Bernhard Kainz
Impact in
- Health Informatics top 0.5%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Artificial Intelligence in Healthcare and Education 10
-
- Computer Graphics and Visualization Techniques 14
- Co-authors
- Daniel RueckertOzan OktayBen GlockerMattias P. HeinrichJo SchlemperMichiel SchaapEmma C. RobinsonSamuel Budd
- Journals
- IEEE Transactions on Medical Imaging (11 papers)Medical Image Analysis (6 papers)Computer Graphics Forum (5 papers)IEEE Transactions on Visualization and Computer Graphics (3 papers)Prenatal Diagnosis (3 papers)
- Partner nations
- United KingdomGermanyAustria
In The Last Decade
Bernhard Kainz
82 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Health Informatics 173
- Computer Vision and Pattern Recognition 1.5k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Artificial Intelligence 1.1k
- Computer Graphics and Computer-Aided Design 114
Countries citing papers authored by Bernhard Kainz
This map shows the geographic impact of Bernhard Kainz'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 Bernhard Kainz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Kainz more than expected).
Fields of papers citing papers by Bernhard Kainz
This network shows the impact of papers produced by Bernhard Kainz. 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 Bernhard Kainz. The network helps show where Bernhard Kainz may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Kainz, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 24 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 46 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 83 | |
| 15 | Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation Hit paper breakdown → | 2017 | 438 |
| 16 | Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. | 2016 | 3 |
| 17 | 2014 | 60 | |
| 18 | 2009 | 1 | |
| 19 | 2008 | 11 | |
| 20 | Mr. vector field measurement and visualization of normal and pathological time-resolved three-dimensional cardiovascular blood flow patterns | 2007 | 3 |
About Bernhard Kainz
Bernhard Kainz is a scholar working on Health Informatics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 91 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (26 papers), Computer Graphics and Visualization Techniques (14 papers), Domain Adaptation and Few-Shot Learning (13 papers), Advanced Vision and Imaging (11 papers), Artificial Intelligence in Healthcare and Education (10 papers), Congenital Heart Disease Studies (9 papers), 3D Shape Modeling and Analysis (9 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Health Informatics (173 citations), Computer Vision and Pattern Recognition (1.5k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Artificial Intelligence (1.1k citations) and Computer Graphics and Computer-Aided Design (114 citations). Bernhard Kainz has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Daniel Rueckert, Ozan Oktay, Ben Glocker, Mattias P. Heinrich, Jo Schlemper, Michiel Schaap, Emma C. Robinson, Samuel Budd, Konstantinos Kamnitsas and Joseph V. Hajnal. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics and Prenatal Diagnosis.
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.