Michael Kampffmeyer

3.8k citations
78 papers · 2.1k · 1 hit paper · h-index 22

Impact in

Papers in

    • Domain Adaptation and Few-Shot Learning 14
    • Machine Learning in Healthcare 8
    • Advanced Neural Network Applications 10
    • Human Pose and Action Recognition 9
    • Multimodal Machine Learning Applications 9
    • Generative Adversarial Networks and Image Synthesis 8

Michael Kampffmeyer

72 papers receiving 2.0k citations

Michael Kampffmeyer's Hit Papers

Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks 2016 · 449 citations
4490+3+6Years since publication100200300400

Peers

Michael Kampffmeyer
Comparison fields: 5 of 122
  • Media Technology 611
  • Computer Vision and Pattern Recognition 801
  • Artificial Intelligence 657
  • Health Informatics 26
  • Signal Processing 144
Replace Xue Yang with:
Xue Yang China
Haikel Alhichri Saudi Arabia
Selim Aksoy Türkiye
Jakub Nalepa Poland
Robert Jenssen Norway
Kai Hu China
Zhuliang Yao China
Zhenda Xie China
Krishna Kant Singh India
Michael Kampffmeyer relative to Xue Yang China Xue Yang's profile →
Citations per field
00.5×1.5×2.3×
Xue Yang · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Michael Kampffmeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Kampffmeyer Line = papers co-authored together Michael Kampffmeyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks
Hit paper breakdown →
2016449
2 2017186
3 2021135
4 2019121
5 2020113
6 2022107
7 202271
8 202261
9 201956
10 201851
11 201846
12 201942
13 202341
14 202038
15 202037
16 202031
17 201928
18 201928
19 202226
20 201825

About Michael Kampffmeyer

Michael Kampffmeyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (14 papers), Advanced Neural Network Applications (10 papers), Human Pose and Action Recognition (9 papers), Multimodal Machine Learning Applications (9 papers), Remote-Sensing Image Classification (8 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Machine Learning in Healthcare (8 papers) and COVID-19 diagnosis using AI (7 papers). The work is most often cited by research in Media Technology (611 citations), Computer Vision and Pattern Recognition (801 citations), Artificial Intelligence (657 citations), Health Informatics (26 citations) and Signal Processing (144 citations). Michael Kampffmeyer has collaborated with scholars based in Norway, China and United States. Frequent co-authors include Robert Jenssen, Arnt-Børre Salberg, Filippo Maria Bianchi, Kristoffer Wickstrøm, Qinghui Liu, Antonello Rizzi, Enrico Maiorino, Stian Normann Anfinsen, Gabriele Moser and Luigi Tommaso Luppino. Their work appears in journals such as Pattern Recognition, Medical Image Analysis, Neural Networks, IEEE Transactions on Geoscience and Remote Sensing and Applied Soft Computing.

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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