Michael Kampffmeyer
Impact in
- Media Technology top 0.5%
- Remote-Sensing Image Classification
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Neural Network Applications 13
- Human Pose and Action Recognition 10
- Generative Adversarial Networks and Image Synthesis 9
- Multimodal Machine Learning Applications 9
-
- Domain Adaptation and Few-Shot Learning 20
- Machine Learning in Healthcare 11
- Co-authors
- Robert Jenssen (62 shared papers)Arnt-Børre Salberg (18 shared papers)Filippo Maria Bianchi (15 shared papers)Kristoffer Wickstrøm (12 shared papers)Qinghui Liu (7 shared papers)Enrico Maiorino (7 shared papers)Antonello Rizzi (6 shared papers)Nanqing Dong (10 shared papers)
- Journals
- Pattern Recognition (5 papers)Medical Image Analysis (3 papers)Applied Soft Computing (3 papers)Neural Networks (3 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)
- Partner nations
- NorwayChinaUnited States
In The Last Decade
Michael Kampffmeyer
93 papers receiving 2.6k citations
Michael Kampffmeyer's Hit Papers
Peers
Comparison fields: 5 of 141
- Media Technology 667
- Computer Vision and Pattern Recognition 994
- Artificial Intelligence 891
- Health Informatics 35
- Signal Processing 186
Countries citing papers authored by Michael Kampffmeyer
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
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.
All Works
Showing the 20 most-cited of 101 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 → | 2016 | 500 |
| 2 | 2017 | 218 | |
| 3 | 2019 | 147 | |
| 4 | 2021 | 145 | |
| 5 | 2022 | 119 | |
| 6 | 2020 | 118 | |
| 7 | 2022 | 100 | |
| 8 | 2022 | 79 | |
| 9 | 2018 | 65 | |
| 10 | 2019 | 59 | |
| 11 | 2018 | 55 | |
| 12 | 2018 | 52 | |
| 13 | 2019 | 49 | |
| 14 | 2023 | 47 | |
| 15 | 2020 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2020 | 38 | |
| 18 | 2022 | 35 | |
| 19 | 2019 | 35 | |
| 20 | 2018 | 34 |
About Michael Kampffmeyer
Michael Kampffmeyer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 101 papers that have together received 2.6k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (20 papers), Advanced Neural Network Applications (13 papers), Machine Learning in Healthcare (11 papers), Human Pose and Action Recognition (10 papers), Generative Adversarial Networks and Image Synthesis (9 papers), COVID-19 diagnosis using AI (9 papers), Multimodal Machine Learning Applications (9 papers) and Time Series Analysis and Forecasting (8 papers). The work is most often cited by research in Media Technology (667 citations), Computer Vision and Pattern Recognition (994 citations), Artificial Intelligence (891 citations), Health Informatics (35 citations) and Signal Processing (186 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, Enrico Maiorino, Antonello Rizzi, Nanqing Dong, Eric P. Xing and Xiaodan Liang. Their work appears in journals such as Pattern Recognition, Medical Image Analysis, Applied Soft Computing, Neural Networks and IEEE Transactions on Geoscience and Remote Sensing.
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.