Steven Petit

2.3k total citations
80 papers, 1.6k citations indexed

About

Steven Petit is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Steven Petit has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiation, 41 papers in Radiology, Nuclear Medicine and Imaging and 37 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Steven Petit's work include Advanced Radiotherapy Techniques (44 papers), Medical Imaging Techniques and Applications (21 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Steven Petit is often cited by papers focused on Advanced Radiotherapy Techniques (44 papers), Medical Imaging Techniques and Applications (21 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Steven Petit collaborates with scholars based in Netherlands, United States and Switzerland. Steven Petit's co-authors include André Dekker, Philippe Lambin, Hugo J.W.L. Aerts, Wouter van Elmpt, Dirk De Ruysscher, Ben Heijmen, Danielle S. Bitterman, Benjamin H. Kann, Christian V. Guthier and Yibing Wang and has published in prestigious journals such as International Journal of Molecular Sciences, Kidney International and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Steven Petit

75 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Petit Netherlands 23 1.0k 930 805 225 132 80 1.6k
Stephen R. Bowen United States 22 781 0.8× 658 0.7× 803 1.0× 199 0.9× 42 0.3× 94 1.6k
C. Lafond France 18 703 0.7× 724 0.8× 434 0.5× 253 1.1× 95 0.7× 75 1.2k
Houda Bahig Canada 22 572 0.6× 460 0.5× 751 0.9× 176 0.8× 278 2.1× 118 1.5k
Michael F. Gensheimer United States 22 534 0.5× 214 0.2× 499 0.6× 81 0.4× 149 1.1× 88 1.2k
Andrea McNiven Canada 11 496 0.5× 564 0.6× 380 0.5× 169 0.8× 105 0.8× 42 767
Jing Zeng United States 23 560 0.5× 481 0.5× 772 1.0× 124 0.6× 77 0.6× 132 1.7k
Philippe Giraud France 13 527 0.5× 196 0.2× 252 0.3× 142 0.6× 170 1.3× 41 875
Víctor Hernández Spain 18 561 0.5× 600 0.6× 376 0.5× 216 1.0× 38 0.3× 64 952
S. Gulliford United Kingdom 26 797 0.8× 892 1.0× 1.2k 1.4× 104 0.5× 498 3.8× 86 1.9k
Lakshmi Santanam United States 24 1.0k 1.0× 1.2k 1.3× 783 1.0× 222 1.0× 22 0.2× 72 1.5k

Countries citing papers authored by Steven Petit

Since Specialization
Citations

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

Fields of papers citing papers by Steven Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Petit

