Michael Kampffmeyer

70 papers and 1.4k indexed citations i.

About

Michael Kampffmeyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Kampffmeyer has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Kampffmeyer’s work include Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (10 papers) and COVID-19 diagnosis using AI (8 papers). Michael Kampffmeyer is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (10 papers) and COVID-19 diagnosis using AI (8 papers). Michael Kampffmeyer collaborates with scholars based in Norway, United States and China. Michael Kampffmeyer's co-authors include Robert Jenssen, Filippo Maria Bianchi, Arnt-Børre Salberg, Kristoffer Wickstrøm, Xiaodan Liang, Eric P. Xing, Qinghui Liu, Yujia Zhang, Enrico Maiorino and Antonello Rizzi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Physical Chemistry Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Michael Kampffmeyer i

Fields of papers citing papers by Michael Kampffmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Kampffmeyer

Since Specialization
Citations

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