Koen Nieman

25.6k total citations · 6 hit papers
273 papers, 12.1k citations indexed

About

Koen Nieman is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Koen Nieman has authored 273 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 225 papers in Radiology, Nuclear Medicine and Imaging, 116 papers in Surgery and 95 papers in Biomedical Engineering. Recurrent topics in Koen Nieman's work include Cardiac Imaging and Diagnostics (218 papers), Advanced X-ray and CT Imaging (91 papers) and Coronary Interventions and Diagnostics (88 papers). Koen Nieman is often cited by papers focused on Cardiac Imaging and Diagnostics (218 papers), Advanced X-ray and CT Imaging (91 papers) and Coronary Interventions and Diagnostics (88 papers). Koen Nieman collaborates with scholars based in Netherlands, United States and United Kingdom. Koen Nieman's co-authors include Pim J. de Feyter, Filippo Cademartiri, Gabriël P. Krestin, Peter M. T. Pattynama, Nico R. Mollet, Ricardo C. Cury, Suhny Abbara, Robert‐Jan van Geuns, Benno J. Rensing and Rolf Raaijmakers and has published in prestigious journals such as The Lancet, Circulation and Annals of Internal Medicine.

In The Last Decade

Koen Nieman

257 papers receiving 11.7k citations

Hit Papers

Diagnostic Accuracy of 64-Slice Computed Tomography Coron... 2001 2026 2009 2017 2008 2002 2014 2009 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koen Nieman Netherlands 54 9.4k 5.2k 4.5k 4.4k 1.6k 273 12.1k
Filippo Cademartiri Italy 51 8.7k 0.9× 3.6k 0.7× 3.5k 0.8× 4.5k 1.0× 1.8k 1.2× 400 11.2k
Dieter Ropers Germany 52 8.6k 0.9× 3.5k 0.7× 2.7k 0.6× 4.7k 1.1× 1.7k 1.1× 134 10.2k
Ricardo C. Cury United States 54 8.3k 0.9× 3.1k 0.6× 4.7k 1.0× 3.6k 0.8× 1.7k 1.1× 216 11.2k
James A. Goldstein United States 45 5.2k 0.6× 4.4k 0.8× 4.4k 1.0× 2.8k 0.6× 1.7k 1.1× 152 9.3k
Nico R. Mollet Netherlands 53 8.1k 0.9× 3.4k 0.7× 3.1k 0.7× 3.9k 0.9× 1.1k 0.7× 141 9.3k
Werner G. Daniel Germany 44 5.5k 0.6× 3.5k 0.7× 4.2k 0.9× 2.5k 0.6× 3.0k 1.9× 125 10.2k
Jörg Hausleiter Germany 55 5.7k 0.6× 6.7k 1.3× 8.8k 1.9× 4.5k 1.0× 2.1k 1.4× 293 14.5k
Pamela K. Woodard United States 43 4.0k 0.4× 2.4k 0.5× 3.7k 0.8× 1.9k 0.4× 1.4k 0.9× 202 7.7k
Andreas H. Mahnken Germany 51 5.2k 0.6× 2.0k 0.4× 2.1k 0.5× 2.9k 0.7× 2.3k 1.5× 425 9.8k
Gianluca Pontone Italy 41 4.2k 0.4× 2.1k 0.4× 4.5k 1.0× 1.4k 0.3× 1.0k 0.7× 403 7.3k

Countries citing papers authored by Koen Nieman

Since Specialization
Citations

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

Fields of papers citing papers by Koen Nieman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koen Nieman

