Paul Bodesheim
Impact in
- Global and Planetary Change top 10%
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Atmospheric and Environmental Gas Dynamics
- Ecological Modeling top 10%
Papers in
-
- Anomaly Detection Techniques and Applications 6
- Gaussian Processes and Bayesian Inference 4
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Data Classification 3
-
- Atmospheric and Environmental Gas Dynamics 4
- Climate variability and models 4
- Plant Water Relations and Carbon Dynamics 4
- Co-authors
- Miguel D. Mahecha (9 shared papers)Joachim Denzler (16 shared papers)Erik Rodner (7 shared papers)Fabian Gans (5 shared papers)Markus Reichstein (6 shared papers)Alexander Freytag (5 shared papers)Martin Jung (6 shared papers)David Frank (2 shared papers)
- Journals
- Earth System Dynamics (2 papers)PLoS ONE (1 paper)Mammalian Biology (1 paper)Ecological Informatics (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Paul Bodesheim
22 papers receiving 468 citations
Peers
Comparison fields: 5 of 81
- Global and Planetary Change 228
- Ecological Modeling 29
- Atmospheric Science 102
- Nature and Landscape Conservation 63
- Artificial Intelligence 132
Countries citing papers authored by Paul Bodesheim
This map shows the geographic impact of Paul Bodesheim'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 Paul Bodesheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Bodesheim more than expected).
Fields of papers citing papers by Paul Bodesheim
This network shows the impact of papers produced by Paul Bodesheim. 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 Paul Bodesheim. The network helps show where Paul Bodesheim may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Bodesheim, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 102 | |
| 2 | 2017 | 70 | |
| 3 | 2013 | 67 | |
| 4 | 2020 | 65 | |
| 5 | 2017 | 32 | |
| 6 | 2015 | 30 | |
| 7 | 2015 | 24 | |
| 8 | 2016 | 19 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2021 | 2 | |
| 20 | Potential of new machine learning methods for understanding long-term interannual variability of carbon and energy fluxes and states from site to global scale | 2016 | 1 |
About Paul Bodesheim
Paul Bodesheim is a scholar working on Artificial Intelligence, Global and Planetary Change, Computer Vision and Pattern Recognition, Ecology and Nature and Landscape Conservation, having authored 24 papers that have together received 474 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Atmospheric and Environmental Gas Dynamics (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Climate variability and models (4 papers), Remote Sensing in Agriculture (4 papers), Plant Water Relations and Carbon Dynamics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Global and Planetary Change (228 citations), Ecological Modeling (29 citations), Atmospheric Science (102 citations), Nature and Landscape Conservation (63 citations) and Artificial Intelligence (132 citations). Paul Bodesheim has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Miguel D. Mahecha, Joachim Denzler, Erik Rodner, Fabian Gans, Markus Reichstein, Alexander Freytag, Martin Jung, David Frank, Flurin Babst and Benjamin Poulter. Their work appears in journals such as Earth System Dynamics, PLoS ONE, Mammalian Biology, Ecological Informatics and International Journal of Computer Vision.
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.