Erik Roelofs

7.6k total citations · 1 hit paper
43 papers, 4.7k citations indexed

About

Erik Roelofs is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Erik Roelofs has authored 43 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiation, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Erik Roelofs's work include Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Erik Roelofs is often cited by papers focused on Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Erik Roelofs collaborates with scholars based in Netherlands, United States and Germany. Erik Roelofs's co-authors include Philippe Lambin, André Dekker, Wouter van Elmpt, Ralph T. H. Leijenaar, Seán Walsh, Johan van Soest, Tim Lustberg, Aniek J.G. Even, Yvonka van Wijk and Joachim E. Wildberger and has published in prestigious journals such as Nature Reviews Clinical Oncology, Medical Physics and Radiotherapy and Oncology.

In The Last Decade

Erik Roelofs

37 papers receiving 4.7k citations

Hit Papers

Radiomics: the bridge between medical imaging and persona... 2017 2026 2020 2023 2017 1000 2.0k 3.0k

Peers

Erik Roelofs
Tim Lustberg Netherlands
Johan van Soest Netherlands
Patrick V. Granton Netherlands
René Monshouwer Netherlands
Aniek J.G. Even Netherlands
Arthur Jochems Netherlands
Tim Lustberg Netherlands
Erik Roelofs
Citations per year, relative to Erik Roelofs Erik Roelofs (= 1×) peers Tim Lustberg

Countries citing papers authored by Erik Roelofs

Since Specialization
Citations

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

Fields of papers citing papers by Erik Roelofs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Roelofs

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Roelofs. A scholar is included among the top collaborators of Erik Roelofs 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 Erik Roelofs. Erik Roelofs 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.
Lomax, Antony, Sairos Safai, Erik Roelofs, et al.. (2022). The impact of organ motion and the appliance of mitigation strategies on the effectiveness of hypoxia-guided proton therapy for non-small cell lung cancer. Radiotherapy and Oncology. 176. 208–214. 5 indexed citations
2.
Houben, Ruud, et al.. (2022). Performance and usability evaluation of a mobile health data capture application in clinical cancer trials follow-up. Technical Innovations & Patient Support in Radiation Oncology. 24. 107–112. 3 indexed citations
3.
Roelofs, Erik, Inge Compter, Yvonne L.B. Klaver, et al.. (2021). The ROCOCO performance scoring system translates dosimetric differences into clinically relevant endpoints: Comparing IMPT to VMAT in an example pilocytic astrocytoma dataset. Clinical and Translational Radiation Oncology. 28. 32–38. 2 indexed citations
4.
Roelofs, Erik, et al.. (2019). Development of single-session driving simulator-based and computer-based training for at-risk older drivers. Educational Gerontology. 45(4). 283–296. 7 indexed citations
5.
6.
Roelofs, Erik, Charles B. Simone, J. van der Stoep, et al.. (2018). Photons, protons or carbon ions for stage I non-small cell lung cancer – Results of the multicentric ROCOCO in silico study. Radiotherapy and Oncology. 128(1). 139–146. 30 indexed citations
7.
Lambin, Philippe, Ralph T. H. Leijenaar, Timo M. Deist, et al.. (2017). Radiomics: the bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology. 14(12). 749–762. 3729 indexed citations breakdown →
8.
Eekers, Daniëlle B. P., Erik Roelofs, Urszula Jelen, et al.. (2016). Benefit of particle therapy in re-irradiation of head and neck patients. Results of a multicentric in silico ROCOCO trial. Radiotherapy and Oncology. 121(3). 387–394. 49 indexed citations
10.
Cheng, Qing, Erik Roelofs, Bram Ramaekers, et al.. (2016). Development and evaluation of an online three-level proton vs photon decision support prototype for head and neck cancer – Comparison of dose, toxicity and cost-effectiveness. Radiotherapy and Oncology. 118(2). 281–285. 51 indexed citations
11.
Cheng, Qing, Erik Roelofs, Bram Ramaekers, et al.. (2015). EP-1480: Development and validation of a proton decision support system comparing dose, toxicity and cost-effectiveness. Radiotherapy and Oncology. 115. S804–S804. 2 indexed citations
12.
Roelofs, Erik, Timothy D. Solberg, Liyong Lin, et al.. (2014). Particle Therapy for Non-Small Cell Lung Tumors: Where Do We Stand? A Systematic Review of the Literature. Frontiers in Oncology. 4. 292–292. 49 indexed citations
13.
Lambin, Philippe, Erik Roelofs, Bart Reymen, et al.. (2013). ‘Rapid Learning health care in oncology’ – An approach towards decision support systems enabling customised radiotherapy’. Radiotherapy and Oncology. 109(1). 159–164. 136 indexed citations
14.
Roelofs, Erik, et al.. (2013). Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial. Radiotherapy and Oncology. 108(1). 174–179. 45 indexed citations
15.
Fontanarosa, Davide, Hans Paul van der Laan, Marnix G. Witte, et al.. (2013). An in silico comparison between margin-based and probabilistic target-planning approaches in head and neck cancer patients. Radiotherapy and Oncology. 109(3). 430–436. 14 indexed citations
16.
Levy, Mia, John Freymann, Justin Kirby, et al.. (2012). Informatics methods to enable sharing of quantitative imaging research data. Magnetic Resonance Imaging. 30(9). 1249–1256. 13 indexed citations
17.
Lambin, Philippe, Ruud G.P.M. van Stiphout, Maud H. W. Starmans, et al.. (2012). Predicting outcomes in radiation oncology—multifactorial decision support systems. Nature Reviews Clinical Oncology. 10(1). 27–40. 281 indexed citations
18.
Roelofs, Erik, Martijn Engelsman, C. Rasch, et al.. (2011). Results of a Multicentric In Silico Clinical Trial (ROCOCO): Comparing Radiotherapy with Photons and Protons for Non-small Cell Lung Cancer. Journal of Thoracic Oncology. 7(1). 165–176. 76 indexed citations
19.
Musat, E., Erik Roelofs, R. Bar-Deroma, et al.. (2010). Dummy run and conformity indices in the ongoing EORTC low-grade glioma trial 22033-26033: First evaluation of quality of radiotherapy planning. Radiotherapy and Oncology. 95(2). 218–224. 15 indexed citations
20.
Roelofs, Erik, L. Persoon, Frank Verhaegen, et al.. (2010). Design of and technical challenges involved in a framework for multicentric radiotherapy treatment planning studies. Radiotherapy and Oncology. 97(3). 567–571. 28 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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