Beat‏ Schätti

48 papers receiving 430 citations

Peers

Beat‏ Schätti
Comparison fields: 5 of 41
  • Ecological Modeling 99
  • Global and Planetary Change 394
  • Ecology, Evolution, Behavior and Systematics 195
  • Genetics 262
  • Paleontology 59
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Peter Lenk Germany
Júlio César de Moura-Leite Brazil
Stephen Spawls United States
A.A. Thasun Amarasinghe Indonesia
Ashok Captain India
Christopher M. R. Kelly South Africa
Jeff Boundy United States
S. P. Vijayakumar India
Panagiotis Kornilios Greece
Catriona R. Hendry United States
Beat‏ Schätti relative to Peter Lenk Germany Peter Lenk's profile →
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Citations per year

Countries citing papers authored by Beat‏ Schätti

Since Specialization
Citations

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

Fields of papers citing papers by Beat‏ Schätti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Beat‏ Schätti, 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 Beat‏ Schätti Line = papers co-authored together Beat‏ Schätti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199485
2 200281
3 200132
4 200421
5 198716
6 199115
7 198914
8 201313
9 199313
10 200412
11 198212
12 200611
13 201411
14 198610
15 199010
16 200510
17 19859
18 20049
19
Morphological evidence for a partition of the genus Coluber (Reptilia: Serpentes)
19868
20 19867

About Beat‏ Schätti

Beat‏ Schätti is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics, Genetics, Ecological Modeling and Ecology, having authored 50 papers that have together received 488 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (36 papers), Species Distribution and Climate Change (14 papers), Spider Taxonomy and Behavior Studies (13 papers), Lepidoptera: Biology and Taxonomy (11 papers), Bat Biology and Ecology Studies (11 papers), Wildlife Ecology and Conservation (9 papers), Environmental and Biological Research in Conflict Zones (6 papers) and Orthoptera Research and Taxonomy (6 papers). The work is most often cited by research in Ecological Modeling (99 citations), Global and Planetary Change (394 citations), Ecology, Evolution, Behavior and Systematics (195 citations), Genetics (262 citations) and Paleontology (59 citations). Beat‏ Schätti has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hobart M. Smith, Cormac McCarthy, Jean‐Claude Rage, Michihisa Toriba, Donald G. Broadley, George R. Zug, Andreas Schmitz, C. F. McCarthy, H. Sigg and Ivan Ineich. Their work appears in journals such as Amphibia-Reptilia, Zoosystematics and Evolution, Revue suisse de zoologie, Copeia and Vertebrate Zoology.

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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