Christian Ledig

39 papers and 10.1k indexed citations i.

About

Christian Ledig is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Christian Ledig has authored 39 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Christian Ledig’s work include Medical Image Segmentation Techniques (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Dementia and Cognitive Impairment Research (7 papers). Christian Ledig is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Dementia and Cognitive Impairment Research (7 papers). Christian Ledig collaborates with scholars based in United Kingdom, Finland and Sweden. Christian Ledig's co-authors include Wenzhe Shi, José Caballero, Zehan Wang, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Andrew Cunningham, Ferenc Huszár, Alykhan Tejani and Lucas Theis and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Christian Ledig i

Fields of papers citing papers by Christian Ledig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christian Ledig

Since Specialization
Citations

This map shows the geographic impact of Christian Ledig'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 Christian Ledig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Ledig 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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2025