Marina Codari

69 papers receiving 2.8k citations

Marina Codari's Hit Papers

AI applications to medical images: From machine learning to deep learning 2021 · 476 citations
4760+2+5Years since publication100200300400500

Peers

Marina Codari
Comparison fields: 5 of 158
  • Health Informatics 522
  • Oral Surgery 546
  • Orthodontics 167
  • Radiology, Nuclear Medicine and Imaging 864
  • Complementary and Manual Therapy 44
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Bulat Ibragimov Denmark
Jan Egger Germany
Won-Jin Yi South Korea
Min-Suk Heo South Korea
Jacob L. Jaremko Canada
Joseph H. Schwab United States
Synho Do United States
Gianpaolo Carrafiello Italy
André Ferreira Leite Brazil
Peter M. A. van Ooijen Netherlands
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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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
Hit paper breakdown →
2018577
2
AI applications to medical images: From machine learning to deep learning
Hit paper breakdown →
2021476
3
Cone beam computed tomography in implant dentistry: recommendations for clinical use
Hit paper breakdown →
2018359
4 2018333
5 201779
6 201960
7 201758
8 201656
9 201649
10 201946
11 201640
12 201837
13 201534
14 202034
15 201533
16 201530
17 201629
18 201928
19 201928
20 201826

About Marina Codari

Marina Codari is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (7 papers), Advanced X-ray and CT Imaging (6 papers), Cardiac Imaging and Diagnostics (5 papers), Dental Radiography and Imaging (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Orthodontics and Dentofacial Orthopedics (4 papers), Facial Rejuvenation and Surgery Techniques (4 papers) and Cleft Lip and Palate Research (4 papers). The work is most often cited by research in Health Informatics (522 citations), Oral Surgery (546 citations), Orthodontics (167 citations), Radiology, Nuclear Medicine and Imaging (864 citations) and Complementary and Manual Therapy (44 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, Bassam Hassan, Michael M. Bornstein, Benjamin Salmon, Andrea Cozzi, Giovanni Di Leo and Matteo Interlenghi. Their work appears in journals such as European Radiology Experimental, Journal of Craniofacial Surgery, British Journal of Oral and Maxillofacial Surgery, Oral Surgery Oral Medicine Oral Pathology and Oral Radiology 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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