PO-1623: 3D printed immobilization for head and neck cancer radiotherapy: A pilot study on patients. Radiotherapy and Oncology. 152. S886–S886.
7.
Michiels, Steven, et al.. (2019). Development and accuracy evaluation of a single-camera intra-bore surface scanning system for radiotherapy in an O-ring linac. Physics and Imaging in Radiation Oncology. 11. 21–26. 14 indexed citations
8.
Roover, Robin De, Wouter Crijns, Steven Michiels, et al.. (2019). PO-0929 Focal boost dose escalated prostate SBRT on the Halcyon fast-rotating O-ring linac. Radiotherapy and Oncology. 133. S499–S500. 1 indexed citations
9.
Shujaat, Sohaib, Reinhilde Jacobs, Eman Shaheen, Steven Michiels, & Constantinus Politis. (2019). Three-dimensional treatment planning and treatment protocol in embryonal rhabdomyosarcoma and orthognathic surgery: A case report. SHILAP Revista de lepidopterología. 5(3). 100111–100111. 1 indexed citations
10.
Michiels, Steven, et al.. (2018). EP-2182: Use of 3D printing to generate patient-specific electron beam aperture blocks. Radiotherapy and Oncology. 127. S1205–S1206. 1 indexed citations
11.
Michiels, Steven, Kenneth Poels, Wouter Crijns, et al.. (2018). Volumetric modulated arc therapy of head-and-neck cancer on a fast-rotating O-ring linac: Plan quality and delivery time comparison with a C-arm linac. Radiotherapy and Oncology. 128(3). 479–484. 52 indexed citations
12.
Roover, Robin De, Wouter Crijns, Kenneth Poels, et al.. (2018). Validation and IMRT/VMAT delivery quality of a preconfigured fast‐rotating O‐ring linac system. Medical Physics. 46(1). 328–339. 41 indexed citations
13.
Michiels, Steven, et al.. (2018). Production of patient‐specific electron beam aperture cut‐outs using a low‐cost, multi‐purpose 3D printer. Journal of Applied Clinical Medical Physics. 19(5). 756–760. 5 indexed citations
14.
Michiels, Steven, Ana María Barragán Montero, Kevin Souris, et al.. (2017). Patient-specific bolus for range shifter air gap reduction in intensity-modulated proton therapy of head-and-neck cancer studied with Monte Carlo based plan optimization. Radiotherapy and Oncology. 128(1). 161–166. 18 indexed citations
15.
Poels, Kenneth, An Nulens, Robin De Roover, et al.. (2016). EP-1516: Evaluating a versatile new-generation anthropomorphic phantom for SBRT and thoracic IMRT/VMAT. Radiotherapy and Oncology. 119. S701–S702. 1 indexed citations
16.
Michiels, Steven, Antoine D’Hollander, Nicolas Lammens, et al.. (2016). Towards 3D printed multifunctional immobilization for proton therapy: Initial materials characterization. Medical Physics. 43(10). 5392–5402. 14 indexed citations

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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