Christoph Baur

24 total papers · 1.6k total citations
8 papers, 456 citations indexed

About

Christoph Baur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christoph Baur has authored 8 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christoph Baur's work include Anomaly Detection Techniques and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Medical Image Segmentation Techniques (2 papers). Christoph Baur is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Medical Image Segmentation Techniques (2 papers). Christoph Baur collaborates with scholars based in Germany, United States and Switzerland. Christoph Baur's co-authors include Nassir Navab, Shadi Albarqouni, Vasileios Belagiannis, Stefanie Demirci, Felix Achilles, Benedikt Wiestler, Claus Zimmer, Fausto Milletarì, Pascal Fallavollita and Benedikt Huber and has published in prestigious journals such as IEEE Transactions on Medical Imaging, International Journal of Computer Assisted Radiology and Surgery and Radiology Artificial Intelligence.

In The Last Decade

Christoph Baur

8 papers receiving 440 citations

Hit Papers

AggNet: Deep Learning Fro... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christoph Baur 321 197 143 52 50 8 456
Felix Achilles 312 1.0× 181 0.9× 169 1.2× 50 1.0× 50 1.0× 9 529
Shivam Kalra 334 1.0× 134 0.7× 94 0.7× 22 0.4× 10 0.2× 17 439
Saturnino Vicente-Díaz 152 0.5× 186 0.9× 117 0.8× 13 0.3× 17 0.3× 20 424
Gopal Krishna Nayak 141 0.4× 158 0.8× 213 1.5× 155 3.0× 7 0.1× 20 519
Kim Eun Hee 177 0.6× 197 1.0× 78 0.5× 42 0.8× 3 0.1× 25 480
Ahmet İlhan 137 0.4× 78 0.4× 138 1.0× 137 2.6× 31 0.6× 18 421
Puyang Wang 165 0.5× 196 1.0× 206 1.4× 47 0.9× 7 0.1× 13 455
Yixin Zhang 154 0.5× 127 0.6× 215 1.5× 36 0.7× 7 0.1× 20 552
Amir Mosavi 191 0.6× 100 0.5× 108 0.8× 155 3.0× 4 0.1× 20 480
Chengjia Wang 154 0.5× 164 0.8× 157 1.1× 20 0.4× 3 0.1× 28 531

Countries citing papers authored by Christoph Baur

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Baur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Baur

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Baur. A scholar is included among the top collaborators of Christoph Baur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christoph Baur. Christoph Baur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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