Peter Schausberger

4.8k total citations
124 papers, 3.6k citations indexed

About

Peter Schausberger is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Peter Schausberger has authored 124 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Insect Science, 94 papers in Ecology, Evolution, Behavior and Systematics and 37 papers in Genetics. Recurrent topics in Peter Schausberger's work include Insect-Plant Interactions and Control (92 papers), Plant and animal studies (75 papers) and Insect and Pesticide Research (48 papers). Peter Schausberger is often cited by papers focused on Insect-Plant Interactions and Control (92 papers), Plant and animal studies (75 papers) and Insect and Pesticide Research (48 papers). Peter Schausberger collaborates with scholars based in Austria, Japan and Benin. Peter Schausberger's co-authors include Andreas Walzer, B. A. Croft, Daniela Hoffmann, Rachid Hanna, Manoel G. C. Gondim, Gilberto J. de Morães, J. Scott Blackwood, Horst Vierheilig, Simone Jürschik and Hannes F. Paulus and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Experimental Botany.

In The Last Decade

Peter Schausberger

119 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Schausberger Austria 35 2.9k 2.1k 1.3k 549 324 124 3.6k
Joan van Baaren France 29 2.2k 0.8× 1.5k 0.7× 846 0.7× 806 1.5× 629 1.9× 118 2.8k
Keith R. Hopper United States 28 2.5k 0.9× 1.6k 0.8× 998 0.8× 584 1.1× 523 1.6× 92 3.2k
Paul J. Ode United States 27 1.7k 0.6× 1.2k 0.6× 931 0.7× 499 0.9× 260 0.8× 77 2.2k
Wolfgang Völkl Germany 30 2.2k 0.8× 1.8k 0.9× 773 0.6× 1.1k 2.0× 257 0.8× 76 2.8k
Anthony F. G. Dixon United Kingdom 25 1.4k 0.5× 1.1k 0.6× 670 0.5× 592 1.1× 349 1.1× 57 2.0k
N. A. C. Kidd United Kingdom 23 2.7k 0.9× 1.9k 0.9× 1.1k 0.9× 546 1.0× 600 1.9× 67 3.2k
Mark A. Jervis United Kingdom 30 3.6k 1.3× 2.7k 1.3× 1.5k 1.2× 825 1.5× 599 1.8× 70 4.3k
Moshe Coll Israel 29 2.0k 0.7× 1.1k 0.5× 1.1k 0.9× 255 0.5× 353 1.1× 78 2.4k
Željko Tomanović Serbia 29 2.5k 0.9× 1.6k 0.8× 1.4k 1.1× 214 0.4× 348 1.1× 172 2.9k
Frank J. Messina United States 29 1.7k 0.6× 1.3k 0.6× 1.3k 1.0× 636 1.2× 472 1.5× 93 2.6k

Countries citing papers authored by Peter Schausberger

Since Specialization
Citations

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

Fields of papers citing papers by Peter Schausberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Schausberger

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schausberger. A scholar is included among the top collaborators of Peter Schausberger 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 Peter Schausberger. Peter Schausberger 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
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2.
Schausberger, Peter, et al.. (2024). Early social isolation disrupts adult personality expression in group‐living mites. Journal of Animal Ecology. 94(1). 45–57. 2 indexed citations
3.
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Schausberger, Peter, et al.. (2024). Early-life intraguild predation risk produces adaptive personalities in predatory mites. iScience. 27(3). 109065–109065. 2 indexed citations
5.
Schausberger, Peter, et al.. (2023). Spider mite males undress females to secure the first mating. iScience. 26(7). 107112–107112.
6.
Zamani, Abbas Ali, et al.. (2023). Thermal Oviposition Performance of the Ladybird Stethorus gilvifrons Preying on Two-Spotted Spider Mites. Insects. 14(2). 199–199. 3 indexed citations
7.
Sato, Yukie, Martijn Egas, & Peter Schausberger. (2023). The operational sex ratio experienced by mothers modulates the expression of sons’ alternative reproductive tactics in spider mites. Behavioral Ecology and Sociobiology. 77(8).
8.
Seiter, Michael, et al.. (2017). Transgenerational loss and recovery of early learning ability in foraging predatory mites. Experimental and Applied Acarology. 71(3). 243–258. 4 indexed citations
9.
Schausberger, Peter, et al.. (2017). Adaptive aggregation by spider mites under predation risk. Scientific Reports. 7(1). 10609–10609. 31 indexed citations
10.
Seiter, Michael & Peter Schausberger. (2015). Maternal intraguild predation risk affects offspring anti-predator behavior and learning in mites. Scientific Reports. 5(1). 15046–15046. 26 indexed citations
11.
Schausberger, Peter, et al.. (2013). Social familiarity relaxes the constraints of limited attention and enhances reproduction of group‐living predatory mites. Oikos. 122(8). 1217–1226. 17 indexed citations
12.
Walzer, Andreas & Peter Schausberger. (2012). Phenotypic plasticity in anti-intraguild predator strategies: mite larvae adjust their behaviours according to vulnerability and predation risk. Experimental and Applied Acarology. 60(1). 95–115. 18 indexed citations
13.
Schausberger, Peter, et al.. (2012). Social Familiarity Reduces Reaction Times and Enhances Survival of Group-Living Predatory Mites under the Risk of Predation. PLoS ONE. 7(8). e43590–e43590. 18 indexed citations
14.
Schausberger, Peter, et al.. (2012). Prenatal Chemosensory Learning by the Predatory Mite Neoseiulus californicus. PLoS ONE. 7(12). e53229–e53229. 24 indexed citations
15.
Schausberger, Peter, et al.. (2012). Social familiarity modulates group living and foraging behaviour of juvenile predatory mites. Die Naturwissenschaften. 99(4). 303–311. 27 indexed citations
16.
Walzer, Andreas & Peter Schausberger. (2011). Sex-specific developmental plasticity of generalist and specialist predatory mites (Acari: Phytoseiidae) in response to food stress. Biological Journal of the Linnean Society. 102(3). 650–660. 51 indexed citations
17.
Urbaneja, Alberto, et al.. (2009). Effects of Euseius stipulatus on establishment and efficacy in spider mite suppression of Neoseiulus californicus and Phytoseiulus persimilis in clementine. Experimental and Applied Acarology. 50(4). 329–341. 30 indexed citations
18.
Melo, José W. S., et al.. (2009). Diet-dependent life history, feeding preference and thermal requirements of the predatory mite Neoseiulus baraki (Acari: Phytoseiidae). Experimental and Applied Acarology. 50(3). 201–215. 37 indexed citations
19.
Gondim, Manoel G. C., et al.. (2007). Life history of the predatory mites Neoseiulus paspalivorus and Proctolaelaps bickleyi, candidates for biological control of Aceria guerreronis. Experimental and Applied Acarology. 43(1). 49–61. 37 indexed citations
20.
Walzer, Andreas, Sylvia Blümel, & Peter Schausberger. (2001). Population dynamics of interacting predatory mites, Phytoseiulus persimilis and Neoseiulus californicus, held on detached bean leaves. Experimental and Applied Acarology. 25(9). 731–743. 40 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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