Francesco De Carlo

10.1k total citations · 3 hit papers
203 papers, 7.4k citations indexed

About

Francesco De Carlo is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Francesco De Carlo has authored 203 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiation, 51 papers in Radiology, Nuclear Medicine and Imaging and 48 papers in Biomedical Engineering. Recurrent topics in Francesco De Carlo's work include Advanced X-ray Imaging Techniques (63 papers), Medical Imaging Techniques and Applications (47 papers) and Advanced X-ray and CT Imaging (38 papers). Francesco De Carlo is often cited by papers focused on Advanced X-ray Imaging Techniques (63 papers), Medical Imaging Techniques and Applications (47 papers) and Advanced X-ray and CT Imaging (38 papers). Francesco De Carlo collaborates with scholars based in United States, Italy and China. Francesco De Carlo's co-authors include Xianghui Xiao, Doğa Gürsoy, Chris Jacobsen, Nikhilesh Chawla, Jason Williams, Florian Fußeis, Kamel Fezzaa, Stuart R. Stock, Lianyi Chen and Ross Cunningham and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Francesco De Carlo

197 papers receiving 7.1k citations

Hit Papers

TomoPy: a framework for the analysis of synchrotron tomog... 2014 2026 2018 2022 2014 2017 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco De Carlo United States 47 1.7k 1.4k 1.3k 1.2k 1.2k 203 7.4k
Alexander Rack France 47 1.5k 0.9× 1.2k 0.9× 1.8k 1.4× 1.3k 1.1× 1.5k 1.2× 279 6.8k
Federica Marone Switzerland 55 1.2k 0.7× 1.7k 1.3× 1.4k 1.1× 3.0k 2.5× 1.4k 1.1× 261 10.1k
Marco Di Michiel France 54 2.1k 1.3× 3.2k 2.4× 1.6k 1.2× 2.6k 2.2× 1.8k 1.5× 243 9.2k
Xianghui Xiao United States 49 2.8k 1.7× 2.0k 1.5× 701 0.5× 2.9k 2.4× 1000 0.8× 247 10.0k
Akihisa Takeuchi Japan 38 1.5k 0.9× 1.8k 1.3× 1.4k 1.1× 1.1k 0.9× 721 0.6× 412 6.3k
Stuart R. Stock United States 44 1.1k 0.7× 1.4k 1.1× 750 0.6× 731 0.6× 2.3k 2.0× 269 8.8k
Robert Atwood United Kingdom 39 2.7k 1.6× 1.3k 0.9× 410 0.3× 407 0.3× 791 0.7× 115 5.1k
Marco Stampanoni Switzerland 65 1.3k 0.8× 2.0k 1.5× 5.6k 4.3× 2.8k 2.4× 3.7k 3.1× 460 17.3k
Michael Drakopoulos United Kingdom 34 784 0.5× 1.1k 0.8× 1.2k 0.9× 881 0.7× 618 0.5× 121 4.1k
Peter Cloetens France 67 2.4k 1.4× 3.2k 2.3× 6.9k 5.4× 2.1k 1.7× 3.8k 3.2× 331 16.5k

