Martin Schädler

5.9k total citations
112 papers, 3.4k citations indexed

About

Martin Schädler is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Martin Schädler has authored 112 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Ecology, Evolution, Behavior and Systematics, 41 papers in Plant Science and 37 papers in Nature and Landscape Conservation. Recurrent topics in Martin Schädler's work include Ecology and Vegetation Dynamics Studies (37 papers), Soil Carbon and Nitrogen Dynamics (32 papers) and Plant and animal studies (27 papers). Martin Schädler is often cited by papers focused on Ecology and Vegetation Dynamics Studies (37 papers), Soil Carbon and Nitrogen Dynamics (32 papers) and Plant and animal studies (27 papers). Martin Schädler collaborates with scholars based in Germany, China and United States. Martin Schädler's co-authors include Roland Brandl, Nico Eisenhauer, Anne Kempel, Harald Auge, Daniel J. Ballhorn, Rui Yin, François Buscot, Witoon Purahong, Anja Schmidt and Stefanie Kautz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Martin Schädler

108 papers receiving 3.3k citations

Peers

Martin Schädler
Comparison fields: 5 of 96
  • Plant Science 1.5k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Nature and Landscape Conservation 929
  • Ecology 922
  • Soil Science 907
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Juha Mikola Finland
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Citations per field, relative to Martin Schädler
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Citations per year, relative to Martin Schädler
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Countries citing papers authored by Martin Schädler

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schädler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schädler

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schädler. A scholar is included among the top collaborators of Martin Schädler 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 Martin Schädler. Martin Schädler 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
# Work Indexed citations
1 1
2 4
3 2
4 4
5 2
6 2
7 3
8 4
9 37
10 12
11 33
12 30
13 60
14 55
15 2
16 20
17 28
18 22
19
Are sawflies adapted to individual host trees? A test of the adaptive deme formation hypothesis
12
20
Effects of herbivorous insects on secondary plant succession.
2

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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