Alexander Broersen

2.4k total citations
71 papers, 1.5k citations indexed

About

Alexander Broersen is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Alexander Broersen has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Radiology, Nuclear Medicine and Imaging, 43 papers in Surgery and 20 papers in Biomedical Engineering. Recurrent topics in Alexander Broersen's work include Cardiac Imaging and Diagnostics (53 papers), Coronary Interventions and Diagnostics (41 papers) and Cerebrovascular and Carotid Artery Diseases (15 papers). Alexander Broersen is often cited by papers focused on Cardiac Imaging and Diagnostics (53 papers), Coronary Interventions and Diagnostics (41 papers) and Cerebrovascular and Carotid Artery Diseases (15 papers). Alexander Broersen collaborates with scholars based in Netherlands, United States and United Kingdom. Alexander Broersen's co-authors include Pieter Kitslaar, Jouke Dijkstra, Jeroen J. Bax, Johan H. C. Reiber, Victoria Delgado, Mark J. Boogers, J. Wouter Jukema, Arthur J. Scholte, Michiel A. de Graaf and Martin J. Schalij and has published in prestigious journals such as Circulation, Neurology and Stroke.

In The Last Decade

Alexander Broersen

68 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Broersen Netherlands	20	1.0k	690	415	403	299	71	1.5k
Ran Klein Canada	25	1.8k 1.7×	299 0.4×	502 1.2×	503 1.2×	218 0.7×	97	2.3k
Nidal Al‐Saadi Germany	21	1.9k 1.8×	506 0.7×	1.2k 2.9×	511 1.3×	122 0.4×	24	2.6k
Gualtiero Pelosi Italy	22	473 0.5×	472 0.7×	822 2.0×	182 0.5×	238 0.8×	135	1.7k
Paul W. Doherty United States	19	693 0.7×	182 0.3×	349 0.8×	193 0.5×	136 0.5×	41	1.2k
Li‐Yueh Hsu United States	26	2.0k 2.0×	443 0.6×	1.4k 3.3×	304 0.8×	112 0.4×	102	2.7k
Danilo Neglia Italy	31	1.4k 1.3×	783 1.1×	1.9k 4.5×	264 0.7×	165 0.6×	167	3.0k
Shiro Nakamori Japan	22	977 0.9×	247 0.4×	979 2.4×	280 0.7×	162 0.5×	107	1.7k
Takashi Naruke Japan	17	488 0.5×	290 0.4×	370 0.9×	103 0.3×	997 3.3×	62	1.7k
Szilárd Vörös United States	23	1.4k 1.3×	1.4k 2.0×	1.1k 2.7×	400 1.0×	430 1.4×	95	2.7k
Mark D. Benson United States	22	223 0.2×	348 0.5×	340 0.8×	102 0.3×	174 0.6×	48	1.6k

Countries citing papers authored by Alexander Broersen

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Broersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Broersen

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

All Works

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20 of 20 papers shown

Tanboğa, İbrahi̇m Hali̇l, Anantharaman Ramasamy, Pieter Kitslaar, et al.. (2025). Implications of computed tomography reconstruction algorithms on coronary atheroma composition: A head-to-head comparison with multimodality near-infrared spectroscopy intravascular ultrasound imaging. Journal of cardiovascular computed tomography. 19(6). 665–676.

Bijlstra, Okker D., Alexander Broersen, Jouke Dijkstra, et al.. (2024). Semi-automatic standardized analysis method to objectively evaluate near-infrared fluorescent dyes in image-guided surgery. Journal of Biomedical Optics. 29(2). 26001–26001. 3 indexed citations

Geest, Rob J. van der, et al.. (2024). Comparison of left ventricular mass and wall thickness between cardiac computed tomography angiography and cardiac magnetic resonance imaging using machine learning algorithms. PubMed. 2(3). qyae069–qyae069. 1 indexed citations

Broersen, Alexander, et al.. (2023). Computational Modeling of Thermal Ablation Zones in the Liver: A Systematic Review. Cancers. 15(23). 5684–5684. 7 indexed citations

