Gerold Porenta

3.8k citations
66 papers · 2.7k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Gerold Porenta

62 papers receiving 2.6k citations

Hit Papers

Predictors of Outcome in Severe, Asymptomatic Aortic Stenosis 2000 · 898 citations
8982000202620082017250500750

Peers

Gerold Porenta
Comparison fields: 5 of 129
  • Cardiology and Cardiovascular Medicine 1.8k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Epidemiology 536
  • Pulmonary and Respiratory Medicine 389
  • Surgery 514
Replace David T. Linker with:
David T. Linker United States
Vicente Bodı́ Spain
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Ross A. Davies Canada
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Geu‐Ru Hong South Korea
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Gerold Porenta relative to David T. Linker United States David T. Linker's profile →
Citations per field
00.5×1.7×
David T. Linker · 1×
Citations per year

Countries citing papers authored by Gerold Porenta

Since Specialization
Citations

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

Fields of papers citing papers by Gerold Porenta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201912
2 200768
3 20075
4 200517
5 20031
6 20031
7 20022
8 200083
9
Predictors of Outcome in Severe, Asymptomatic Aortic Stenosis
Hit paper breakdown →
2000898
10 199950
11 199888
12 199744
13 199617
14
[Thallium scintigraphy of the myocardium. Uniform research protocols of the Austrian Society for Nuclear Medicine].
19951
15 199529
16 199431
17 1992121
18 199277
19 19911
20 19911

About Gerold Porenta

Gerold Porenta is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Cardiology and Cardiovascular Medicine, Pharmacy and Radiation, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (33 papers), Medical Imaging Techniques and Applications (17 papers), Advanced MRI Techniques and Applications (13 papers), Cardiovascular Function and Risk Factors (12 papers), Cardiac Valve Diseases and Treatments (10 papers), Coronary Interventions and Diagnostics (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Epidemiology (536 citations), Pulmonary and Respiratory Medicine (389 citations) and Surgery (514 citations). Gerold Porenta has collaborated with scholars based in Austria, United States and Poland. Frequent co-authors include Gerald Maurer, Thomas Binder, Raphaël Rosenhek, Helmut Baumgartner, Iréne Lang, M. Schemper, G Christ, Richard C. Brunken, M. E. Phelps and Janine Krivokapich. Their work appears in journals such as Journal of the American College of Cardiology, Artificial Intelligence in Medicine, Circulation, Ultrasound in Medicine & Biology and European Journal of Nuclear Medicine and Molecular Imaging.

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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