Bram Geurts

2.8k total citations · 1 hit paper
13 papers, 816 citations indexed

About

Bram Geurts is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Bram Geurts has authored 13 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in Bram Geurts's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Radiation Dose and Imaging (3 papers). Bram Geurts is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Radiation Dose and Imaging (3 papers). Bram Geurts collaborates with scholars based in Netherlands, United States and Germany. Bram Geurts's co-authors include Cornelia Schaefer‐Prokop, Mathias Prokop, Bram van Ginneken, Monique Brink, J. Lauran Stöger, Wouter M. van Everdingen, Ludo F.M. Beenen, Jasenko Krdzalic, Henriëtte M. E. Quarles van Ufford and Hester A. Gietema and has published in prestigious journals such as Radiology, CHEST Journal and Annals of the Rheumatic Diseases.

In The Last Decade

Bram Geurts

10 papers receiving 795 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19—Definition and Evaluation

2020 550 citations Mathias Prokop, Wouter M. van Everdingen et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bram Geurts Netherlands	9	431	337	199	162	146	13	816
Soyeoun Lim South Korea	13	342 0.8×	277 0.8×	218 1.1×	91 0.6×	176 1.2×	33	797
Yijie Fang China	11	442 1.0×	436 1.3×	99 0.5×	150 0.9×	95 0.7×	13	885
Davide Colombi Italy	12	316 0.7×	260 0.8×	235 1.2×	122 0.8×	80 0.5×	36	634
Chungao Li China	4	408 0.9×	393 1.2×	136 0.7×	209 1.3×	61 0.4×	9	682
Kunhua Li China	7	446 1.0×	591 1.8×	135 0.7×	314 1.9×	82 0.6×	16	1.0k
Qiongjie Hu China	8	481 1.1×	544 1.6×	189 0.9×	207 1.3×	64 0.4×	21	883
Gabriele Maffi Italy	8	254 0.6×	211 0.6×	94 0.5×	98 0.6×	149 1.0×	13	586
Francesco Pucciarelli Italy	13	535 1.2×	390 1.2×	128 0.6×	149 0.9×	104 0.7×	21	868
Xi Xu China	10	247 0.6×	419 1.2×	130 0.7×	244 1.5×	56 0.4×	25	789
Carlotta Rucci Italy	9	476 1.1×	297 0.9×	103 0.5×	91 0.6×	54 0.4×	17	657

Countries citing papers authored by Bram Geurts

Since Specialization

Citations

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

Fields of papers citing papers by Bram Geurts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bram Geurts

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

All Works

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13 of 13 papers shown

Costa, Paulo R. R., Rosana Moreira da Rocha, Wilson Marques, et al.. (2025). Hybrid phantom for lung CT: Design and validation. Medical Physics. 52(8). e17990–e17990.

Janssen, Marcel J. R., et al.. (2025). Lung shunting and radiation pneumonitis after holmium-166 TARE: a case study. PubMed. 9(1). 23–23.

Schalekamp, Steven, Kicky G. van Leeuwen, Erdi Çallı, et al.. (2024). Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload. European Radiology. 34(11). 7255–7263. 8 indexed citations

Zweijpfenning, Sanne M.H., Rob E. Aarnoutse, Martin J. Boeree, et al.. (2023). Safety and Efficacy of Clofazimine as an Alternative for Rifampicin in Mycobacterium avium Complex Pulmonary Disease Treatment. CHEST Journal. 165(5). 1082–1092. 18 indexed citations

Janssen, S., Daniel Overhoff, Bram Geurts, et al.. (2023). Influence of device-assisted suction against resistance (Mueller maneuver) on image quality in CTPA for suspected lung embolism. European Radiology. 33(11). 7840–7848.

Jacobs, Colin, Anton Schreuder, Sarah J. van Riel, et al.. (2021). Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement. Radiology Imaging Cancer. 3(5). e200160–e200160. 21 indexed citations

Jacobs, Colin, Arnaud A. A. Setio, Ernst T. Scholten, et al.. (2021). Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists. Radiology Artificial Intelligence. 3(6). e210027–e210027. 29 indexed citations

Prokop, Mathias, Wouter M. van Everdingen, Henriëtte M. E. Quarles van Ufford, et al.. (2020). CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19—Definition and Evaluation. Radiology. 296(2). E97–E104. 550 indexed citations breakdown →

Vries‐Bouwstra, Jeska de, C.H.M. van den Ende, Bram Geurts, et al.. (2020). Predictive factors for treatment-related mortality and major adverse events after autologous haematopoietic stem cell transplantation for systemic sclerosis: results of a long-term follow-up multicentre study. Annals of the Rheumatic Diseases. 79(8). 1084–1089. 40 indexed citations

10.

Grob, D., Ewoud J. Smit, Jip F. Prince, et al.. (2019). Iodine Maps from Subtraction CT or Dual-Energy CT to Detect Pulmonary Emboli with CT Angiography: A Multiple-Observer Study. Radiology. 292(1). 197–205. 38 indexed citations

11.

Riel, Sarah J. van, Colin Jacobs, Ernst T. Scholten, et al.. (2018). Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management. European Radiology. 29(2). 924–931. 44 indexed citations

12.

Schalekamp, Steven, Nico Karssemeijer, Bartjan de Hoop, et al.. (2016). The Effect of Supplementary Bone-Suppressed Chest Radiographs on the Assessment of a Variety of Common Pulmonary Abnormalities. Journal of Thoracic Imaging. 31(2). 119–125. 8 indexed citations

13.

Geurts, Bram, Teuntje M. J. C. Andriessen, Bożena Góraj, & Pieter E. Vos. (2012). The reliability of magnetic resonance imaging in traumatic brain injury lesion detection. Brain Injury. 26(12). 1439–1450. 60 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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