Countries citing scholars working at Munich Center for Machine Learning
Since Specialization
Citations
This map shows the geographic impact of research produced by authors working at Munich Center for Machine Learning. 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 papers produced at Munich Center for Machine Learning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munich Center for Machine Learning more than expected).
Fields of papers published by authors at Munich Center for Machine Learning
This network shows the impact of papers affiliated with Munich Center for Machine Learning at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Munich Center for Machine Learning at the time of their publication.
About Munich Center for Machine Learning
In recent decades, authors affiliated with Munich Center for Machine Learning have published 786 papers, which have received a total of 6.7k indexed citations . Scholars at this organization have produced 22 papers in Health Informatics, 292 papers in Artificial Intelligence, 160 papers in Computer Vision and Pattern Recognition, 26 papers in Human-Computer Interaction and 42 papers in Safety Research on the topics of Topic Modeling (66 papers), Natural Language Processing Techniques (50 papers), Explainable Artificial Intelligence (XAI) (49 papers), Ethics and Social Impacts of AI (42 papers), Medical Image Segmentation Techniques (42 papers), Multimodal Machine Learning Applications (33 papers), Advanced Neural Network Applications (28 papers) and 3D Shape Modeling and Analysis (25 papers). Their work is cited by papers focused on Health Informatics (499 citations), Artificial Intelligence (1.6k citations), Computer Vision and Pattern Recognition (939 citations), Media Technology (243 citations) and Safety Research (286 citations). Authors at Munich Center for Machine Learning collaborate with scholars in Germany, United Kingdom and United States and have published in prestigious journals including Lecture notes in computer science, Proceedings of the ACM on Human-Computer Interaction, Medical Image Analysis, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing. Some of Munich Center for Machine Learning's most productive authors include Stefan Feuerriegel, Jochen Hartmann, Patrick Zschech, Christian Janiesch, Bernd Bischl, Xiao Xiang Zhu, Barbara Plank, Anne‐Laure Boulesteix, Reinhard Heckel and Janek Thomas.
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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