This figure shows the co-authorship network connecting the top 25 collaborators of Koen Nieman. A scholar is included among the top collaborators of Koen Nieman 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 Koen Nieman. Koen Nieman 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.
Budde, Ricardo P.J., Suhny Abbara, Hatem Alkadhi, et al.. (2025). Cardiac Computed Tomography for Prosthetic Heart Valve Assessment. Journal of the American College of Cardiology. 86(15). 1203–1230.
2.
Nørgaard, Bjarne Linde, Kristian Altern Øvrehus, Jesper Møller Jensen, et al.. (2025). Long-term prognostic impact of complete revascularisation defined by CT-derived fractional flow reserve. Heart. heartjnl–2025.
4.
Williams, Michelle C., Jonathan Weir‐McCall, Lauren A. Baldassarre, et al.. (2024). Artificial Intelligence and Machine Learning for Cardiovascular Computed Tomography (CCT): A White Paper of the Society of Cardiovascular Computed Tomography (SCCT). Journal of cardiovascular computed tomography. 18(6). 519–532. 11 indexed citations
5.
Nørgaard, Bjarne Linde, Kristian Altern Øvrehus, Jesper Møller Jensen, et al.. (2024). Coronary computed tomography angiography derived fractional flow reserve and risk of recurrent angina: A 3-year follow-up study. Journal of cardiovascular computed tomography. 18(3). 243–250.
6.
Khan, Muhammad Owais, et al.. (2024). Quantification and Visualization of CT Myocardial Perfusion Imaging to Detect Ischemia-Causing Coronary Arteries. IEEE Transactions on Medical Imaging. 43(11). 3690–3697. 1 indexed citations
7.
Nørgaard, Bjarne Linde, Kristian Altern Øvrehus, Jesper Møller Jensen, et al.. (2024). Completeness of revascularization by FFRCT in stable angina: Association to adverse cardiovascular outcomes. Journal of cardiovascular computed tomography. 18(5). 494–502. 2 indexed citations
8.
Nørgaard, Bjarne Linde, Kristian Altern Øvrehus, Jesper Møller Jensen, et al.. (2023). Prognostic Value of Coronary CT Angiography–derived Fractional Flow Reserve on 3-year Outcomes in Patients with Stable Angina. Radiology. 308(3). e230524–e230524. 21 indexed citations
9.
Coronado, Pamela E. Rios, Mingming Zhao, Martin R. Pfaller, et al.. (2022). Blood flow modeling reveals improved collateral artery performance during the regenerative period in mammalian hearts. Nature Cardiovascular Research. 1(8). 775–790. 11 indexed citations
10.
Pontone, Gianluca, Alexia Rossi, Marco Guglielmo, et al.. (2021). Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging—part II. European Heart Journal - Cardiovascular Imaging. 23(4). e136–e161. 33 indexed citations
11.
Nørgaard, Bjarne Linde, Sara Gaur, Timothy Fairbairn, et al.. (2021). Prognostic value of coronary computed tomography angiographic derived fractional flow reserve: a systematic review and meta-analysis. Heart. 108(3). 194–202. 53 indexed citations
12.
Nous, Fay M. A., Kadir Çalişkan, Jasper J. Brugts, et al.. (2021). Clinical implementation of coronary computed tomography angiography for routine detection of cardiac allograft vasculopathy in heart transplant patients. Transplant International. 34(10). 1886–1894. 17 indexed citations
13.
Pontone, Gianluca, Alexia Rossi, Marco Guglielmo, et al.. (2021). Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging—part I. European Heart Journal - Cardiovascular Imaging. 23(3). 299–314. 40 indexed citations
14.
Nazir, Muhummad Sohaib, Tarun Mittal, Jonathan Weir‐McCall, et al.. (2020). Opportunities and challenges of implementing computed tomography fractional flow reserve into clinical practice. Heart. 106(18). 1387–1393. 13 indexed citations
15.
Willemink, Martin J., Niels R. van der Werf, Koen Nieman, et al.. (2018). Coronary artery calcium: A technical argument for a new scoring method. Journal of cardiovascular computed tomography. 13(6). 347–352. 34 indexed citations
16.
Weir‐McCall, Jonathan, Nidhi Madan, Todd C. Villines, et al.. (2018). Highlights of the thirteenth annual scientific meeting of the Society of Cardiovascular Computed Tomography. Journal of cardiovascular computed tomography. 12(6). 523–528. 2 indexed citations
17.
Weir‐McCall, Jonathan, Todd C. Villines, Leslee J. Shaw, et al.. (2017). Highlights of the Twelfth Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography. Journal of cardiovascular computed tomography. 12(1). 3–7. 4 indexed citations
18.
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
19.
Çalişkan, Kadir, Admir Dedic, Willem B. Meijboom, et al.. (2013). Computed Tomography Coronary Imaging as a Gatekeeper for Invasive Coronary Angiography in Patients with Newly Diagnosed Heart Failure of Unknown Aetiology. European Journal of Heart Failure. 15(9). 1028–1034. 15 indexed citations
20.
Genders, Tessa S.S., Bart S. Ferket, Admir Dedic, et al.. (2012). Coronary computed tomography versus exercise testing in patients with stable chest pain: comparative effectiveness and costs. International Journal of Cardiology. 167(4). 1268–1275. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026