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 7
- Machine Learning and Data Classification 7
- Gaussian Processes and Bayesian Inference 6
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Joachim Denzler (25 shared papers)Erik Rodner (10 shared papers)Miguel D. Mahecha (9 shared papers)Alexander Freytag (8 shared papers)Markus Reichstein (6 shared papers)Fabian Gans (5 shared papers)Martin Jung (6 shared papers)Flurin Babst (2 shared papers)
- Journals
- Earth System Dynamics (2 papers)Lecture notes in computer science (10 papers)International Journal of Computer Vision (1 paper)PLoS ONE (1 paper)Mammalian Biology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Paul Bodesheim
32 papers receiving 589 citations
Peers
Comparison fields: 5 of 84
- Global and Planetary Change 235
- Ecological Modeling 33
- Atmospheric Science 110
- Artificial Intelligence 203
- Nature and Landscape Conservation 66
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 105 | |
| 2 | 2013 | 77 | |
| 3 | 2017 | 74 | |
| 4 | 2020 | 72 | |
| 5 | 2015 | 35 | |
| 6 | 2017 | 34 | |
| 7 | 2015 | 30 | |
| 8 | 2013 | 23 | |
| 9 | 2016 | 19 | |
| 10 | 2012 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2013 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2014 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2023 | 4 |
About Paul Bodesheim
Paul Bodesheim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Global and Planetary Change, Ecology and Environmental Engineering, having authored 34 papers that have together received 600 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Machine Learning and Data Classification (7 papers), Gaussian Processes and Bayesian Inference (6 papers), Remote Sensing in Agriculture (5 papers), Plant Water Relations and Carbon Dynamics (4 papers), Climate variability and models (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). The work is most often cited by research in Global and Planetary Change (235 citations), Ecological Modeling (33 citations), Atmospheric Science (110 citations), Artificial Intelligence (203 citations) and Nature and Landscape Conservation (66 citations). Paul Bodesheim has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Joachim Denzler, Erik Rodner, Miguel D. Mahecha, Alexander Freytag, Markus Reichstein, Fabian Gans, Martin Jung, Flurin Babst, David Frank and Michael Kemmler. Their work appears in journals such as Earth System Dynamics, Lecture notes in computer science, International Journal of Computer Vision, PLoS ONE and Mammalian Biology.
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.