Benjamin Bischke
- Media Technology top 0.5%
- Remote-Sensing Image Classification 9
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 5
- Environmental Engineering top 5%
- Atmospheric Science top 10%
- Remote Sensing and Land Use 4
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- Remote Sensing in Agriculture 7
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- Flood Risk Assessment and Management 4
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- Automated Road and Building Extraction 3
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- Smart Agriculture and AI 3
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- Indoor and Outdoor Localization Technologies 2
- Co-authors
- Patrick HelberDamian BorthAndreas DengelJens WeppnerPaul LukowiczMarc RußwurmTim G. J. RudnerPiotr Biliński
- Journals
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)Earth system science data (1 paper)Remote Sensing of Environment (1 paper)
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Benjamin Bischke
25 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Media Technology 533
- Computer Vision and Pattern Recognition 561
- Artificial Intelligence 546
- Environmental Engineering 164
- Atmospheric Science 205
Countries citing papers authored by Benjamin Bischke
This map shows the geographic impact of Benjamin Bischke'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 Benjamin Bischke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Bischke more than expected).
Fields of papers citing papers by Benjamin Bischke
This network shows the impact of papers produced by Benjamin Bischke. 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 Benjamin Bischke. The network helps show where Benjamin Bischke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin Bischke, 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 | 2024 | 0 | |
| 2 | 2024 | 21 | |
| 3 | 2023 | 36 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 3 | |
| 8 | Flood Severity Estimation from Online News Images and Multi-Temporal Satellite Images Using Deep Neural Networks. | 2019 | 1 |
| 9 | 2019 | 7 | |
| 10 | 2019 | 73 | |
| 11 | 2019 | 2 | |
| 12 | Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia. | 2018 | 4 |
| 13 | 2018 | 17 | |
| 14 | 2018 | 0 | |
| 15 | The Multimedia Satellite Task at MediaEval 2018: Emergency Response for Flooding Events | 2018 | 24 |
| 16 | The Multimedia Satellite Task at MediaEval 2017 | 2017 | 7 |
| 17 | Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. | 2017 | 39 |
| 18 | The Multimedia Satellite Task at MediaEval 2017 | 2017 | 9 |
| 19 | 2016 | 40 | |
| 20 | 2016 | 33 |
About Benjamin Bischke
Benjamin Bischke is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Transportation, Environmental Engineering and Ecology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (9 papers), Remote Sensing in Agriculture (7 papers), Anomaly Detection Techniques and Applications (5 papers), Flood Risk Assessment and Management (4 papers), Remote Sensing and Land Use (4 papers), Automated Road and Building Extraction (3 papers), Smart Agriculture and AI (3 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Media Technology (533 citations), Computer Vision and Pattern Recognition (561 citations), Artificial Intelligence (546 citations), Environmental Engineering (164 citations) and Atmospheric Science (205 citations). Benjamin Bischke has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Patrick Helber, Damian Borth, Andreas Dengel, Jens Weppner, Paul Lukowicz, Marc Rußwurm, Tim G. J. Rudner, Piotr Biliński, Veronika Kopačková and Ramona Pelich. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Earth system science data, Remote Sensing of Environment, MediaEval and Proceedings of the AAAI Conference on Artificial Intelligence.
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.