Thomas Grubinger
Impact in
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
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- Acute Myocardial Infarction Research
Papers in ⓘ
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- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and ELM 2
- Anomaly Detection Techniques and Applications 2
- Surgery 3
- Co-authors
- Thomas Natschläger (6 shared papers)Karl-Peter Pfeiffer (1 shared paper)Achim Zeileis (1 shared paper)Georgios C. Chasparis (2 shared papers)Werner Zellinger (2 shared papers)Edwin Lughofer (2 shared papers)Susanne Saminger‐Platz (2 shared papers)Bernhard Moser (1 shared paper)
- Journals
- Information Sciences (1 paper)Energy and Buildings (1 paper)SAE International journal of commercial vehicles (1 paper)International Journal of Cardiology (1 paper)Annals of Nuclear Medicine (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Thomas Grubinger
15 papers receiving 423 citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 132
- Cardiology and Cardiovascular Medicine 65
- Pathology and Forensic Medicine 51
- Building and Construction 36
- Management Science and Operations Research 30
Countries citing papers authored by Thomas Grubinger
This map shows the geographic impact of Thomas Grubinger'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 Grubinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Grubinger more than expected).
Fields of papers citing papers by Thomas Grubinger
This network shows the impact of papers produced by Thomas Grubinger. 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 Grubinger. The network helps show where Thomas Grubinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Grubinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 93 | |
| 2 | 2009 | 71 | |
| 3 | 2019 | 68 | |
| 4 | 2017 | 55 | |
| 5 | 2010 | 47 | |
| 6 | 2017 | 23 | |
| 7 | 2010 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2018 | 16 | |
| 10 | 2012 | 9 | |
| 11 | 2016 | 7 | |
| 12 | 2013 | 4 | |
| 13 | 2017 | 2 | |
| 14 | 2009 | 2 | |
| 15 | 2012 | 1 |
About Thomas Grubinger
Thomas Grubinger is a scholar working on Artificial Intelligence, Surgery, Pathology and Forensic Medicine, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 437 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Building Energy and Comfort Optimization (2 papers), Machine Learning and ELM (2 papers), Cardiac Imaging and Diagnostics (2 papers), Time Series Analysis and Forecasting (2 papers), Air Quality Monitoring and Forecasting (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Artificial Intelligence (132 citations), Cardiology and Cardiovascular Medicine (65 citations), Pathology and Forensic Medicine (51 citations), Building and Construction (36 citations) and Management Science and Operations Research (30 citations). Thomas Grubinger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Thomas Natschläger, Karl-Peter Pfeiffer, Achim Zeileis, Georgios C. Chasparis, Werner Zellinger, Edwin Lughofer, Susanne Saminger‐Platz, Bernhard Moser, Conrad Kobel and Johannes Mair. Their work appears in journals such as Information Sciences, Energy and Buildings, SAE International journal of commercial vehicles, International Journal of Cardiology and Annals of Nuclear 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.