Birgit Erni

1.1k total citations
27 papers, 664 citations indexed

About

Birgit Erni is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Birgit Erni has authored 27 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 10 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Nature and Landscape Conservation. Recurrent topics in Birgit Erni's work include Avian ecology and behavior (19 papers), Wildlife Ecology and Conservation (11 papers) and Ecology and Vegetation Dynamics Studies (8 papers). Birgit Erni is often cited by papers focused on Avian ecology and behavior (19 papers), Wildlife Ecology and Conservation (11 papers) and Ecology and Vegetation Dynamics Studies (8 papers). Birgit Erni collaborates with scholars based in South Africa, Australia and United Kingdom. Birgit Erni's co-authors include Res Altwegg, Félix Liechti, Bruno Bruderer, Les G Underhill, Vernon Visser, Liam D. Bailey, Yvonne C. Collingham, Brian Huntley, Mike D. Picker and Jørgen Rabøl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Birgit Erni

26 papers receiving 639 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Birgit Erni South Africa 15 489 242 220 189 161 27 664
Kurt Jerstad Norway 12 533 1.1× 191 0.8× 225 1.0× 192 1.0× 185 1.1× 21 691
Casey Youngflesh United States 12 452 0.9× 145 0.6× 215 1.0× 144 0.8× 136 0.8× 25 616
David N. Ewert United States 15 698 1.4× 200 0.8× 229 1.0× 254 1.3× 204 1.3× 36 867
Rosemarie Kentie Netherlands 17 664 1.4× 243 1.0× 193 0.9× 195 1.0× 133 0.8× 33 776
Anna M. Calvert Canada 14 624 1.3× 119 0.5× 147 0.7× 155 0.8× 142 0.9× 32 724
Adrian C. Riegen New Zealand 8 668 1.4× 104 0.4× 166 0.8× 110 0.6× 136 0.8× 16 781
Ole Wiggo Røstad Norway 8 440 0.9× 182 0.8× 207 0.9× 183 1.0× 157 1.0× 14 572
Karsten Laursen Denmark 14 490 1.0× 117 0.5× 173 0.8× 160 0.8× 180 1.1× 47 660
Graham F. Appleton United Kingdom 8 541 1.1× 175 0.7× 199 0.9× 151 0.8× 156 1.0× 10 624
Simone Tenan Italy 18 687 1.4× 110 0.5× 292 1.3× 210 1.1× 186 1.2× 43 849

Countries citing papers authored by Birgit Erni

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Erni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgit Erni

This figure shows the co-authorship network connecting the top 25 collaborators of Birgit Erni. A scholar is included among the top collaborators of Birgit Erni 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 Birgit Erni. Birgit Erni 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.
Craig, Adrian & Birgit Erni. (2023). Special issue on moult in African birds. Ostrich. 94(4).
2.
Lee, Alan TK, et al.. (2023). Using generalised additive models to visualise the annual cycle of primary feather moult patterns. Ostrich. 94(4). 324–332. 2 indexed citations
3.
Nickless, Alecia, P. J. Rayner, Robert J. Scholes, François Engelbrecht, & Birgit Erni. (2019). An atmospheric inversion over the city of Cape Town: sensitivity analyses. Atmospheric chemistry and physics. 19(11). 7789–7816. 6 indexed citations
4.
Bernitz, Herman, et al.. (2019). Are animals shrinking due to climate change? Temperature-mediated selection on body mass in mountain wagtails. Oecologia. 189(3). 841–849. 16 indexed citations
5.
Nickless, Alecia, P. J. Rayner, François Engelbrecht, et al.. (2018). Estimates of CO 2 fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling. Atmospheric chemistry and physics. 18(7). 4765–4801. 21 indexed citations
6.
Nickless, Alecia, P. J. Rayner, Birgit Erni, & Robert J. Scholes. (2018). Comparison of the genetic algorithm and incremental optimisation routines for a Bayesian inverse modelling based network design. Inverse Problems. 34(5). 55006–55006. 7 indexed citations
7.
Underhill, Les G, et al.. (2018). Migratory connectivity of barn swallows in South Africa to their Palaearctic breeding grounds. Diversity and Distributions. 24(11). 1699–1708. 4 indexed citations
8.
Simmons, Robert E., et al.. (2015). Declines in migrant shorebird populations from a winter-quarter perspective. Conservation Biology. 29(3). 877–887. 21 indexed citations
9.
Juergens, Norbert, et al.. (2015). Weaknesses in the plant competition hypothesis for fairy circle formation and evidence supporting the sand termite hypothesis. Ecological Entomology. 40(6). 661–668. 24 indexed citations
10.
Zuberogoitia, Íñigo, et al.. (2015). The flight feather moult pattern of the bearded vulture (Gypaetus barbatus). Journal für Ornithologie. 157(1). 209–217. 8 indexed citations
11.
Erni, Birgit, et al.. (2014). Modeling Growth Patterns of Swift Terns Using Non-Linear Mixed Effects Models. 4(5). 224–232. 1 indexed citations
12.
Picker, Mike D., et al.. (2014). Herbivory by subterranean termite colonies and the development of fairy circles in SW N amibia. Ecological Entomology. 40(1). 42–49. 25 indexed citations
13.
Minton, Clive, et al.. (2013). Flexibility and constraints in the molt schedule of long‐distance migratory shorebirds: causes and consequences. Ecology and Evolution. 3(7). 1967–1976. 17 indexed citations
14.
Erni, Birgit, et al.. (2013). moult: AnRPackage to Analyze Moult in Birds. Journal of Statistical Software. 52(8). 67 indexed citations
15.
Erni, Birgit, et al.. (2013). moult: An R Package to Analyze Moult in Birds. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Altwegg, Res, Yvonne C. Collingham, Birgit Erni, & Brian Huntley. (2012). Density‐dependent dispersal and the speed of range expansions. Diversity and Distributions. 19(1). 60–68. 48 indexed citations
17.
Thorup, Kasper, Jørgen Rabøl, & Birgit Erni. (2007). Estimating variation among individuals in migration direction. Journal of Avian Biology. 38(2). 182–189. 12 indexed citations
18.
Erni, Birgit, Res Altwegg, & Les G Underhill. (2007). An index to compare geographical distributions of species. Diversity and Distributions. 13(6). 829–835. 1 indexed citations
19.
Erni, Birgit, Félix Liechti, & Bruno Bruderer. (2003). How does a first year passerine migrant find its way? Simulating migration mechanisms and behavioural adaptations. Oikos. 103(2). 333–340. 25 indexed citations
20.
Erni, Birgit, Félix Liechti, & Bruno Bruderer. (2002). Stopover Strategies in Passerine Bird Migration: A Simulation Study. Journal of Theoretical Biology. 219(4). 479–493. 52 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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