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Petit. A scholar is included among the top collaborators of Steven Petit 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 Petit. Steven Petit 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
1.
Ruskó, László, C. Cozzini, Jean-Paul Kleijnen, et al.. (2025). Synthetic CT generation using Zero TE MR for head-and-neck radiotherapy. Radiotherapy and Oncology. 205. 110762–110762. 1 indexed citations
2.
Mast, Hetty, Gerda M. Verduijn, Steven Petit, et al.. (2024). Personalizing dental screening and prevention protocols in dentulous patients with oropharyngeal cancer undergoing radiotherapy: A retrospective cohort study. Clinical and Translational Radiation Oncology. 46. 100759–100759. 1 indexed citations
3.
Granton, Patrick V., Steven Petit, J. Belderbos, et al.. (2024). 740: High survival after high dose reirradiation of in-field recurrent lung cancer: a prospective trial. Radiotherapy and Oncology. 194. S1622–S1625.
4.
Gent, Dik C. van, et al.. (2024). Ex vivo radiation sensitivity assessment for individual head and neck cancer patients using deep learning-based automated nuclei and DNA damage foci detection. Clinical and Translational Radiation Oncology. 45. 100735–100735. 2 indexed citations
5.
Kunnen, Britt, et al.. (2024). Evaluation of artificial intelligence-based autosegmentation for a high-performance cone-beam computed tomography imaging system in the pelvic region. Physics and Imaging in Radiation Oncology. 33. 100687–100687. 2 indexed citations
6.
Verduijn, Gerda M., Mischa S. Hoogeman, Dirk H. J. Poot, et al.. (2024). Relating pre-treatment non-Gaussian intravoxel incoherent motion diffusion-weighted imaging to human papillomavirus status and response in oropharyngeal carcinoma. Physics and Imaging in Radiation Oncology. 30. 100574–100574. 2 indexed citations
7.
Hoogeman, Mischa S., et al.. (2023). Robust optimization of a radiotherapy pretreatment preparation workflow. Physics in Medicine and Biology. 69(2). 25022–25022. 2 indexed citations
8.
Kaushik, Sandeep, C. Cozzini, Dattesh Shanbhag, et al.. (2023). Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network. Physics in Medicine and Biology. 68(19). 195003–195003. 10 indexed citations
9.
Verduijn, Gerda M., Yvette van Norden, Wilma D. Heemsbergen, et al.. (2023). Accounting for fractionation and heterogeneous dose distributions in the modelling of osteoradionecrosis in oropharyngeal carcinoma treatment. Radiotherapy and Oncology. 188. 109889–109889. 4 indexed citations
10.
Wyatt, J., C. Cozzini, R. Pearson, et al.. (2023). Comprehensive dose evaluation of a Deep Learning based synthetic Computed Tomography algorithm for pelvic Magnetic Resonance-only radiotherapy. Radiotherapy and Oncology. 184. 109692–109692. 12 indexed citations
11.
Petit, Steven, Gerda M. Verduijn, Dirk H. J. Poot, et al.. (2023). Multidelay pseudocontinuous arterial spin labeling to measure blood flow in the head and neck. NMR in Biomedicine. 36(7). e4898–e4898. 1 indexed citations
12.
Verduijn, Gerda M., Juan A. Hernández‐Tamames, Wilma D. Heemsbergen, et al.. (2022). The COMPLETE trial: HolistiC early respOnse assessMent for oroPharyngeaL cancEr paTiEnts; Protocol for an observational study. BMJ Open. 12(5). e059345–e059345. 1 indexed citations
13.
Pittens, C.A.C.M., Jennifer Dhont, Steven Petit, et al.. (2022). An impact model to understand and improve work-life balance in early-career researchers in radiation oncology. Clinical and Translational Radiation Oncology. 37. 101–108. 2 indexed citations
14.
Franco, Pierfrancesco, Valentina Tesio, Jenny Bertholet, et al.. (2020). The role of alexithymia and empathy on radiation therapists’ professional quality of life. Technical Innovations & Patient Support in Radiation Oncology. 15. 29–36. 10 indexed citations
15.
Franco, Pierfrancesco, Valentina Tesio, Jenny Bertholet, et al.. (2020). Professional quality of life and burnout amongst radiation oncologists: The impact of alexithymia and empathy. Radiotherapy and Oncology. 147. 162–168. 26 indexed citations
16.
Tella, Marialaura Di, Valentina Tesio, Jenny Bertholet, et al.. (2020). Professional quality of life and burnout among medical physicists working in radiation oncology: The role of alexithymia and empathy. Physics and Imaging in Radiation Oncology. 15. 38–43. 29 indexed citations
17.
Janssen, Tomas, et al.. (2018). Independent knowledge-based treatment planning QA to audit Pinnacle autoplanning. Radiotherapy and Oncology. 133. 198–204. 22 indexed citations
18.
Dirkx, Maarten L.P., D. Fransen, Nico Lanconelli, et al.. (2017). Fully automated VMAT treatment planning for advanced-stage NSCLC patients. Strahlentherapie und Onkologie. 193(5). 402–409. 41 indexed citations
19.
Petit, Steven & Wouter van Elmpt. (2015). Accurate prediction of target dose-escalation and organ-at-risk dose levels for non-small cell lung cancer patients. Radiotherapy and Oncology. 117(3). 453–458. 21 indexed citations
20.
Wang, Yibing, András Zolnay, Luca Incrocci, et al.. (2013). A quality control model that uses PTV-rectal distances to predict the lowest achievable rectum dose, improves IMRT planning for patients with prostate cancer. Radiotherapy and Oncology. 107(3). 352–357. 40 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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