Michael Rzanny

1.9k total citations
32 papers, 928 citations indexed

About

Michael Rzanny is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Ecology. According to data from OpenAlex, Michael Rzanny has authored 32 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, Evolution, Behavior and Systematics, 14 papers in Ecological Modeling and 12 papers in Ecology. Recurrent topics in Michael Rzanny's work include Plant and animal studies (16 papers), Species Distribution and Climate Change (14 papers) and Ecology and Vegetation Dynamics Studies (10 papers). Michael Rzanny is often cited by papers focused on Plant and animal studies (16 papers), Species Distribution and Climate Change (14 papers) and Ecology and Vegetation Dynamics Studies (10 papers). Michael Rzanny collaborates with scholars based in Germany, South Africa and Belgium. Michael Rzanny's co-authors include Jana Wäldchen, Patrick Mäder, Marco Seeland, Winfried Voigt, David Boho, Hans Christian Wittich, Annely Kuu, Wolfgang W. Weisser, Sebastian T. Meyer and Nico Eisenhauer and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael Rzanny

31 papers receiving 888 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 Rzanny Germany 17 335 283 282 267 184 32 928
Jana Wäldchen Germany 19 600 1.8× 505 1.8× 318 1.1× 424 1.6× 176 1.0× 40 1.6k
Gil Nelson United States 12 212 0.6× 266 0.9× 369 1.3× 528 2.0× 218 1.2× 27 913
Hervé Goëau France 12 630 1.9× 282 1.0× 176 0.6× 277 1.0× 63 0.3× 44 1.0k
Branko Šikoparija Serbia 28 373 1.1× 297 1.0× 870 3.1× 261 1.0× 131 0.7× 74 2.1k
Luís Carlos Bernacci Brazil 21 453 1.4× 288 1.0× 396 1.4× 102 0.4× 479 2.6× 55 1.3k
Vanderlei Perez Canhos Brazil 12 206 0.6× 179 0.6× 114 0.4× 245 0.9× 104 0.6× 27 752
Bruna Alberton Brazil 15 204 0.6× 452 1.6× 341 1.2× 336 1.3× 230 1.3× 29 855
Luciano Di Martino Italy 13 173 0.5× 127 0.4× 164 0.6× 96 0.4× 123 0.7× 47 536
Ramona Walls United States 17 257 0.8× 287 1.0× 210 0.7× 221 0.8× 165 0.9× 62 1.1k
Jorge Orestes Cerdeira Portugal 20 107 0.3× 474 1.7× 126 0.4× 317 1.2× 428 2.3× 50 1.3k

Countries citing papers authored by Michael Rzanny

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rzanny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Rzanny

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Rzanny. A scholar is included among the top collaborators of Michael Rzanny 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 Rzanny. Michael Rzanny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rzanny, Michael, Patrick Mäder, David Boho, et al.. (2025). Expanding phenological insights: automated phenostage annotation with community science plant images. International Journal of Biometeorology. 69(9). 2353–2367.
2.
Rzanny, Michael, Patrick Mäder, Hans Christian Wittich, David Boho, & Jana Wäldchen. (2024). Opportunistic plant observations reveal spatial and temporal gradients in phenology. SHILAP Revista de lepidopterología. 3(1). 5–5. 8 indexed citations
3.
Rzanny, Michael, et al.. (2024). More than rapid identification—Free plant identification apps can also be highly accurate. People and Nature. 6(6). 2178–2181. 5 indexed citations
4.
Rzanny, Michael, Jana Wäldchen, Hannes Feilhauer, et al.. (2024). Macrophenological dynamics from citizen science plant occurrence data. Methods in Ecology and Evolution. 15(8). 1422–1437. 7 indexed citations
5.
Rzanny, Michael, Patrick Mäder, Christine Römermann, et al.. (2023). Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring. Frontiers in Plant Science. 14. 1150956–1150956. 6 indexed citations
6.
Schmid, Bernhard, Martin Schmitz, Michael Rzanny, et al.. (2022). Removing subordinate species in a biodiversity experiment to mimic observational field studies. SHILAP Revista de lepidopterología. 1(1). 53–62. 6 indexed citations
7.
Rzanny, Michael, et al.. (2022). Deep Learning in Plant Phenological Research: A Systematic Literature Review. Frontiers in Plant Science. 13. 805738–805738. 46 indexed citations
8.
Rzanny, Michael, et al.. (2022). Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives. Frontiers in Plant Science. 12. 804140–804140. 19 indexed citations
9.
Mäder, Patrick, David Boho, Michael Rzanny, et al.. (2021). The Flora Incognita app – Interactive plant species identification. Methods in Ecology and Evolution. 12(7). 1335–1342. 79 indexed citations
10.
Mahecha, Miguel D., Michael Rzanny, Guido Kraemer, et al.. (2021). Crowd‐sourced plant occurrence data provide a reliable description of macroecological gradients. Ecography. 44(8). 1131–1142. 19 indexed citations
11.
Boho, David, Michael Rzanny, Jana Wäldchen, et al.. (2020). Flora Capture: a citizen science application for collecting structured plant observations. BMC Bioinformatics. 21(1). 576–576. 32 indexed citations
12.
Seeland, Marco, Michael Rzanny, David Boho, Jana Wäldchen, & Patrick Mäder. (2019). Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinformatics. 20(1). 4–4. 39 indexed citations
13.
Rzanny, Michael, et al.. (2019). Flowers, leaves or both? How to obtain suitable images for automated plant identification. Plant Methods. 15(1). 77–77. 54 indexed citations
14.
Giling, Darren P., Anne Ebeling, Nico Eisenhauer, et al.. (2019). Plant diversity alters the representation of motifs in food webs. Nature Communications. 10(1). 1226–1226. 28 indexed citations
15.
Wäldchen, Jana, Michael Rzanny, Marco Seeland, & Patrick Mäder. (2018). Automated plant species identification—Trends and future directions. PLoS Computational Biology. 14(4). e1005993–e1005993. 205 indexed citations
16.
Seeland, Marco, et al.. (2017). Plant species classification using flower images—A comparative study of local feature representations. PLoS ONE. 12(2). e0170629–e0170629. 65 indexed citations
17.
Rzanny, Michael, Marco Seeland, Jana Wäldchen, & Patrick Mäder. (2017). Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain. Plant Methods. 13(1). 97–97. 48 indexed citations
18.
Beyer, Andréa, et al.. (2015). Aquifer community structure in dependence of lithostratigraphy in groundwater reservoirs. Environmental Science and Pollution Research. 22(24). 19342–19351. 20 indexed citations
19.
Rzanny, Michael & Winfried Voigt. (2012). Complexity of multitrophic interactions in a grassland ecosystem depends on plant species diversity. Journal of Animal Ecology. 81(3). 614–627. 59 indexed citations
20.
Schmidt, André, et al.. (2011). GC content‐independent amino acid patterns in Bacteria and Archaea. Journal of Basic Microbiology. 52(2). 195–205. 8 indexed citations

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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