Marco Caballo

527 total citations
30 papers, 375 citations indexed

About

Marco Caballo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Marco Caballo has authored 30 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 12 papers in Artificial Intelligence. Recurrent topics in Marco Caballo's work include Medical Imaging Techniques and Applications (16 papers), Digital Radiography and Breast Imaging (15 papers) and AI in cancer detection (12 papers). Marco Caballo is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Digital Radiography and Breast Imaging (15 papers) and AI in cancer detection (12 papers). Marco Caballo collaborates with scholars based in Netherlands, Italy and United States. Marco Caballo's co-authors include Ioannis Sechopoulos, Ritse M. Mann, Christian Fedon, John M. Boone, Oliver Díaz, Koen Michielsen, Wendy J. Huinck, Emmanuel A. M. Mylanus, Berit M. Verbist and Floris Heutink and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Journal of Magnetic Resonance Imaging.

In The Last Decade

Marco Caballo

30 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Caballo Netherlands 13 284 147 113 102 28 30 375
Xinzhi Teng Hong Kong 12 281 1.0× 98 0.7× 49 0.4× 76 0.7× 12 0.4× 41 356
Tobias Hepp Germany 12 263 0.9× 69 0.5× 89 0.8× 86 0.8× 6 0.2× 26 405
G. Guidi Italy 13 236 0.8× 118 0.8× 51 0.5× 63 0.6× 40 1.4× 35 388
Fereshteh Yousefirizi Canada 11 249 0.9× 73 0.5× 41 0.4× 89 0.9× 7 0.3× 38 357
Zhenhui Dai China 11 267 0.9× 58 0.4× 80 0.7× 127 1.2× 14 0.5× 34 464
Kenta Ninomiya Japan 9 216 0.8× 115 0.8× 66 0.6× 58 0.6× 11 0.4× 29 283
Mehmet Ufuk Dalmış Netherlands 9 367 1.3× 64 0.4× 253 2.2× 45 0.4× 17 0.6× 10 433
Lizhi Shao China 9 174 0.6× 91 0.6× 72 0.6× 25 0.2× 33 1.2× 28 244
Steven Michiels Belgium 8 242 0.9× 154 1.0× 87 0.8× 91 0.9× 16 0.6× 16 443
Adrien Le Pogam France 5 426 1.5× 83 0.6× 38 0.3× 119 1.2× 18 0.6× 13 461

Countries citing papers authored by Marco Caballo

Since Specialization
Citations

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

Fields of papers citing papers by Marco Caballo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Caballo

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Caballo. A scholar is included among the top collaborators of Marco Caballo 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 Marco Caballo. Marco Caballo 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.
Boers, Tim, Marco Caballo, Erwin J. M. van Geenen, et al.. (2023). Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head. Diagnostics. 13(20). 3198–3198. 5 indexed citations
2.
Sechopoulos, Ioannis, David R. Dance, John M. Boone, et al.. (2023). Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast‐enhanced mammography and breast tomosynthesis. Medical Physics. 51(2). 712–739. 9 indexed citations
3.
Caballo, Marco, et al.. (2023). Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors. Journal of Medical Imaging. 11(1). 14001–14001. 5 indexed citations
4.
Ma, Yue, Yuwei Zhang, Haijie Li, et al.. (2023). Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study. European Radiology. 34(4). 2576–2589. 8 indexed citations
5.
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7.
Caballo, Marco, Christian Fedon, Alejandro Rodríguez‐Ruiz, et al.. (2022). Patient‐derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis. Medical Physics. 49(8). 5423–5438. 18 indexed citations
8.
Caballo, Marco, Andrew M. Hernandez, Jonas Teuwen, et al.. (2021). Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features. Journal of Medical Imaging. 8(2). 24501–24501. 13 indexed citations
9.
Heutink, Floris, Berit M. Verbist, Emmanuel A. M. Mylanus, et al.. (2020). Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images. Computer Methods and Programs in Biomedicine. 191. 105387–105387. 51 indexed citations
10.
Caballo, Marco, Peter Bult, Willem Vreuls, et al.. (2020). Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers. European Journal of Surgical Oncology. 46(8). 1463–1470. 10 indexed citations
11.
Fedon, Christian, et al.. (2020). Realistic compressed breast phantoms for medical physics applications. 73–73. 9 indexed citations
12.
Caballo, Marco, et al.. (2020). Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence. Computers in Biology and Medicine. 118. 103629–103629. 58 indexed citations
13.
Caballo, Marco, Andrew M. Hernandez, Filippo Molinari, et al.. (2020). Multi‐marker quantitative radiomics for mass characterization in dedicated breast CT imaging. Medical Physics. 48(1). 313–328. 16 indexed citations
14.
Hansen, Hendrik H.G., Bogdan Maris, Vincent Groenhuis, et al.. (2019). Ultrasound-guided breast biopsy of ultrasound occult lesions using multimodality image co-registration and tissue displacement tracking. University of Twente Research Information. 1 indexed citations
15.
Caballo, Marco, Koen Michielsen, Christian Fedon, & Ioannis Sechopoulos. (2019). Towards 4D dedicated breast CT perfusion imaging of cancer: development and validation of computer simulated images. Physics in Medicine and Biology. 64(24). 245004–245004. 18 indexed citations
16.
Fedon, Christian, Marco Caballo, Oliver Díaz, et al.. (2018). Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis. Physics in Medicine and Biology. 64(1). 15003–15003. 6 indexed citations
17.
Caballo, Marco, Christian Fedon, Luca Brombal, et al.. (2018). Development of 3D patient-based super-resolution digital breast phantoms using machine learning. Physics in Medicine and Biology. 63(22). 225017–225017. 12 indexed citations
18.
Fedon, Christian, Luca Brombal, Marco Caballo, et al.. (2018). [OA244] Monochromatic phase-contrast breast CT: A phantom-based image comparison with a clinical system. Physica Medica. 52. 91–92. 1 indexed citations
19.
Caresio, Cristina, Marco Caballo, Maurilio Deandrea, et al.. (2018). Quantitative analysis of thyroid tumors vascularity: A comparison between 3‐D contrast‐enhanced ultrasound and 3‐D Power Doppler on benign and malignant thyroid nodules. Medical Physics. 45(7). 3173–3184. 15 indexed citations
20.
Caballo, Marco, et al.. (2006). Tratamiento de fístulas carótido-cavernosas. Radiología. 48(6). 375–383. 3 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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