Kuneman, Jurriën H., Inge J. van den Hoogen, Jussi Schultz, et al.. (2023). Plaque volume, composition, and fraction versus ischemia and outcomes in patients with coronary artery disease. Journal of cardiovascular computed tomography. 17(3). 177–184. 6 indexed citations

Boekestijn, Bas, Alexander Broersen, Minneke J. Coenraad, et al.. (2023). Intraprocedural assessment of ablation margins using computed tomography co-registration in hepatocellular carcinoma treatment with percutaneous ablation: IAMCOMPLETE study. Diagnostic and Interventional Imaging. 105(2). 57–64. 5 indexed citations

Broersen, Alexander, et al.. (2023). Ablation margin quantification after thermal ablation of malignant liver tumors: How to optimize the procedure? A systematic review of the available evidence. European Journal of Radiology Open. 11. 100501–100501. 6 indexed citations

Schultz, Jussi, Inge J. van den Hoogen, Jurriën H. Kuneman, et al.. (2022). Coronary computed tomography angiography-based endothelial wall shear stress in normal coronary arteries. The International Journal of Cardiovascular Imaging. 39(2). 441–450. 4 indexed citations

Bijlstra, Okker D., Alexander Broersen, Friso B. Achterberg, et al.. (2022). Integration of Three-Dimensional Liver Models in a Multimodal Image-Guided Robotic Liver Surgery Cockpit. Life. 12(5). 667–667. 12 indexed citations

10.

Geest, Rob J. van der, et al.. (2022). Correlation between quantification of myocardial area at risk and ischemic burden at cardiac computed tomography. European Journal of Radiology Open. 9. 100417–100417. 3 indexed citations

11.

Geest, Rob J. van der, et al.. (2022). Utilizing (serial) coronary computed tomography angiography (CCTA) to predict plaque progression and major adverse cardiac events (MACE): results, merits and challenges. European Radiology. 32(5). 3408–3422. 10 indexed citations

12.

Wieringa, Wouter G., Chris P. H. Lexis, Erik Lipšic, et al.. (2017). In vivo coronary lesion differentiation with computed tomography angiography and intravascular ultrasound as compared to optical coherence tomography. Journal of cardiovascular computed tomography. 11(2). 111–118. 4 indexed citations

13.

Čeponienė, Indrė, Rine Nakanishi, Kazuhiro Osawa, et al.. (2017). Coronary Artery Calcium Progression Is Associated With Coronary Plaque Volume Progression. JACC. Cardiovascular imaging. 11(12). 1785–1794. 18 indexed citations

14.

Cao, Qing, Alexander Broersen, Michiel A. de Graaf, et al.. (2017). Automatic identification of coronary tree anatomy in coronary computed tomography angiography. International journal of cardiac imaging. 33(11). 1809–1819. 23 indexed citations

15.

Liu, Ting, Pál Maurovich‐Horvat, Thomas Mayrhofer, et al.. (2017). Quantitative coronary plaque analysis predicts high-risk plaque morphology on coronary computed tomography angiography: results from the ROMICAT II trial. International journal of cardiac imaging. 34(2). 311–319. 24 indexed citations

16.

Park, Hyung‐Bok, Byoung Kwon Lee, Sanghoon Shin, et al.. (2015). Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound. European Radiology. 25(10). 3073–3083. 64 indexed citations

17.

Rossi, Alexia, Stella‐Lida Papadopoulou, Francesca Pugliese, et al.. (2013). Quantitative Computed Tomographic Coronary Angiography. Circulation Cardiovascular Imaging. 7(1). 43–51. 55 indexed citations

18.

Rossi, Alexia, Andrew Wragg, Ceri Davies, et al.. (2013). Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions?. European Heart Journal - Cardiovascular Imaging. 15(1). 85–94. 108 indexed citations

19.

Yang, Guanyu, Pieter Kitslaar, Michel Frenay, et al.. (2011). Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography. International journal of cardiac imaging. 28(4). 921–933. 119 indexed citations

20.

Boogers, Mark J., Alexander Broersen, Joanne D. Schuijf, et al.. (2010). Automated Quantification of Coronary Plaque using a Novel Dedicated Registration Tool: A Feasibility Study with Multi-Detector Row Computed Tomography and Intravascular Ultrasound. Circulation. 122(21). 1 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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