Hanna Meyer
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications 7
- Soil Geostatistics and Mapping 7
- Ecological Modeling top 5%
- Species Distribution and Climate Change 6
- Global and Planetary Change top 2%
- Land Use and Ecosystem Services 7
- Ecology top 2%
- Remote Sensing in Agriculture 15
- Atmospheric Science top 5%
- Precipitation Measurement and Analysis 5
- Climate change and permafrost 5
- Remote Sensing and Land Use 5
- Co-authors
- Thomas NaußChristoph ReudenbachEdzer PebesmaMarwan KaturjiTomislav HenglStephan WöllauerJörg BendixTim Appelhans
- Journals
- Remote Sensing (4 papers)International Journal of Applied Earth Observation and Geoinformation (3 papers)Geoscientific model development (3 papers)
- Partner nations
- GermanyNew ZealandSpain
In The Last Decade
Hanna Meyer
46 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Environmental Engineering 716
- Ecological Modeling 151
- Global and Planetary Change 663
- Ecology 707
- Atmospheric Science 370
Countries citing papers authored by Hanna Meyer
This map shows the geographic impact of Hanna Meyer'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 Hanna Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanna Meyer more than expected).
Fields of papers citing papers by Hanna Meyer
This network shows the impact of papers produced by Hanna Meyer. 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 Hanna Meyer. The network helps show where Hanna Meyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanna Meyer, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 36 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 41 | |
| 11 | 2022 | 2 | |
| 12 | Machine learning-based global maps of ecological variables and the challenge of assessing thembreakdown → | 2022 | 144 |
| 13 | 2020 | 10 | |
| 14 | 2020 | 56 | |
| 15 | 2019 | 53 | |
| 16 | How to detect and avoid overfitting in spatio-temporal machine learning applications | 2018 | 2 |
| 17 | 2017 | 13 | |
| 18 | 2017 | 9 | |
| 19 | 2015 | 97 | |
| 20 | Monitoring plant cover on the Tibetan Plateau: A multi-scale remote sensing based approach | 2014 | 2 |
About Hanna Meyer
Hanna Meyer is a scholar working on Ecological Modeling, Environmental Engineering, Global and Planetary Change, Ecology and Atmospheric Science, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Remote Sensing and LiDAR Applications (7 papers), Land Use and Ecosystem Services (7 papers), Soil Geostatistics and Mapping (7 papers), Species Distribution and Climate Change (6 papers), Precipitation Measurement and Analysis (5 papers), Climate change and permafrost (5 papers) and Remote Sensing and Land Use (5 papers). The work is most often cited by research in Environmental Engineering (716 citations), Ecological Modeling (151 citations), Global and Planetary Change (663 citations), Ecology (707 citations) and Atmospheric Science (370 citations). Hanna Meyer has collaborated with scholars based in Germany, New Zealand and Spain. Frequent co-authors include Thomas Nauß, Christoph Reudenbach, Edzer Pebesma, Marwan Katurji, Tomislav Hengl, Stephan Wöllauer, Jörg Bendix, Tim Appelhans, Lukas Lehnert and Thomas Higginbottom. Their work appears in journals such as Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Geoscientific model development, Ecological Indicators and Geoderma.
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.