Birgen Haest

1.3k total citations
36 papers, 880 citations indexed

About

Birgen Haest is a scholar working on Ecology, Ecological Modeling and Global and Planetary Change. According to data from OpenAlex, Birgen Haest has authored 36 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecology, 25 papers in Ecological Modeling and 11 papers in Global and Planetary Change. Recurrent topics in Birgen Haest's work include Species Distribution and Climate Change (25 papers), Avian ecology and behavior (14 papers) and Remote Sensing in Agriculture (14 papers). Birgen Haest is often cited by papers focused on Species Distribution and Climate Change (25 papers), Avian ecology and behavior (14 papers) and Remote Sensing in Agriculture (14 papers). Birgen Haest collaborates with scholars based in Switzerland, Belgium and Germany. Birgen Haest's co-authors include Jeroen Vanden Borre, Franz Bairlein, Ommo Hüppop, Toon Spanhove, C.A. Mücher, Desiré Paelinckx, Lammert Kooistra, Stephanie Delalieux, Geert De Blust and Anne Schmidt and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Remote Sensing of Environment.

In The Last Decade

Birgen Haest

34 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birgen Haest Switzerland 15 672 366 326 178 123 36 880
Jeroen Vanden Borre Belgium 14 651 1.0× 310 0.8× 359 1.1× 247 1.4× 92 0.7× 33 956
Toon Spanhove Belgium 16 561 0.8× 226 0.6× 332 1.0× 158 0.9× 136 1.1× 33 870
Gerald L. Anderson United States 15 669 1.0× 179 0.5× 228 0.7× 165 0.9× 93 0.8× 26 886
Jennifer Pontius United States 15 660 1.0× 218 0.6× 462 1.4× 181 1.0× 103 0.8× 26 1.1k
Luis Carrasco United States 13 527 0.8× 102 0.3× 263 0.8× 202 1.1× 122 1.0× 20 740
Lucie Homolová Czechia 16 962 1.4× 250 0.7× 505 1.5× 450 2.5× 59 0.5× 45 1.2k
J. Alberto Gallardo-Cruz Mexico 13 338 0.5× 118 0.3× 271 0.8× 149 0.8× 140 1.1× 37 737
Matthew Colgan United States 11 476 0.7× 158 0.4× 283 0.9× 288 1.6× 66 0.5× 13 835
Carol X. Garzón‐López Italy 17 405 0.6× 246 0.7× 240 0.7× 92 0.5× 186 1.5× 30 794
Jelle G. Ferwerda Netherlands 15 907 1.3× 115 0.3× 285 0.9× 271 1.5× 37 0.3× 27 1.2k

Countries citing papers authored by Birgen Haest

Since Specialization
Citations

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

Fields of papers citing papers by Birgen Haest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgen Haest

This figure shows the co-authorship network connecting the top 25 collaborators of Birgen Haest. A scholar is included among the top collaborators of Birgen Haest 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 Birgen Haest. Birgen Haest 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.
Wynn, Joe, Birgen Haest, Heiko Schmaljohann, et al.. (2025). Route flexibility is associated with headwind minimization in a long-distance migratory seabird. Proceedings of the Royal Society B Biological Sciences. 292(2044). 20242522–20242522.
2.
Haest, Birgen, et al.. (2025). Quantifying nocturnal bird migration using acoustics: opportunities and challenges. Remote Sensing in Ecology and Conservation. 11(4). 425–437.
3.
Haest, Birgen, Félix Liechti, Will L. S. Hawkes, et al.. (2024). Continental-scale patterns in diel flight timing of high-altitude migratory insects. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1904). 20230116–20230116. 16 indexed citations
4.
Bauer, Silke, et al.. (2024). Monitoring aerial insect biodiversity: a radar perspective. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1904). 20230113–20230113. 12 indexed citations
5.
Weisshaupt, Nadja, Maxime Hervo, & Birgen Haest. (2023). Comparison of bird migration in a radar wind profiler and a dedicated bird radar. Remote Sensing in Ecology and Conservation. 9(6). 820–828. 9 indexed citations
6.
Schmaljohann, Heiko, Coraline Bichet, Birgen Haest, et al.. (2022). High individual repeatability of the migratory behaviour of a long-distance migratory seabird. Movement Ecology. 10(1). 5–5. 35 indexed citations
7.
Haest, Birgen, Phillip M. Stepanian, Charlotte E. Wainwright, Félix Liechti, & Silke Bauer. (2020). Climatic drivers of (changes in) bat migration phenology at Bracken Cave (USA). Global Change Biology. 27(4). 768–780. 18 indexed citations
8.
Haest, Birgen, Ommo Hüppop, & Franz Bairlein. (2020). Weather at the winter and stopover areas determines spring migration onset, progress, and advancements in Afro-Palearctic migrant birds. Proceedings of the National Academy of Sciences. 117(29). 17056–17062. 60 indexed citations
9.
Haest, Birgen, Ommo Hüppop, Martijn van de Pol, & Franz Bairlein. (2019). Autumn bird migration phenology: A potpourri of wind, precipitation and temperature effects. Global Change Biology. 25(12). 4064–4080. 62 indexed citations
10.
Haest, Birgen. (2018). Data for: Cuckoos: The holy grail of avian biodiversity conservation?. Data Archiving and Networked Services (DANS). 1. 1 indexed citations
11.
Haest, Birgen, Ommo Hüppop, & Franz Bairlein. (2018). The influence of weather on avian spring migration phenology: What, where and when?. Global Change Biology. 24(12). 5769–5788. 56 indexed citations
12.
Haest, Birgen, Jeroen Vanden Borre, Toon Spanhove, et al.. (2017). Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy. Remote Sensing. 9(3). 266–266. 30 indexed citations
13.
14.
Borre, Jeroen Vanden, Desiré Paelinckx, C.A. Mücher, et al.. (2011). Integrating remote sensing in Natura 2000 habitat monitoring: Prospects on the way forward. Journal for Nature Conservation. 19(2). 116–125. 151 indexed citations
15.
Spanhove, Toon, et al.. (2010). Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 25-30 July 2010, Honolulu, Hawai, USA.. 1 indexed citations
16.
Delalieux, Stephanie, Ben Somers, Birgen Haest, et al.. (2010). Monitoring heathland habitat status using hyperspectral image classification and unmixing. 44. 1–4. 8 indexed citations
17.
Haest, Birgen, Jeroen Vanden Borre, Toon Spanhove, et al.. (2010). An object-based approach to quantity and quality assessment of heathland habitats in the framework of natura 2000 using hyperspectral airborne ahs images. Socio-Environmental Systems Modeling. 21 indexed citations
18.
Mücher, C.A., Lammert Kooistra, Birgen Haest, et al.. (2010). Object identification and characterization with hyperspectral imagery to identify structure and function of Natura 2000 habitats. Socio-Environmental Systems Modeling. 5–5. 2 indexed citations
19.
20.
Kooistra, Lammert, C.A. Mücher, Jonathan Cheung-Wai Chan, Jeroen Vanden Borre, & Birgen Haest. (2009). Use of spectral mixture analysis for characterisation of function and structure of heathland habitat types. Socio-Environmental Systems Modeling. 1 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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