Gerhard Körtner

3.4k citations
96 papers · 2.5k · h-index 29

Impact in

Papers in

Gerhard Körtner

93 papers receiving 2.4k citations

Peers

Gerhard Körtner
Comparison fields: 5 of 92
  • Ecology, Evolution, Behavior and Systematics 1.8k
  • Animal Science and Zoology 681
  • Ecology 1.7k
  • Developmental Biology 89
  • Ecological Modeling 166
Replace Kathrin H. Dausmann with:
Kathrin H. Dausmann Germany
Stewart C. Nicol Australia
Virginia Hayssen United States
J. Matthias Starck Germany
Liam P. McGuire Canada
Eugene H. Studier United States
A. J. Bradley Australia
Christopher Turbill Australia
Charles M. Bishop United Kingdom
M.R. Perrin South Africa
Gerhard Körtner relative to Kathrin H. Dausmann Germany Kathrin H. Dausmann's profile →
Citations per field
00.5×1.5×1.9×
Kathrin H. Dausmann · 1×
Citations per year

Countries citing papers authored by Gerhard Körtner

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Körtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerhard Körtner, 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 Gerhard Körtner Line = papers co-authored together Gerhard Körtner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000190
2 2000118
3 199989
4 199886
5 199781
6 200378
7 200073
8 199865
9 200063
10 201560
11 200856
12 201053
13 201452
14 201551
15 201249
16 200848
17 201448
18 201444
19 200142
20 201042

About Gerhard Körtner

Gerhard Körtner is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology, Paleontology and Global and Planetary Change, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (71 papers), Wildlife Ecology and Conservation (29 papers), Physiological and biochemical adaptations (29 papers), Effects of Environmental Stressors on Livestock (21 papers), Evolution and Paleontology Studies (16 papers), Marine animal studies overview (14 papers), Avian ecology and behavior (11 papers) and Human-Animal Interaction Studies (8 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.8k citations), Animal Science and Zoology (681 citations), Ecology (1.7k citations), Developmental Biology (89 citations) and Ecological Modeling (166 citations). Gerhard Körtner has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include Fritz Geiser, R. Mark Brigham, Chris R. Pavey, Xiaowei Song, Christopher Turbill, Clare Stawski, Julia Nowack, Guy Ballard, Peter J. S. Fleming and Shannon E. Currie. Their work appears in journals such as Journal of Comparative Physiology B, Journal of Experimental Biology, Journal of Zoology, Physiology & Behavior and Wildlife Research.

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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