Michaël Claessens

1.7k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Michaël Claessens is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michaël Claessens has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiation, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michaël Claessens's work include Advanced Radiotherapy Techniques (10 papers), Advanced X-ray and CT Imaging (4 papers) and Palliative Care and End-of-Life Issues (4 papers). Michaël Claessens is often cited by papers focused on Advanced Radiotherapy Techniques (10 papers), Advanced X-ray and CT Imaging (4 papers) and Palliative Care and End-of-Life Issues (4 papers). Michaël Claessens collaborates with scholars based in Belgium, United States and Sweden. Michaël Claessens's co-authors include John M. Luce, Thomas J. Prendergast, Zhenshao Zhong, Joanne Lynn, Norman A. Desbiens, Dirk Verellen, Charlotte L. Brouwer, Wouter van Elmpt, Anna M. Dinkla and Liesbeth Vandewinckele and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Respiratory and Critical Care Medicine and Journal of the American Geriatrics Society.

In The Last Decade

Michaël Claessens

16 papers receiving 1.2k citations

Hit Papers

A National Survey of End-of-life Care for Critically Ill ... 1998 2026 2007 2016 1998 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaël Claessens Belgium 10 723 393 303 287 283 17 1.3k
Richard Rosiello United States 16 234 0.3× 156 0.4× 22 0.1× 450 1.6× 56 0.2× 28 840
Daniela Vollenweider United States 14 329 0.5× 164 0.4× 67 0.2× 368 1.3× 136 0.5× 18 1.1k
Christian T. Sinclair United States 10 380 0.5× 48 0.1× 162 0.5× 60 0.2× 19 0.1× 34 642
Eytan Szmuilowicz United States 12 479 0.7× 161 0.4× 160 0.5× 55 0.2× 15 0.1× 27 632
Sandralee Blosser United States 13 344 0.5× 65 0.2× 49 0.2× 292 1.0× 84 0.3× 16 1.2k
Alison S. Clay United States 13 319 0.4× 232 0.6× 102 0.3× 183 0.6× 21 0.1× 44 896
Daniela Lamas United States 16 589 0.8× 226 0.6× 183 0.6× 275 1.0× 13 0.0× 29 1.1k
Naomi George United States 18 497 0.7× 149 0.4× 171 0.6× 51 0.2× 15 0.1× 43 869
Hassan Assareh Australia 15 98 0.1× 22 0.1× 31 0.1× 65 0.2× 19 0.1× 52 655
Avra Goldman United Kingdom 14 141 0.2× 94 0.2× 278 0.9× 122 0.4× 26 0.1× 22 978

Countries citing papers authored by Michaël Claessens

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Claessens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Claessens

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Claessens. A scholar is included among the top collaborators of Michaël Claessens 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 Michaël Claessens. Michaël Claessens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Claessens, Michaël, et al.. (2025). Incorporating indirect MRI information in a CT-based deep learning model for prostate auto-segmentation. Radiotherapy and Oncology. 206. 110806–110806. 1 indexed citations
2.
Mercier, Carole, Charlotte Billiet, Piet Ost, et al.. (2025). Dose-Escalated Stereotactic Versus Conventional Radiotherapy for Painful Bone Metastases (ROBOMET): A Multicenter, Patient-Blinded Randomized Clinical Trial. Journal of Clinical Oncology. 43(19). 2164–2172. 3 indexed citations
3.
Claessens, Michaël, et al.. (2023). A geometry and dose-volume based performance monitoring of artificial intelligence models in radiotherapy treatment planning for prostate cancer. Physics and Imaging in Radiation Oncology. 28. 100494–100494. 7 indexed citations
4.
Claessens, Michaël, Verdi Vanreusel, Víctor Hernández, et al.. (2023). Multi-institutional generalizability of a plan complexity machine learning model for predicting pre-treatment quality assurance results in radiotherapy. Physics and Imaging in Radiation Oncology. 29. 100525–100525. 2 indexed citations
5.
Claessens, Michaël, Charlotte L. Brouwer, Benjamin Ziemer, et al.. (2022). Quality Assurance for AI-Based Applications in Radiation Therapy. Seminars in Radiation Oncology. 32(4). 421–431. 39 indexed citations
6.
Claessens, Michaël, et al.. (2022). Machine learning-based treatment couch parameter prediction in support of surface guided radiation therapy. Technical Innovations & Patient Support in Radiation Oncology. 23. 15–20.
7.
Claessens, Michaël, Verdi Vanreusel, Fredrik Löfman, et al.. (2022). Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm. Physics in Medicine and Biology. 67(11). 115014–115014. 20 indexed citations
8.
Claessens, Michaël, et al.. (2021). Probabilistic dose prediction using mixture density networks for automated radiation therapy treatment planning. Physics in Medicine and Biology. 66(5). 55003–55003. 10 indexed citations
9.
Ramadan, Raghda, Michaël Claessens, Ellen Cocquyt, et al.. (2021). X‑irradiation induces acute and early term inflammatory responses in atherosclerosis‑prone ApoE‑/‑ mice and in endothelial cells. Molecular Medicine Reports. 23(6). 14 indexed citations
10.
Brouwer, Charlotte L., Anna M. Dinkla, Liesbeth Vandewinckele, et al.. (2020). Machine learning applications in radiation oncology: Current use and needs to support clinical implementation. Physics and Imaging in Radiation Oncology. 16. 144–148. 50 indexed citations
11.
Vandewinckele, Liesbeth, Michaël Claessens, Anna M. Dinkla, et al.. (2020). Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance. Radiotherapy and Oncology. 153. 55–66. 209 indexed citations
12.
Mercier, Carole, Michaël Claessens, Charlotte Billiet, et al.. (2020). Stereotactic Ablative Radiation Therapy to All Lesions in Patients With Oligometastatic Cancers: A Phase 1 Dose-Escalation Trial. International Journal of Radiation Oncology*Biology*Physics. 109(5). 1195–1205. 9 indexed citations
13.
Clark, Jeanne M., et al.. (2003). Factors Associated with Palliative Care Knowledge among Internal Medicine House Staff. Journal of Palliative Care. 19(4). 253–257. 16 indexed citations
14.
Claessens, Michaël, Joanne Lynn, Zhenshao Zhong, et al.. (2000). Dying with Lung Cancer or Chronic Obstructive Pulmonary Disease: Insights from SUPPORT. Journal of the American Geriatrics Society. 48(S1). 281 indexed citations
15.
Lynn, Joanne, E. Wesley Ely, Zhenshao Zhong, et al.. (2000). Living and Dying with Chronic Obstructive Pulmonary Disease. Journal of the American Geriatrics Society. 48(S1). S91–100. 147 indexed citations
16.
Claessens, Michaël, Joanne Lynn, Zhenshao Zhong, et al.. (2000). Dying with Lung Cancer or Chronic Obstructive Pulmonary Disease. 3 indexed citations
17.
Prendergast, Thomas J., Michaël Claessens, & John M. Luce. (1998). A National Survey of End-of-life Care for Critically Ill Patients. American Journal of Respiratory and Critical Care Medicine. 158(4). 1163–1167. 480 indexed citations breakdown →

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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