Ruben E. van Engen

1.5k total citations
44 papers, 901 citations indexed

About

Ruben E. van Engen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Ruben E. van Engen has authored 44 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pulmonary and Respiratory Medicine, 30 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Artificial Intelligence. Recurrent topics in Ruben E. van Engen's work include Digital Radiography and Breast Imaging (44 papers), Medical Imaging Techniques and Applications (24 papers) and AI in cancer detection (21 papers). Ruben E. van Engen is often cited by papers focused on Digital Radiography and Breast Imaging (44 papers), Medical Imaging Techniques and Applications (24 papers) and AI in cancer detection (21 papers). Ruben E. van Engen collaborates with scholars based in Netherlands, United Kingdom and United States. Ruben E. van Engen's co-authors include Kenneth C. Young, David R. Dance, Mireille J. M. Broeders, Ramona W. Bouwman, Nico Karssemeijer, Gerard J. den Heeten, Wouter J. H. Veldkamp, Adriana M. J. Bluekens, David Beijerinck and Cécile R. L. P. N. Jeukens and has published in prestigious journals such as Radiology, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Ruben E. van Engen

42 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruben E. van Engen Netherlands 14 771 579 398 216 213 44 901
Tony Svahn Sweden 11 822 1.1× 654 1.1× 572 1.4× 165 0.8× 208 1.0× 29 953
Pontus Timberg Sweden 13 926 1.2× 710 1.2× 688 1.7× 225 1.0× 224 1.1× 40 1.1k
Avice M. O’Connell United States 15 461 0.6× 610 1.1× 167 0.4× 51 0.2× 243 1.1× 42 759
Chris Peressotti Canada 8 382 0.5× 270 0.5× 246 0.6× 141 0.7× 87 0.4× 10 489
Marvi Valentini Italy 14 1.0k 1.3× 582 1.0× 875 2.2× 532 2.5× 121 0.6× 21 1.3k
Carmine Fantò Italy 12 1.0k 1.3× 564 1.0× 875 2.2× 530 2.5× 121 0.6× 18 1.2k
Randi Gullien Norway 12 1.4k 1.9× 910 1.6× 1.2k 3.0× 582 2.7× 189 0.9× 13 1.7k
A. Luparia Italy 12 408 0.5× 351 0.6× 328 0.8× 159 0.7× 82 0.4× 18 695
Paola Bricolo Italy 9 724 0.9× 398 0.7× 603 1.5× 376 1.7× 97 0.5× 10 913
Melissa A. Durand United States 11 1.2k 1.6× 761 1.3× 1.0k 2.6× 543 2.5× 148 0.7× 18 1.5k

Countries citing papers authored by Ruben E. van Engen

Since Specialization
Citations

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

Fields of papers citing papers by Ruben E. van Engen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruben E. van Engen. 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 Ruben E. van Engen. The network helps show where Ruben E. van Engen may publish in the future.

