Michael Kampffmeyer

68 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 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Kampffmeyer’s work include Domain Adaptation and Few-Shot Learning (15 papers), Advanced Neural Network Applications (10 papers) and Machine Learning in Healthcare (8 papers). Michael Kampffmeyer is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Advanced Neural Network Applications (10 papers) and Machine Learning in Healthcare (8 papers). Michael Kampffmeyer collaborates with scholars based in Norway, United States and China. Michael Kampffmeyer's co-authors include Robert Jenssen, Arnt-Børre Salberg, Xiaodan Liang, Filippo Maria Bianchi and Qinghui Liu and has published in prestigious journals such as PLoS ONE, Physical Chemistry Chemical Physics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Michael Kampffmeyer

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Michael Kampffmeyer. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025