Patrick Veit

600 citations
14 papers · 433 · h-index 11

Impact in

    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Patrick Veit

14 papers receiving 420 citations

Peers

Patrick Veit
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 280
  • Hepatology 90
  • Reproductive Medicine 53
  • Pulmonary and Respiratory Medicine 157
  • Obstetrics and Gynecology 30
Replace Hiroyuki Horikoshi with:
Hiroyuki Horikoshi Japan
Shewei Dou China
Luke Bonello Italy
Jacqueline Brunetti United States
Jörg Stattaus Germany
R. Tétreau France
Olivier Pellet Austria
Jessica Thomas Australia
T. Kim Japan
Wim Koops Netherlands
Patrick Veit relative to Hiroyuki Horikoshi Japan Hiroyuki Horikoshi's profile →
Citations per field
00.5×2.6×
Hiroyuki Horikoshi · 1×
Citations per year

Countries citing papers authored by Patrick Veit

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200589
2
Assessment of liver tissue after radiofrequency ablation: findings with different imaging procedures.
200566
3
Can PET/CT replace separate diagnostic CT for cancer imaging? Optimizing CT protocols for imaging cancers of the chest and abdomen.
200751
4 200550
5 200542
6 200629
7 200227
8 200522
9 200517
10 200712
11 200610
12 200510
13 20056
14 20112

About Patrick Veit

Patrick Veit is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Surgery and Oncology, having authored 14 papers that have together received 433 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Advanced MRI Techniques and Applications (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Colorectal Cancer Screening and Detection (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (280 citations), Hepatology (90 citations), Reproductive Medicine (53 citations), Pulmonary and Respiratory Medicine (157 citations) and Obstetrics and Gynecology (30 citations). Patrick Veit has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gerald Antoch, Hilmar Kuehl, Andreas Bockisch, Michael Forsting, H Stergar, Andreas Bockisch, Sandra Rosenbaum, Jörg F. Debatin, Lutz S. Freudenberg and Stefan G. Ruehm. Their work appears in journals such as European Journal of Radiology, American Journal of Roentgenology, Investigative Radiology, European Journal of Nuclear Medicine and Molecular Imaging and Heart and Vessels.

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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