Co-authorship network of co-authors of Ruben E. van Engen

This figure shows the co-authorship network connecting the top 25 collaborators of Ruben E. van Engen. A scholar is included among the top collaborators of Ruben E. van Engen 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 Ruben E. van Engen. Ruben E. van Engen 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.
Pennings, Lian J., Ruud M. Pijnappel, Nicolien T. van Ravesteyn, et al.. (2025). The Screening Tomosynthesis Trial with Advanced Reader Methods (STREAM): design and rationale of a population-based breast cancer screening trial. European Radiology. 35(7). 3979–3986. 1 indexed citations
2.
Anton, Mathias, et al.. (2024). A nonparametric measure of contrast in x-ray images. Physics in Medicine and Biology. 69(15). 155013–155013.
3.
Sechopoulos, Ioannis, David R. Dance, John M. Boone, et al.. (2023). Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast‐enhanced mammography and breast tomosynthesis. Medical Physics. 51(2). 712–739. 9 indexed citations
4.
Engen, Ruben E. van, Alistair Mackenzie, Anders Tingberg, et al.. (2021). Validation of a candidate instrument to assess image quality in digital mammography using ROC analysis. European Journal of Radiology. 139. 109686–109686. 5 indexed citations
5.
Anton, Mathias, et al.. (2021). The regression detectability index RDI for mammography images of breast phantoms with calcification-like objects and anatomical background. Physics in Medicine and Biology. 66(22). 225015–225015. 5 indexed citations
6.
Zackrisson, Sophia, Matthew Wallis, Debra M. Ikeda, et al.. (2020). Development and content validity evaluation of a candidate instrument to assess image quality in digital mammography: A mixed-method study. European Journal of Radiology. 134. 109464–109464. 4 indexed citations
7.
Sarno, Antonio, David R. Dance, Ruben E. van Engen, et al.. (2017). A Monte Carlo model for mean glandular dose evaluation in spot compression mammography. Medical Physics. 44(7). 3848–3860. 23 indexed citations
8.
Bouwman, Ramona W., Ruben E. van Engen, Mireille J. M. Broeders, et al.. (2016). Can the channelized Hotelling observer including aspects of the human visual system predict human observer performance in mammography?. Physica Medica. 33. 95–105. 11 indexed citations
9.
Bouwman, Ramona W., Ruben E. van Engen, Mireille J. M. Broeders, et al.. (2016). Can the non-pre-whitening model observer, including aspects of the human visual system, predict human observer performance in mammography?. Physica Medica. 32(12). 1559–1569. 15 indexed citations
10.
Bouwman, Ramona W., David R. Dance, Kenneth C. Young, et al.. (2016). SIMULATING LOCAL DENSE AREAS USING PMMA TO ASSESS AUTOMATIC EXPOSURE CONTROL IN DIGITAL MAMMOGRAPHY. Radiation Protection Dosimetry. 169(1-4). 143–150. 2 indexed citations
11.
Engen, Ruben E. van, et al.. (2015). Mammography with and without radiolucent positioning sheets: Comparison of projected breast area, pain experience, radiation dose and technical image quality. European Journal of Radiology. 84(10). 1903–1909. 6 indexed citations
12.
Bouwman, Ramona W., Ruben E. van Engen, Kenneth C. Young, et al.. (2015). Average glandular dose in digital mammography and digital breast tomosynthesis: comparison of phantom and patient data. Physics in Medicine and Biology. 60(20). 7893–7907. 43 indexed citations
13.
Lalji, Ulrich, Cécile R. L. P. N. Jeukens, Ivo Houben, et al.. (2015). Evaluation of low-energy contrast-enhanced spectral mammography images by comparing them to full-field digital mammography using EUREF image quality criteria. European Radiology. 25(10). 2813–2820. 109 indexed citations
14.
Bouwman, Ramona W., Ruben E. van Engen, Kenneth C. Young, Wouter J. H. Veldkamp, & David R. Dance. (2014). Dose assessment in contrast enhanced digital mammography using simple phantoms simulating standard model breasts. Physics in Medicine and Biology. 60(1). N1–N7. 3 indexed citations
15.
Broeders, Mireille J. M., et al.. (2014). Comparison of a flexible versus a rigid breast compression paddle: pain experience, projected breast area, radiation dose and technical image quality. European Radiology. 25(3). 821–829. 34 indexed citations
16.
Bouwman, Ramona W., Oliver Díaz, Ruben E. van Engen, et al.. (2013). Phantoms for quality control procedures in digital breast tomosynthesis: dose assessment. Physics in Medicine and Biology. 58(13). 4423–4438. 14 indexed citations
17.
Dance, David R., Kenneth C. Young, & Ruben E. van Engen. (2010). Estimation of mean glandular dose for breast tomosynthesis: factors for use with the UK, European and IAEA breast dosimetry protocols. Physics in Medicine and Biology. 56(2). 453–471. 125 indexed citations
18.
Bluekens, Adriana M. J., Nico Karssemeijer, David Beijerinck, et al.. (2010). Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates. European Radiology. 20(9). 2067–2073. 51 indexed citations
19.
Karssemeijer, Nico, et al.. (2009). Breast Cancer Screening Results 5 Years after Introduction of Digital Mammography in a Population-based Screening Program. Radiology. 253(2). 353–358. 103 indexed citations
20.
Young, Kenneth C., et al.. (2008). Evaluation of software for reading images of the CDMAM test object to assess digital mammography systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6913. 69131C–69131C. 42 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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