Thomas Elgeti

1.6k citations
79 papers · 1.1k · h-index 20

Impact in

Papers in

Thomas Elgeti

76 papers receiving 1.1k citations

Peers

Thomas Elgeti
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 573
  • Cardiology and Cardiovascular Medicine 279
  • Biomedical Engineering 331
  • Internal Medicine 18
  • Pulmonary and Respiratory Medicine 132
Replace Gabe E. Owens with:
Gabe E. Owens United States
Yutaka Tanami Japan
Alfredo Goddi Italy
Esther Pérez David Spain
François T.H. Yu Canada
François Pontana France
Shawn D. Teague United States
Mayil S. Krishnam United States
Thanassis Papaioannou United States
Christian Greis Germany
Thomas Elgeti relative to Gabe E. Owens United States Gabe E. Owens's profile →
Citations per field
00.5×2.7×
Gabe E. Owens · 1×
Citations per year

Countries citing papers authored by Thomas Elgeti

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Elgeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008104
2 200761
3 200560
4 201049
5 200948
6 202141
7 200840
8 200838
9 201438
10 200837
11 201032
12 200832
13 201730
14 201924
15 201124
16 201924
17 201320
18 201219
19 200819
20 201919

About Thomas Elgeti

Thomas Elgeti is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Pulmonary and Respiratory Medicine, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (18 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Elasticity and Material Modeling (7 papers), Advanced X-ray and CT Imaging (5 papers), Advanced MRI Techniques and Applications (5 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Issues in Pregnancy (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (573 citations), Cardiology and Cardiovascular Medicine (279 citations), Biomedical Engineering (331 citations), Internal Medicine (18 citations) and Pulmonary and Respiratory Medicine (132 citations). Thomas Elgeti has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Bernd Hamm, Ingolf Sack, Jürgen Braun, Ingo G. Steffen, Abbas Samani, Jens Rump, Sebastian N. Nagel, Heiko Tzschätzsch, Christian Klessen and Moritz Wagner. Their work appears in journals such as Investigative Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, European Radiology, Magnetic Resonance in Medicine and Scientific Reports.

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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