Daniela Origgi

3.2k total citations · 1 hit paper
61 papers, 2.2k citations indexed

About

Daniela Origgi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela Origgi has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Biomedical Engineering and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela Origgi's work include Radiomics and Machine Learning in Medical Imaging (25 papers), Advanced X-ray and CT Imaging (24 papers) and Radiation Dose and Imaging (21 papers). Daniela Origgi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (25 papers), Advanced X-ray and CT Imaging (24 papers) and Radiation Dose and Imaging (21 papers). Daniela Origgi collaborates with scholars based in Italy, Switzerland and United Kingdom. Daniela Origgi's co-authors include Massimo Bellomi, Stefania Rizzo, Sara Raimondi, Francesca Botta, Cristiana Fanciullo, A.G. Morganti, P. De Marco, Cristiano Rampinelli, Sergio Salerno and Lorenzo Spaggiari and has published in prestigious journals such as Radiology, International Journal of Molecular Sciences and BMJ.

In The Last Decade

Daniela Origgi

58 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Radiomics: the facts and the challenges of image analysis

2018 727 citations Stefania Rizzo, Francesca Botta et al. European Radiology Experimental profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Origgi Italy	24	1.7k	681	645	251	230	61	2.2k
Margarita Kirienko Italy	28	1.8k 1.0×	376 0.6×	913 1.4×	255 1.0×	489 2.1×	69	2.3k
Fanny Orlhac France	21	2.9k 1.7×	833 1.2×	914 1.4×	373 1.5×	499 2.2×	48	3.1k
Francesca Botta Italy	25	1.7k 1.0×	339 0.5×	622 1.0×	218 0.9×	408 1.8×	62	2.2k
Peter Gibbs United Kingdom	32	4.0k 2.4×	580 0.9×	1.2k 1.9×	573 2.3×	409 1.8×	76	4.7k
Zhaoxiang Ye China	29	2.6k 1.5×	520 0.8×	1.7k 2.7×	400 1.6×	544 2.4×	190	3.4k
Felix Nensa Germany	30	1.8k 1.1×	299 0.4×	638 1.0×	255 1.0×	222 1.0×	167	2.9k
Robert Grimm Germany	30	2.6k 1.5×	286 0.4×	582 0.9×	88 0.4×	266 1.2×	148	3.2k
Ulrike Schick France	30	1.8k 1.0×	415 0.6×	1.4k 2.1×	206 0.8×	732 3.2×	189	3.1k
Virendra Kumar India	20	2.7k 1.6×	759 1.1×	1.2k 1.9×	561 2.2×	460 2.0×	83	3.5k
Weijun Peng China	24	1.1k 0.6×	174 0.3×	449 0.7×	186 0.7×	262 1.1×	67	1.5k

Countries citing papers authored by Daniela Origgi

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Origgi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Origgi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Origgi. A scholar is included among the top collaborators of Daniela Origgi 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 Daniela Origgi. Daniela Origgi 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

Nicosia, Luca, Aurora Gaeta, Sara Raimondi, et al.. (2025). Preliminary Evaluation of Radiomics in Contrast-Enhanced Mammography for Prognostic Prediction of Breast Cancer. Cancers. 17(12). 1926–1926.

Bruschi, Giulia, et al.. (2025). Phantom‐based comparative analysis of contrast‐enhanced mammography systems: Image quality and performance evaluation. Journal of Applied Clinical Medical Physics. 26(7). e70163–e70163.

Marco, P. De, et al.. (2025). Effective Dose Estimation in Computed Tomography by Machine Learning. Tomography. 11(1). 2–2.

