Michael Kopp
Impact in
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- Landslides and related hazards
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
- Co-authors
- Pedram Ghamisi (5 shared papers)David P. Kreil (5 shared papers)Yonghao Xu (2 shared papers)Omid Ghorbanzadeh (1 shared paper)Sepp Hochreiter (6 shared papers)Michael Widrich (1 shared paper)Weikang Yu (1 shared paper)Lukas Gruber (1 shared paper)
In The Last Decade
Michael Kopp
12 papers receiving 281 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Management, Monitoring, Policy and Law 94
- Media Technology 37
- Artificial Intelligence 105
- Computer Vision and Pattern Recognition 61
- Global and Planetary Change 58
Countries citing papers authored by Michael Kopp
This map shows the geographic impact of Michael Kopp'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 Kopp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kopp more than expected).
Fields of papers citing papers by Michael Kopp
This network shows the impact of papers produced by Michael Kopp. 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 Kopp. The network helps show where Michael Kopp may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Kopp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection Hit paper breakdown → | 2022 | 115 |
| 2 | Hopfield Networks is All You Need | 2021 | 77 |
| 3 | 2023 | 36 | |
| 4 | 2023 | 32 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 5 | |
| 9 | 2024 | 3 | |
| 10 | Traffic4cast at NeurIPS 2020 - yet more on the unreasonable effectiveness of gridded geo-spatial processes | 2021 | 3 |
| 11 | 2004 | 1 | |
| 12 | 2024 | 1 | |
| 13 | Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. | 2020 | 1 |
| 14 | The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. | 2019 | 0 |
About Michael Kopp
Michael Kopp is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science, having authored 14 papers that have together received 293 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (2 papers), Advanced Chemical Sensor Technologies (1 paper), Complex Network Analysis Techniques (1 paper), Remote-Sensing Image Classification (1 paper), Time Series Analysis and Forecasting (1 paper), Automated Road and Building Extraction (1 paper), Remote Sensing and Land Use (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (94 citations), Media Technology (37 citations), Artificial Intelligence (105 citations), Computer Vision and Pattern Recognition (61 citations) and Global and Planetary Change (58 citations). Michael Kopp has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include Pedram Ghamisi, David P. Kreil, Yonghao Xu, Omid Ghorbanzadeh, Sepp Hochreiter, Michael Widrich, Weikang Yu, Lukas Gruber, Günter Klambauer and Johannes M. Lehner. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Image Processing, Nature Machine Intelligence and Archiv der Mathematik.
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.