Bernhard Kainz

80 papers and 3.5k indexed citations i.

About

Bernhard Kainz is a scholar working on Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Artificial Intelligence. According to data from OpenAlex, Bernhard Kainz has authored 80 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 26 papers in Pediatrics, Perinatology and Child Health and 24 papers in Artificial Intelligence. Recurrent topics in Bernhard Kainz’s work include Fetal and Pediatric Neurological Disorders (25 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Medical Image Segmentation Techniques (11 papers). Bernhard Kainz is often cited by papers focused on Fetal and Pediatric Neurological Disorders (25 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Medical Image Segmentation Techniques (11 papers). Bernhard Kainz collaborates with scholars based in United Kingdom, Germany and Austria. Bernhard Kainz's co-authors include Daniel Rueckert, Ozan Oktay, Ben Glocker, Mattias P. Heinrich‬, Jo Schlemper, Michiel Schaap, Konstantinos Kamnitsas, Emma C. Robinson, Samuel Budd and Joseph V. Hajnal and has published in prestigious journals such as The Lancet, NeuroImage and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Bernhard Kainz i

Fields of papers citing papers by Bernhard Kainz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Bernhard Kainz

Since Specialization
Citations

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).

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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