Countries citing papers authored by Francesco De Carlo

Since Specialization
Citations

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

Fields of papers citing papers by Francesco De Carlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco De Carlo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco De Carlo. A scholar is included among the top collaborators of Francesco De Carlo 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 Francesco De Carlo. Francesco De Carlo 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.
Nikitin, Viktor, Gregg Wildenberg, Alberto Mittone, et al.. (2024). Laminography as a tool for imaging large-size samples with high resolution. Journal of Synchrotron Radiation. 31(4). 851–866. 5 indexed citations
2.
Nikitin, Viktor, Si Chen, Pavel Shevchenko, et al.. (2024). Multiscale porosity characterization in additively manufactured polymer nanocomposites using micro-computed tomography. Additive manufacturing. 86. 104199–104199. 11 indexed citations
3.
4.
Huang, Ying, Yechuan Chen, Mingjie Xu, et al.. (2023). Catalysts by pyrolysis: Transforming metal-organic frameworks (MOFs) precursors into metal-nitrogen-carbon (M-N-C) materials. Materials Today. 69. 66–78. 101 indexed citations
5.
Panunzio, Andrea, Francesco De Carlo, Sara De Matteis, et al.. (2023). Current Knowledge on Radiation-Therapy-Induced Erectile Dysfunction in Prostate-Cancer Patients: A Narrative Review. SHILAP Revista de lepidopterología. 3(2). 104–116. 1 indexed citations
6.
Panunzio, Andrea, Francesco De Carlo, Zhe Tian, et al.. (2023). Transperineal Laser Ablation for Benign Prostatic Enlargement: A Systematic Review and Pooled Analysis of Pilot Studies. Journal of Clinical Medicine. 12(5). 1860–1860. 14 indexed citations
7.
Nikitin, Viktor, Aniket Tekawade, Anton A. Duchkov, Pavel Shevchenko, & Francesco De Carlo. (2022). Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest. Journal of Synchrotron Radiation. 29(3). 816–828. 29 indexed citations
8.
Andrade, Vincent De, Viktor Nikitin, Michael Wojcik, et al.. (2021). Fast X‐ray Nanotomography with Sub‐10 nm Resolution as a Powerful Imaging Tool for Nanotechnology and Energy Storage Applications. Advanced Materials. 33(21). e2008653–e2008653. 49 indexed citations
9.
Mizutani, Ryuta, Yoshiro Yamamoto, Masayuki Uesugi, et al.. (2021). Structural diverseness of neurons between brain areas and between cases. Translational Psychiatry. 11(1). 49–49. 10 indexed citations
10.
Gao, Jinling, Zherui Guo, Nesredin Kedir, et al.. (2021). Transverse impact by RCCs on S-glass and Kevlar® FRC strips. Composites Part A Applied Science and Manufacturing. 146. 106425–106425. 6 indexed citations
11.
Nikitin, Viktor, et al.. (2020). Dynamic in-situ imaging of methane hydrate formation and self-preservation in porous media. Marine and Petroleum Geology. 115. 104234–104234. 52 indexed citations
12.
Liu, Zhengchun, Tekin Biçer, Rajkumar Kettimuthu, et al.. (2019). TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks.. arXiv (Cornell University). 7 indexed citations
13.
Mizutani, Ryuta, Akihisa Takeuchi, Kentaro Uesugi, et al.. (2019). Three-dimensional alteration of neurites in schizophrenia. Translational Psychiatry. 9(1). 85–85. 22 indexed citations
14.
Mizutani, Ryuta, Akihisa Takeuchi, Kentaro Uesugi, et al.. (2018). Brain tissue fingerprints of schizophrenia and control individuals. arXiv (Cornell University). 1 indexed citations
15.
Carlo, Francesco De, Doğa Gürsoy, Kees Joost Batenburg, et al.. (2017). TomoBank: a tomographic data repository for computational x-ray science. Measurement Science and Technology. 29(3). 34004–34004. 65 indexed citations
16.
Fußeis, Florian, et al.. (2009). Creep cavitation can establish a dynamic granular fluid pump in ductile shear zones. Nature. 459(7249). 974–977. 216 indexed citations
17.
Stock, Stuart R., et al.. (2007). Synchrotron microComputed Tomography of the mature bovine dentinoenamel junction. Journal of Structural Biology. 161(2). 162–171. 29 indexed citations
18.
Cacciola, Matteo, et al.. (2006). Ultrasonic Pulse-Echoes and Eddy Current Testing for Detection, Recognition and Characterisation of Flaws Detected in Metallic Plates. 6 indexed citations
19.
Tangaro, Sabina, Francesco De Carlo, G. Gargano, et al.. (2006). Mass lesion detection in mammographic images using Haralik textural features. UNICA IRIS Institutional Research Information System (University of Cagliari). 429–434. 1 indexed citations
20.
Bottigli, U., Bruno Golosio, Giovanni Luca Masala, et al.. (2005). DISSIMILARITY APPLICATION FOR MEDICAL IMAGING CLASSIFICATION. Nova Science Publishers (Nova Science Publishers, Inc.). 2 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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