Michael Kopp
Impact in
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- Landslides and related hazards
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Neural Networks and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 1
- Advanced Graph Neural Networks 1
- Metaheuristic Optimization Algorithms Research 1
- Co-authors
- Pedram Ghamisi (5 shared papers)David Philip Kreil (7 shared papers)Yonghao Xu (2 shared papers)Omid Ghorbanzadeh (1 shared paper)Sepp Hochreiter (8 shared papers)Michael Sprague (1 shared paper)Günter Klambauer (2 shared papers)J. Brandstetter (2 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (3 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Image Processing (1 paper)Nature Machine Intelligence (1 paper)Archiv der Mathematik (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Michael Kopp
13 papers receiving 435 citations
Peers
Comparison fields: 5 of 84
- Management, Monitoring, Policy and Law 107
- Artificial Intelligence 207
- Media Technology 40
- Computer Science Applications 23
- Computer Vision and Pattern Recognition 66
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 | 2022 | 132 | |
| 2 | 2019 | 104 | |
| 3 | Hopfield Networks is All You Need | 2021 | 85 |
| 4 | 2023 | 48 | |
| 5 | 2023 | 38 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2024 | 4 | |
| 12 | Traffic4cast at NeurIPS 2020 - yet more on the unreasonable effectiveness of gridded geo-spatial processes | 2021 | 3 |
| 13 | Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. | 2020 | 1 |
| 14 | 2004 | 1 | |
| 15 | 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 |
| 16 | 1984 | 0 |
About Michael Kopp
Michael Kopp is a scholar working on Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science and Global and Planetary Change, having authored 16 papers that have together received 454 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (2 papers), Machine Learning in Bioinformatics (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Remote Sensing and Land Use (1 paper), Traffic Prediction and Management Techniques (1 paper), Advanced Graph Neural Networks (1 paper), VLSI and Analog Circuit Testing (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (107 citations), Artificial Intelligence (207 citations), Media Technology (40 citations), Computer Science Applications (23 citations) and Computer Vision and Pattern Recognition (66 citations). Michael Kopp has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Pedram Ghamisi, David Philip Kreil, Yonghao Xu, Omid Ghorbanzadeh, Sepp Hochreiter, Michael Sprague, Günter Klambauer, J. Brandstetter, Weikang Yu and Hubert Ramsauer. 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.