Marina Codari

67 papers receiving 2.5k citations

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AI applications to medical images: From machine learning to deep learning 2021 · 412 citations
4122018202620202023100200300400

Peers

Marina Codari
Comparison fields: 5 of 162
  • Health Informatics 476
  • Oral Surgery 636
  • Orthodontics 275
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Complementary and Manual Therapy 53
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Bulat Ibragimov Denmark
Won-Jin Yi South Korea
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Countries citing papers authored by Marina Codari

Since Specialization
Citations

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

Fields of papers citing papers by Marina Codari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marina Codari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marina Codari Line = papers co-authored together Marina Codari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018484
2
AI applications to medical images: From machine learning to deep learning
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2021412
3
Cone beam computed tomography in implant dentistry: recommendations for clinical use
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2018337
4 2018286
5 201777
6 201957
7 201653
8 201748
9 201645
10 201943
11 201640
12 201837
13 201532
14 201531
15 201530
16 201629
17 202028
18 201928
19 201927
20 201825

About Marina Codari

Marina Codari is a scholar working on Health Informatics, Orthodontics, Oral Surgery, Complementary and Manual Therapy and Radiology, Nuclear Medicine and Imaging, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Dental Radiography and Imaging (10 papers), Advanced X-ray and CT Imaging (8 papers), Cardiac Imaging and Diagnostics (7 papers), Orthodontics and Dentofacial Orthopedics (7 papers), Aortic Disease and Treatment Approaches (6 papers), Craniofacial Disorders and Treatments (5 papers), Facial Rejuvenation and Surgery Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Health Informatics (476 citations), Oral Surgery (636 citations), Orthodontics (275 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Complementary and Manual Therapy (53 citations). Marina Codari has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesco Sardanelli, Filippo Pesapane, Reinhilde Jacobs, Chiarella Sforza, Benjamin Salmon, Michael M. Bornstein, Bassam Hassan, Andrea Cozzi, Giovanni Di Leo and Natascha Claudia D’Amico. Their work appears in journals such as European Radiology Experimental, British Journal of Oral and Maxillofacial Surgery, Oral Surgery Oral Medicine Oral Pathology and Oral Radiology, Journal of Craniofacial Surgery and NeuroImage Clinical.

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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