Sven Bacher

32.7k total citations · 6 hit papers
124 papers, 17.3k citations indexed

About

Sven Bacher is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Sven Bacher has authored 124 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Ecology, 54 papers in Ecology, Evolution, Behavior and Systematics and 52 papers in Insect Science. Recurrent topics in Sven Bacher's work include Plant and animal studies (40 papers), Ecology and Vegetation Dynamics Studies (39 papers) and Species Distribution and Climate Change (32 papers). Sven Bacher is often cited by papers focused on Plant and animal studies (40 papers), Ecology and Vegetation Dynamics Studies (39 papers) and Species Distribution and Climate Change (32 papers). Sven Bacher collaborates with scholars based in Switzerland, Germany and United Kingdom. Sven Bacher's co-authors include Petr Pyšek, Carsten M. Buchmann, Gudrun Carl, Bernd Gruber, Tamara Münkemüller, Boris Schröder, Jane Elith, Colin J. McClean, Jaime Márquez and Pedro J. Leitão and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sven Bacher

124 papers receiving 16.7k citations

Hit Papers

Collinearity: a review of methods to deal with it and a s... 2008 2026 2014 2020 2012 2011 2009 2008 2020 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Bacher Switzerland 45 7.7k 5.8k 4.7k 4.2k 3.4k 124 17.3k
William K. Cornwell Australia 50 5.3k 0.7× 7.8k 1.3× 5.6k 1.2× 3.5k 0.8× 3.7k 1.1× 154 16.1k
Bernd Gruber Australia 30 5.4k 0.7× 4.2k 0.7× 4.1k 0.9× 3.4k 0.8× 2.5k 0.7× 90 13.7k
Rodolfo Dirzo United States 58 10.8k 1.4× 9.9k 1.7× 7.2k 1.5× 4.1k 1.0× 5.6k 1.6× 229 24.1k
Lesley Hughes Australia 48 6.0k 0.8× 5.9k 1.0× 4.7k 1.0× 6.7k 1.6× 3.8k 1.1× 204 15.7k
Volker Grimm Germany 61 7.1k 0.9× 6.2k 1.1× 3.9k 0.8× 2.8k 0.7× 6.0k 1.7× 260 20.3k
David I. Warton Australia 45 6.3k 0.8× 7.9k 1.4× 4.9k 1.0× 3.4k 0.8× 4.9k 1.4× 104 17.8k
James M. Bullock United Kingdom 75 7.2k 0.9× 8.8k 1.5× 6.0k 1.3× 2.4k 0.6× 6.9k 2.0× 307 21.6k
William F. Fagan United States 64 8.5k 1.1× 5.8k 1.0× 4.0k 0.9× 2.0k 0.5× 3.7k 1.1× 270 16.5k
Carsten F. Dormann Germany 58 10.0k 1.3× 9.4k 1.6× 8.0k 1.7× 7.3k 1.7× 5.9k 1.7× 173 25.9k
Aaron M. Ellison United States 65 8.5k 1.1× 6.2k 1.1× 5.4k 1.2× 2.6k 0.6× 4.9k 1.4× 291 19.5k

Countries citing papers authored by Sven Bacher

Since Specialization
Citations

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

Fields of papers citing papers by Sven Bacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Bacher

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Bacher. A scholar is included among the top collaborators of Sven Bacher 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 Sven Bacher. Sven Bacher 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.
Latombe, Guillaume, Ugo Arbieu, Sven Bacher, et al.. (2025). Clarifying ethical stances in conservation: a trolley problem thought experiment. BioScience. 75(9). 722–736. 1 indexed citations
2.
Bacher, Sven, et al.. (2024). Identifying candidate host plants for trap cropping against Drosophila suzukii in vineyards. Journal of Pest Science. 97(4). 1975–1991. 7 indexed citations
3.
Schwarzländer, Mark, Philip Weyl, Hariet L. Hinz, et al.. (2024). Traits of insect herbivores and target weeds associated with greater biological weed control establishment and impact. BioControl. 69(3). 221–236. 6 indexed citations
4.
Carneiro, Laís, Philip E. Hulme, Ross N. Cuthbert, et al.. (2024). Benefits do not balance costs of biological invasions. BioScience. 74(5). 340–344. 22 indexed citations
5.
Probert, Anna F., Daniel Wegmann, Tim Adriaens, et al.. (2022). Identifying, reducing, and communicating uncertainty in community science: a focus on alien species. Biological Invasions. 24(11). 3395–3421. 10 indexed citations
6.
Bacher, Sven, et al.. (2022). Are species more harmful in their native, neonative or alien range? Insights from a global analysis of bark beetles. Diversity and Distributions. 28(9). 1832–1849. 8 indexed citations
8.
Blackburn, Tim M., Sandro Bertolino, Thomas Evans, et al.. (2020). Improving the Environmental Impact Classification for Alien Taxa (EICAT): a summary of revisions to the framework and guidelines. NeoBiota. 62. 547–567. 30 indexed citations
9.
Wilson, John R., Sven Bacher, Curtis C. Daehler, et al.. (2020). Frameworks used in invasion science: progress and prospects. NeoBiota. 62. 1–30. 16 indexed citations
10.
Kumschick, Sabrina, Sven Bacher, Sandro Bertolino, et al.. (2020). Appropriate uses of EICAT protocol, data and classifications. NeoBiota. 62. 193–212. 37 indexed citations
11.
Pyšek, Petr, et al.. (2020). Independent introductions of hedgehogs to the North and South Island of New Zealand. New Zealand Journal of Ecology. 44(1). 1 indexed citations
12.
Gallardo, Belinda, Sven Bacher, Bethany A. Bradley, et al.. (2019). InvasiBES: Understanding and managing the impacts of Invasive alien species on Biodiversity and Ecosystem Services. NeoBiota. 50. 109–122. 54 indexed citations
13.
Forster, Beat, et al.. (2018). A local risk map using field observations of the Asian longhorned beetle to optimize monitoring activities. Journal of Applied Entomology. 142(6). 578–588. 5 indexed citations
14.
Nentwig, Wolfgang, Sven Bacher, Sabrina Kumschick, Petr Pyšek, & Montserrat Vilà. (2018). Correction to: More than “100 worst” alien species in Europe. Biological Invasions. 20(6). 1623–1623. 6 indexed citations
15.
Pergl, Jan, Petr Pyšek, Sven Bacher, et al.. (2017). Troubling travellers: are ecologically harmful alien species associated with particular introduction pathways?. NeoBiota. 32. 1–20. 60 indexed citations
16.
Nentwig, Wolfgang, Sven Bacher, Sabrina Kumschick, Petr Pyšek, & Montserrat Vilà. (2017). More than “100 worst” alien species in Europe. Biological Invasions. 20(6). 1611–1621. 222 indexed citations
17.
Blackburn, T. M., Sven Bacher, Piero Genovesi, et al.. (2015). Tools to address invasive species impacts must build on knowledge not ignorance – some thoughts on Ojaveer et al. Bern Open Repository and Information System (University of Bern). 1 indexed citations
18.
Vilà, Montserrat, Sven Bacher, Philip E. Hulme, et al.. (2006). Impactos ecológicos de las invasiones de plantas y vertebrados terrestres en Europa. SHILAP Revista de lepidopterología. 15(2). 1–12. 17 indexed citations
19.
Imboden, Hans, et al.. (2000). A monoclonal antibody to the shield beetle Cassida rubiginosa: a tool for predator gut analysis.. 12. 581–584. 1 indexed citations
20.
Bacher, Sven, et al.. (1997). Problematic weeds in ecological compensation areas.. 4(2). 65–67. 5 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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