N. Reynaert

3.0k total citations
96 papers, 1.9k citations indexed

About

N. Reynaert is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, N. Reynaert has authored 96 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Radiation, 61 papers in Radiology, Nuclear Medicine and Imaging and 40 papers in Pulmonary and Respiratory Medicine. Recurrent topics in N. Reynaert's work include Advanced Radiotherapy Techniques (70 papers), Medical Imaging Techniques and Applications (36 papers) and Radiation Therapy and Dosimetry (31 papers). N. Reynaert is often cited by papers focused on Advanced Radiotherapy Techniques (70 papers), Medical Imaging Techniques and Applications (36 papers) and Radiation Therapy and Dosimetry (31 papers). N. Reynaert collaborates with scholars based in Belgium, France and United Kingdom. N. Reynaert's co-authors include Carlos De Wagter, Hubert Thierens, Wilfried De Neve, Leen Paelinck, T. Lacornerie, Yves De Deene, M. Coghe, Barbara Vanderstraeten, F. Crop and Hugo Palmans and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Lancet Oncology.

In The Last Decade

N. Reynaert

93 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Reynaert Belgium 25 1.5k 1.3k 1.1k 421 115 96 1.9k
Nicholas Hardcastle Australia 28 1.6k 1.1× 1.5k 1.2× 1.3k 1.2× 400 1.0× 156 1.4× 181 2.3k
Nadine Linthout Belgium 21 1.5k 1.0× 1.2k 0.9× 1.0k 0.9× 278 0.7× 157 1.4× 43 1.9k
James Lamb United States 23 1.3k 0.8× 1.2k 1.0× 830 0.7× 206 0.5× 120 1.0× 111 1.8k
Anne Richter Germany 24 1.9k 1.3× 1.5k 1.2× 1.4k 1.2× 413 1.0× 216 1.9× 61 2.2k
R Price United States 31 1.9k 1.3× 982 0.8× 1.9k 1.7× 468 1.1× 218 1.9× 129 2.9k
Nesrin Dogan United States 22 1.7k 1.1× 1.5k 1.2× 1.2k 1.1× 595 1.4× 127 1.1× 75 2.3k
Noriyuki Kadoya Japan 24 1.2k 0.8× 1.1k 0.9× 941 0.8× 475 1.1× 195 1.7× 142 1.8k
Maarten L.P. Dirkx Netherlands 24 1.4k 1.0× 961 0.8× 975 0.9× 330 0.8× 125 1.1× 52 1.7k
Rojano Kashani United States 24 1.8k 1.2× 1.7k 1.3× 1.2k 1.0× 238 0.6× 169 1.5× 75 2.6k
Emiliano Spezi United Kingdom 28 1.3k 0.9× 1.7k 1.3× 946 0.8× 588 1.4× 226 2.0× 132 2.3k

Countries citing papers authored by N. Reynaert

Since Specialization
Citations

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

Fields of papers citing papers by N. Reynaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Reynaert

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

All Works

20 of 20 papers shown
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Penninckx, Sébastien, et al.. (2025). Impact of manufacturing tolerances on Monte Carlo calculated k Q , Q 0 factors for plane-parallel ionisation chambers in proton beams. Physics in Medicine and Biology. 70(8). 85012–85012.
3.
Bouchart, Christelle, et al.. (2025). Facilitating 1.5T MR‐Linac adoption: Workflow strategies and practical tips. Journal of Applied Clinical Medical Physics. 26(5). e70073–e70073.
4.
Dhont, Jennifer, et al.. (2023). A comprehensive quality assurance program for four-dimensional computed tomography in radiotherapy. Physics and Imaging in Radiation Oncology. 27. 100475–100475. 2 indexed citations
5.
Dhont, Jennifer, et al.. (2023). Results of a multicenter 4D computed tomography quality assurance audit: Evaluating image accuracy and consistency. Physics and Imaging in Radiation Oncology. 28. 100479–100479. 2 indexed citations
6.
Chao, Shih‐Li, Giacomo Bregni, Thomas Guiot, et al.. (2022). Pre-trial quality assurance of diffusion-weighted MRI for radiomic analysis and the role of harmonisation. Physica Medica. 103. 138–146. 5 indexed citations
7.
Kry, Stephen F., Jessica Lye, Catharine H. Clark, et al.. (2021). Report dose-to-medium in clinical trials where available; a consensus from the Global Harmonisation Group to maximize consistency. Radiotherapy and Oncology. 159. 106–111. 24 indexed citations
8.
Chettibi, Taha, et al.. (2021). Review of Clinical and Technological Consideration for MRI-Guided Robotic Prostate Brachytherapy. IEEE Transactions on Medical Robotics and Bionics. 3(3). 583–605. 7 indexed citations
9.
Cusumano, Davide, Luca Boldrini, Jennifer Dhont, et al.. (2021). Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives. Physica Medica. 85. 175–191. 64 indexed citations
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Klein, John, et al.. (2020). MR to CT synthesis with multicenter data in the pelvic area using a conditional generative adversarial network. Physics in Medicine and Biology. 65(7). 75002–75002. 56 indexed citations
12.
Levillain, Hugo, Lieveke Ameye, Thomas Guiot, et al.. (2019). Personalised radioembolization improves outcomes in refractory intra-hepatic cholangiocarcinoma: a multicenter study. European Journal of Nuclear Medicine and Molecular Imaging. 46(11). 2270–2279. 48 indexed citations
13.
Levillain, Hugo, Thomas Guiot, Michaël Vouche, et al.. (2018). 90Y-PET/CT-based dosimetry after selective internal radiation therapy predicts outcome in patients with liver metastases from colorectal cancer. EJNMMI Research. 8(1). 60–60. 40 indexed citations
14.
Vanderlinden, Bruno, Ioannis Karfis, Thomas Guiot, et al.. (2018). A dosimetry procedure for organs-at-risk in 177Lu peptide receptor radionuclide therapy of patients with neuroendocrine tumours. Physica Medica. 56. 41–49. 42 indexed citations
15.
Lacornerie, T., et al.. (2017). About the non-consistency of PTV-based prescription in lung. Physica Medica. 44. 177–187. 11 indexed citations
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Gevaert, Thierry, Marc Levivier, T. Lacornerie, et al.. (2013). Dosimetric comparison of different treatment modalities for stereotactic radiosurgery of arteriovenous malformations and acoustic neuromas. VUBIR (Vrije Universiteit Brussel). 2 indexed citations
18.
Paelinck, Leen, N. Reynaert, Hubert Thierens, Carlos De Wagter, & Wilfried De Neve. (2003). The value of radiochromic film dosimetry around air cavities: experimental results and Monte Carlo simulations. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Walle, J. Van de, C Martens, N. Reynaert, et al.. (2003). Monte Carlo model of the Elekta SLiplus accelerator: validation of a new MLC component module in BEAM for a 6 MV beam. Physics in Medicine and Biology. 48(3). 371–385. 48 indexed citations
20.

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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