Marco, P. De, et al.. (2024). Transfer learning classification of suspicious lesions on breast ultrasound: is there room to avoid biopsies of benign lesions?. European Radiology Experimental. 8(1). 121–121. 1 indexed citations

Pesapane, Filippo, Chiara Trentin, Federica Ferrari, et al.. (2023). Deep learning performance for detection and classification of microcalcifications on mammography. European Radiology Experimental. 7(1). 69–69. 15 indexed citations

Nicosia, Luca, Anna Carla Bozzini, Filippo Pesapane, et al.. (2023). Breast Digital Tomosynthesis versus Contrast-Enhanced Mammography: Comparison of Diagnostic Application and Radiation Dose in a Screening Setting. Cancers. 15(9). 2413–2413. 15 indexed citations

Pesapane, Filippo, P. De Marco, Serena Carriero, et al.. (2023). Advancements in Standardizing Radiological Reports: A Comprehensive Review. Medicina. 59(9). 1679–1679. 18 indexed citations

Pesapane, Filippo, P. De Marco, Luca Nicosia, et al.. (2023). How Radiomics Can Improve Breast Cancer Diagnosis and Treatment. Journal of Clinical Medicine. 12(4). 1372–1372. 40 indexed citations

Nicosia, Luca, Filippo Pesapane, Anna Carla Bozzini, et al.. (2023). Prediction of the Malignancy of a Breast Lesion Detected on Breast Ultrasound: Radiomics Applied to Clinical Practice. Cancers. 15(3). 964–964. 8 indexed citations

10.

Rinaldi, Lisa, Simone Pietro De Angelis, Sara Raimondi, et al.. (2022). Reproducibility of radiomic features in CT images of NSCLC patients: an integrative analysis on the impact of acquisition and reconstruction parameters. European Radiology Experimental. 6(1). 2–2. 20 indexed citations

11.

Botta, Francesca, Daniela Origgi, Stefania Rizzo, et al.. (2020). PETER PHAN: An MRI phantom for the optimisation of radiomic studies of the female pelvis. Physica Medica. 71. 71–81. 25 indexed citations

12.

Rizzo, Stefania, Francesca Botta, Sara Raimondi, et al.. (2018). Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months. European Radiology. 28(11). 4849–4859. 104 indexed citations

13.

Pini, S., Daniela Origgi, Antonella Del Vecchio, et al.. (2018). Use of radiation dose index monitoring software in a multicenter environment for CT dose optimization. La radiologia medica. 123(12). 944–951. 9 indexed citations

14.

Rizzo, Stefania, Marco Femia, Davide Radice, et al.. (2017). Evaluation of deep myometrial invasion in endometrial cancer patients: is dual-energy CT an option?. La radiologia medica. 123(1). 13–19. 13 indexed citations

15.

Rampinelli, Cristiano, P. De Marco, Daniela Origgi, et al.. (2017). Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk-benefit analysis. BMJ. 356. j347–j347. 192 indexed citations

16.

Marco, P. De, et al.. (2016). Digital breast tomosynthesis: Dose and image quality assessment. Physica Medica. 33. 56–67. 32 indexed citations

17.

Granata, Claudio, Daniela Origgi, F. Palorini, Domenica Matranga, & Sergio Salerno. (2014). Radiation dose from multidetector CT studies in children: results from the first Italian nationwide survey. Pediatric Radiology. 45(5). 695–705. 39 indexed citations

18.

Origgi, Daniela, S. Vigorito, Gaetano Villa, Massimo Bellomi, & Giampiero Tosi. (2005). Survey of computed tomography techniques and absorbed dose in Italian hospitals: a comparison between two methods to estimate the dose–length product and the effective dose and to verify fulfilment of the diagnostic reference levels. European Radiology. 16(1). 227–237. 29 indexed citations

19.

Sijens, Paul E., Tom den Heijer, Daniela Origgi, et al.. (2003). Brain Changes with Aging: MR Spectroscopy at Supraventricular Plane Shows Differences between Women and Men. Radiology. 226(3). 889–896. 42 indexed citations

20.

Filippi, Massimo, Marco Rovaris, Stefano Bastianello, et al.. (1999). A comparison of the sensitivity of monthly unenhanced and enhanced MRI techniques in detecting new multiple sclerosis lesions. Journal of Neurology. 246(2). 97–106. 9 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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