Michael Ewald

668 total citations
17 papers, 477 citations indexed

About

Michael Ewald is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Michael Ewald has authored 17 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 10 papers in Nature and Landscape Conservation and 9 papers in Ecological Modeling. Recurrent topics in Michael Ewald's work include Species Distribution and Climate Change (9 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Remote Sensing in Agriculture (8 papers). Michael Ewald is often cited by papers focused on Species Distribution and Climate Change (9 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Remote Sensing in Agriculture (8 papers). Michael Ewald collaborates with scholars based in Germany, Italy and France. Michael Ewald's co-authors include Björn Reineking, Marco Heurich, Sebastian Schmidtlein, Hannes Feilhauer, Duccio Rocchini, Jonathan Lenoir, Sandra Skowronek, Olivier Honnay, Ruben Van De Kerchove and Raf Aerts and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Frontiers in Plant Science.

In The Last Decade

Michael Ewald

16 papers receiving 472 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Ewald Germany 12 311 162 161 114 88 17 477
Markus Melin Finland 12 307 1.0× 163 1.0× 115 0.7× 151 1.3× 110 1.3× 38 484
Peter J. Olsoy United States 13 354 1.1× 157 1.0× 100 0.6× 183 1.6× 222 2.5× 25 510
Anne Ghisla Italy 7 224 0.7× 122 0.8× 68 0.4× 96 0.8× 34 0.4× 9 352
Darren S. Le Roux Australia 9 221 0.7× 147 0.9× 66 0.4× 219 1.9× 64 0.7× 12 502
Jomar M. Barbosa Spain 16 297 1.0× 189 1.2× 62 0.4× 136 1.2× 87 1.0× 35 505
Micah Davies Australia 11 286 0.9× 155 1.0× 42 0.3× 125 1.1× 32 0.4× 28 441
Joe Premier Germany 9 340 1.1× 103 0.6× 40 0.2× 101 0.9× 191 2.2× 14 424
Bruno Drolet Canada 10 362 1.2× 161 1.0× 68 0.4× 167 1.5× 34 0.4× 22 464
Sandra Skowronek Germany 9 194 0.6× 128 0.8× 140 0.9× 67 0.6× 43 0.5× 12 326
Annia Susin Streher Brazil 9 278 0.9× 237 1.5× 137 0.9× 178 1.6× 93 1.1× 12 596

Countries citing papers authored by Michael Ewald

Since Specialization
Citations

This map shows the geographic impact of Michael Ewald'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 Ewald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ewald more than expected).

Fields of papers citing papers by Michael Ewald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Ewald. 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 Ewald. The network helps show where Michael Ewald may publish in the future.

Co-authorship network of co-authors of Michael Ewald

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ewald. A scholar is included among the top collaborators of Michael Ewald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Ewald. Michael Ewald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ewald, Michael, et al.. (2024). Unveiling the main drivers of tree decline in Zagros semi-arid forests. Forestry An International Journal of Forest Research. 98(3). 410–425. 1 indexed citations
2.
Ewald, Michael, Marco Conedera, E. Natasha Stavros, & Fabian Ewald Fassnacht. (2024). Forest fires in cool-temperate and humid-continental forests—an overview. Forestry An International Journal of Forest Research. 98(1). 1–5.
3.
Feilhauer, Hannes, Katja Berger, Phuong D. Dao, et al.. (2023). From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data. Remote Sensing of Environment. 292. 113580–113580. 33 indexed citations
4.
Ewald, Michael, et al.. (2023). Leaf litter combustion properties of Central European tree species. Forestry An International Journal of Forest Research. 98(1). 29–39. 5 indexed citations
5.
Ewald, Michael, et al.. (2022). Classifying surface fuel types based on forest stand photographs and satellite time series using deep learning. International Journal of Applied Earth Observation and Geoinformation. 109. 102799–102799. 18 indexed citations
6.
Ewald, Michael, Sandra Skowronek, Raf Aerts, et al.. (2019). Assessing the impact of an invasive bryophyte on plant species richness using high resolution imaging spectroscopy. Ecological Indicators. 110. 105882–105882. 12 indexed citations
7.
Dittrich, Andreas, Ruth Sonnenschein, Cristiana Cerrato, et al.. (2019). Modelling Distributions of Rove Beetles in Mountainous Areas Using Remote Sensing Data. Remote Sensing. 12(1). 80–80. 11 indexed citations
8.
Ewald, Michael, Raf Aerts, Jonathan Lenoir, et al.. (2018). LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy. Remote Sensing of Environment. 211. 13–25. 22 indexed citations
9.
Ewald, Michael, Sandra Skowronek, Raf Aerts, et al.. (2018). Analyzing remotely sensed structural and chemical canopy traits of a forest invaded by Prunus serotina over multiple spatial scales. Biological Invasions. 20(8). 2257–2271. 11 indexed citations
10.
Skowronek, Sandra, Ruben Van De Kerchove, Raf Aerts, et al.. (2018). Transferability of species distribution models for the detection of an invasive alien bryophyte using imaging spectroscopy data. International Journal of Applied Earth Observation and Geoinformation. 68. 61–72. 21 indexed citations
11.
Garzón‐López, Carol X., Tarek Hattab, Sandra Skowronek, et al.. (2018). The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing. SHILAP Revista de lepidopterología. 4. e25301–e25301. 1 indexed citations
12.
Hattab, Tarek, Carol X. Garzón‐López, Michael Ewald, et al.. (2017). A unified framework to model the potential and realized distributions of invasive species within the invaded range. Diversity and Distributions. 23(7). 806–819. 56 indexed citations
13.
Aerts, Raf, Michael Ewald, Manuel Nicolas, et al.. (2017). Invasion by the Alien Tree Prunus serotina Alters Ecosystem Functions in a Temperate Deciduous Forest. Frontiers in Plant Science. 8. 179–179. 82 indexed citations
14.
Skowronek, Sandra, Michael Ewald, Maike Isermann, et al.. (2016). Mapping an invasive bryophyte species using hyperspectral remote sensing data. Biological Invasions. 19(1). 239–254. 60 indexed citations
15.
Bonenfant, Christophe, Björn Reineking, Robert Hable, et al.. (2016). Habitat selection by a large herbivore at multiple spatial and temporal scales is primarily governed by food resources. Ecography. 40(8). 1014–1027. 71 indexed citations
16.
Bae, Soyeon, et al.. (2014). Comparison of airborne lidar, aerial photography, and field surveys to model the habitat suitability of a cryptic forest species – the hazel grouse. International Journal of Remote Sensing. 35(17). 6469–6489. 15 indexed citations
17.

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.

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