Thomas Elgeti

1.5k citations
77 papers · 1.1k · h-index 19

Impact in

Papers in

Thomas Elgeti

74 papers receiving 1.1k citations

Peers

Thomas Elgeti
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 656
  • Cardiology and Cardiovascular Medicine 372
  • Biomedical Engineering 423
  • Internal Medicine 27
  • Pulmonary and Respiratory Medicine 187
Replace Kai Uwe Juergens with:
Kai Uwe Juergens Germany
Mayil S. Krishnam United States
Pál Surányi United States
Kunihiro Yoshioka Japan
René Nkoulou Switzerland
Shawn D. Teague United States
Hiroaki Naito Japan
Yutaka Tanami Japan
Anne-Lise Hachulla Switzerland
Tilman Emrich Germany
Thomas Elgeti relative to Kai Uwe Juergens Germany Kai Uwe Juergens's profile →
Citations per field
00.5×7.7×
Kai Uwe Juergens · 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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200897
2 200759
3 200551
4 201045
5 200945
6 202139
7 200836
8 200835
9 201435
10 200834
11 200832
12 201730
13 201028
14 201923
15 201923
16 201122
17 201219
18 201918
19 201318
20 201117

About Thomas Elgeti

Thomas Elgeti is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Pulmonary and Respiratory Medicine and Surgery, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (19 papers), Cardiovascular Function and Risk Factors (13 papers), Elasticity and Material Modeling (13 papers), Advanced MRI Techniques and Applications (12 papers), Cardiac Imaging and Diagnostics (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced X-ray and CT Imaging (7 papers) and Cardiovascular Health and Disease Prevention (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (656 citations), Cardiology and Cardiovascular Medicine (372 citations), Biomedical Engineering (423 citations), Internal Medicine (27 citations) and Pulmonary and Respiratory Medicine (187 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, Antje Beling, Heiko Tzschätzsch and Moritz Wagner. Their work appears in journals such as Investigative Radiology, Magnetic Resonance in Medicine, European Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 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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