Michael Schaub

11.3k citations
187 papers · 8.6k indexed · 1 hit paper · h-index 49

Michael Schaub

182 papers receiving 8.2k citations

Hit Papers

Bayesian Population Analysis using WinBUGS: A Hierarchica...9702011202620162021250500750

Peers

Michael Schaub
Comparison fields: 5 of 151
  • Ecological Modeling 2.2k
  • Ecology 7.1k
  • Nature and Landscape Conservation 2.5k
  • Ecology, Evolution, Behavior and Systematics 2.3k
  • Developmental Biology 225
Replace Roger Pradel with:
Roger Pradel France
Jean‐Dominique Lebreton France
Olivier Giménez France
Thierry Boulinier France
Stephen R. Baillie United Kingdom
Marc Kéry Switzerland
Larissa L. Bailey United States
Raphaël Arlettaz Switzerland
Steven R. Beissinger United States
Richard D. Gregory United Kingdom
Michael Schaub relative to Roger Pradel France Roger Pradel's profile →
Citations per field
00.5×1.5×2.1×
Roger Pradel · 1×
Citations per year

Countries citing papers authored by Michael Schaub

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Schaub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Schaub Line = papers co-authored together Michael Schaub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 202410
4 20245
5 20232
6 20229
7 202214
8 20224
9 20219
10 202111
11 20207
12 202010
13 202021
14 201930
15 201925
16 201925
17 200919
18 200912
19
Wiedehopfpaar zieht Wendehalsnestlinge bis zum Ausfliegen auf
20081
20 20050

About Michael Schaub

Michael Schaub is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation, having authored 187 papers that have together received 8.6k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (116 papers), Avian ecology and behavior (108 papers), Animal Behavior and Reproduction (48 papers), Species Distribution and Climate Change (35 papers), Animal Ecology and Behavior Studies (30 papers), Ecology and Vegetation Dynamics Studies (28 papers), Amphibian and Reptile Biology (14 papers) and Fish Ecology and Management Studies (11 papers). The work is most often cited by research in Ecological Modeling (2.2k citations), Ecology (7.1k citations) and Nature and Landscape Conservation (2.5k citations). Michael Schaub has collaborated with scholars based in Switzerland, France and Germany. Frequent co-authors include Lukas Jenni, Marc Kéry, Raphaël Arlettaz, Fitsum Abadi, Benedikt R. Schmidt, Olivier Giménez, Roger Pradel, T Reichlin, J. Andrew Royle and Antoine Sierro. Their work appears in journals such as Journal of Animal Ecology, Ecology, Ecology and Evolution, Oecologia and Animal Conservation.

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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