Magda Marcon

2.0k citations
63 papers · 1.5k · h-index 20

Impact in

Papers in

Magda Marcon

60 papers receiving 1.5k citations

Peers

Magda Marcon
Comparison fields: 5 of 103
  • Health Informatics 79
  • Radiology, Nuclear Medicine and Imaging 627
  • Artificial Intelligence 437
  • Pathology and Forensic Medicine 120
  • Pulmonary and Respiratory Medicine 201
Replace Sachin Jambawalikar with:
Sachin Jambawalikar United States
Laura Heacock United States
Daniela Origgi Italy
Marie A. Ganott United States
Varut Vardhanabhuti Hong Kong
Weijun Peng China
Sven Zuehlsdorff United States
Musib Siddique United Kingdom
Ida Häggström Sweden
Sonia Skamene Canada
Magda Marcon relative to Sachin Jambawalikar United States Sachin Jambawalikar's profile →
Citations per field
00.5×5.5×
Sachin Jambawalikar · 1×
Citations per year

Countries citing papers authored by Magda Marcon

Since Specialization
Citations

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

Fields of papers citing papers by Magda Marcon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Magda Marcon, 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 Magda Marcon Line = papers co-authored together Magda Marcon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017274
2 2015208
3 2017124
4 201997
5 201950
6 201847
7 201946
8 201738
9 201837
10 201532
11 201731
12 201431
13 201431
14 201630
15 201729
16 202229
17 201928
18 202023
19 201822
20 201920

About Magda Marcon

Magda Marcon is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Oncology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (7 papers), MRI in cancer diagnosis (6 papers), Breast Lesions and Carcinomas (6 papers), Advanced MRI Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Breast Cancer Treatment Studies (3 papers) and Knee injuries and reconstruction techniques (3 papers). The work is most often cited by research in Health Informatics (79 citations), Radiology, Nuclear Medicine and Imaging (627 citations), Artificial Intelligence (437 citations), Pathology and Forensic Medicine (120 citations) and Pulmonary and Respiratory Medicine (201 citations). Magda Marcon has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Andreas Boss, Anton S. Becker, Soleen Ghafoor, Thomas Frauenfelder, Moritz C. Wurnig, Michael A. Fischer, Erika J. Ulbrich, Nicole Berger, Daniel Nanz and Alexander Ciritsis. Their work appears in journals such as European Radiology, Investigative Radiology, European Journal of Radiology, Skeletal Radiology and Medicine.

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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