Fabio De Marco

1.5k total citations
43 papers, 399 citations indexed

About

Fabio De Marco is a scholar working on Radiation, Biomedical Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Fabio De Marco has authored 43 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiation, 18 papers in Biomedical Engineering and 12 papers in Nuclear and High Energy Physics. Recurrent topics in Fabio De Marco's work include Advanced X-ray Imaging Techniques (25 papers), Advanced X-ray and CT Imaging (13 papers) and Magnetic confinement fusion research (9 papers). Fabio De Marco is often cited by papers focused on Advanced X-ray Imaging Techniques (25 papers), Advanced X-ray and CT Imaging (13 papers) and Magnetic confinement fusion research (9 papers). Fabio De Marco collaborates with scholars based in Italy, Germany and Switzerland. Fabio De Marco's co-authors include Julia Herzen, Franz Pfeiffer, L. Pieroni, R. Cesario, Konstantin Willer, F. Santini, R. Giannella, G. Mazzitelli, A. Cardinali and Pierre Thibault and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and PLoS ONE.

In The Last Decade

Fabio De Marco

37 papers receiving 373 citations

Peers

Fabio De Marco
R. Redus United States
Myungkook Moon South Korea
V. Simcic United States
W. R. Cook United States
L. Fabris United States
D. Pacella Italy
Yoichi Yatsu Japan
E.L. Hull United States
Jessica A. Gaskin United States
S. Billotta Italy
R. Redus United States
Fabio De Marco
Citations per year, relative to Fabio De Marco Fabio De Marco (= 1×) peers R. Redus

Countries citing papers authored by Fabio De Marco

Since Specialization
Citations

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

Fields of papers citing papers by Fabio De Marco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio De Marco. 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 Fabio De Marco. The network helps show where Fabio De Marco may publish in the future.

Co-authorship network of co-authors of Fabio De Marco

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio De Marco. A scholar is included among the top collaborators of Fabio De Marco 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 Fabio De Marco. Fabio De Marco 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.
Burger, Johannes Faas, et al.. (2025). ZEN-garden: Optimizing energy transition pathways with user-oriented data handling. SoftwareX. 29. 102059–102059. 2 indexed citations
2.
Marco, Fabio De, Jörg U. Hammel, Madleen Busse, et al.. (2025). High-resolution X-ray phase-contrast tomography of human placenta with different wavefront markers. Scientific Reports. 15(1). 2131–2131. 2 indexed citations
3.
Marco, Fabio De, et al.. (2025). Climate-resilient energy systems planning via system-informed identification of stressful events. Advances in Applied Energy. 19. 100235–100235.
4.
Trapani, Vittorio Di, Marie‐Christine Zdora, Fabio De Marco, et al.. (2024). Robust dark-field signal extraction for modulation-based x-ray tensor tomography. Applied Physics Letters. 125(26).
5.
Marco, Fabio De, Jörg U. Hammel, Julian Moosmann, et al.. (2024). Recent developments in quantitative phase-contrast microtomography using Talbot Array Illuminators. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 39–39. 1 indexed citations
6.
Marco, Fabio De, et al.. (2024). Extending the field-of-view of speckle-based microtomography with the UMPA model. ePrints Soton (University of Southampton). 31–31. 1 indexed citations
7.
Trapani, Vittorio Di, Luca Brombal, Fabio De Marco, Diego Dreossi, & Pierre Thibault. (2023). Unified Modulation Pattern Analysis (UMPA) algorithm for 1D sensitive X-ray phase contrast imaging techniques. Journal of Instrumentation. 18(1). C01059–C01059. 3 indexed citations
8.
Willer, Konstantin, Wolfgang Noichl, Theresa Urban, et al.. (2023). X-ray dark-field chest radiography: a reader study to evaluate the diagnostic quality of attenuation chest X-rays from a dual-contrast scanning prototype. European Radiology. 33(8). 5549–5556. 4 indexed citations
9.
Marco, Fabio De, et al.. (2023). Helical sample-stepping for faster speckle-based multi-modal tomography with the Unified Modulated Pattern Analysis (UMPA) model. Journal of Instrumentation. 18(11). C11020–C11020. 2 indexed citations
10.
Birnbacher, Lorenz, Margarita Braunagel, Marian Willner, et al.. (2023). Quantitative differentiation of minimal-fat angiomyolipomas from renal cell carcinomas using grating-based x-ray phase-contrast computed tomography: An ex vivo study. PLoS ONE. 18(4). e0279323–e0279323. 1 indexed citations
11.
Zdora, Marie‐Christine, Fabio De Marco, Christos Bikis, et al.. (2023). Multi-resolution X-ray phase-contrast and dark-field tomography of human cerebellum with near-field speckles. Biomedical Optics Express. 15(1). 142–142. 6 indexed citations
12.
Gassert, Florian T., Manuela Frank, Fabio De Marco, et al.. (2022). Assessment of Inflation in a Human Cadaveric Lung with Dark-Field Chest Radiography. Radiology Cardiothoracic Imaging. 4(6). e220093–e220093. 4 indexed citations
13.
Marco, Fabio De, et al.. (2022). High-speed processing of X-ray wavefront marking data with the Unified Modulated Pattern Analysis (UMPA) model. Optics Express. 31(1). 635–635. 15 indexed citations
14.
Marco, Fabio De, Ludovic Broche, Marie‐Christine Zdora, et al.. (2022). X-ray directional dark-field imaging using Unified Modulated Pattern Analysis. PLoS ONE. 17(8). e0273315–e0273315. 14 indexed citations
15.
Marco, Fabio De, Konstantin Willer, Wolfgang Noichl, et al.. (2021). Whole-body x-ray dark-field radiography of a human cadaver. European Radiology Experimental. 5(1). 6–6. 10 indexed citations
16.
Bodden, Jannis, Felix G. Gassert, Florian T. Gassert, et al.. (2021). Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance. Scientific Reports. 11(1). 15857–15857. 17 indexed citations
17.
Marco, Fabio De, Konstantin Willer, Wolfgang Noichl, et al.. (2021). Retrieval of 3D information in X-ray dark-field imaging with a large field of view. Scientific Reports. 11(1). 23504–23504. 3 indexed citations
18.
Sauter, Andreas, Fabio De Marco, Konstantin Willer, et al.. (2019). Optimization of tube voltage in X-ray dark-field chest radiography. Scientific Reports. 9(1). 8699–8699. 26 indexed citations
19.
Braunagel, Margarita, Lorenz Birnbacher, Marian Willner, et al.. (2017). Qualitative and Quantitative Imaging Evaluation of Renal Cell Carcinoma Subtypes with Grating-based X-ray Phase-contrast CT. Scientific Reports. 7(1). 45400–45400. 14 indexed citations
20.
Marco, Fabio De, et al.. (1987). ESCU-2 : A Distributed and Highly Reliable Processing Architecture for the Operation and Maintenance of Electromechanical Local Switching Exchanges. 701–705. 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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