Yannik Behr

2.4k total citations · 1 hit paper
27 papers, 1.7k citations indexed

About

Yannik Behr is a scholar working on Artificial Intelligence, Geophysics and Global and Planetary Change. According to data from OpenAlex, Yannik Behr has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Geophysics and 3 papers in Global and Planetary Change. Recurrent topics in Yannik Behr's work include Seismology and Earthquake Studies (20 papers), Seismic Waves and Analysis (13 papers) and earthquake and tectonic studies (9 papers). Yannik Behr is often cited by papers focused on Seismology and Earthquake Studies (20 papers), Seismic Waves and Analysis (13 papers) and earthquake and tectonic studies (9 papers). Yannik Behr collaborates with scholars based in New Zealand, Switzerland and Germany. Yannik Behr's co-authors include J. Wassermann, Lion Krischer, Tobias Megies, R. Barsch, Moritz Beyreuther, John Townend, Stephen Bannister, John Clinton, Carlo Cauzzi and M. K. Savage and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

Yannik Behr

25 papers receiving 1.6k citations

Hit Papers

ObsPy: A Python Toolbox f... 2010 2026 2015 2020 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yannik Behr New Zealand 13 1.5k 636 163 101 81 27 1.7k
J. Wassermann Germany 5 1.3k 0.9× 471 0.7× 128 0.8× 86 0.9× 79 1.0× 8 1.5k
R. Barsch Germany 5 1.9k 1.2× 746 1.2× 222 1.4× 123 1.2× 97 1.2× 12 2.0k
Tobias Megies Germany 7 2.1k 1.4× 836 1.3× 233 1.4× 130 1.3× 105 1.3× 15 2.3k
Zacharie Duputel France 28 2.9k 1.9× 697 1.1× 186 1.1× 96 1.0× 119 1.5× 65 3.1k
Thomas Lecocq Belgium 23 1.6k 1.1× 620 1.0× 222 1.4× 88 0.9× 178 2.2× 77 1.9k
G. L. Pavlis United States 30 2.3k 1.5× 393 0.6× 174 1.1× 73 0.7× 116 1.4× 102 2.4k
Moritz Beyreuther Germany 8 2.1k 1.3× 933 1.5× 228 1.4× 120 1.2× 103 1.3× 16 2.2k
D. Legrand Mexico 25 1.4k 0.9× 298 0.5× 109 0.7× 61 0.6× 150 1.9× 65 1.6k
J. F. Lawrence United States 27 2.3k 1.5× 653 1.0× 356 2.2× 185 1.8× 144 1.8× 51 2.5k
Anthony Lomax Italy 30 2.3k 1.5× 1.0k 1.6× 225 1.4× 176 1.7× 61 0.8× 91 2.5k

Countries citing papers authored by Yannik Behr

Since Specialization
Citations

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

Fields of papers citing papers by Yannik Behr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannik Behr

This figure shows the co-authorship network connecting the top 25 collaborators of Yannik Behr. A scholar is included among the top collaborators of Yannik Behr 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 Yannik Behr. Yannik Behr 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.
Illsley‐Kemp, Finnigan, et al.. (2025). Source dynamics of Ruapehu’s 2022 volcanic unrest: insights from drumbeat seismicity, tremor, and crater lake signals. Bulletin of Volcanology. 87(6). 44–44.
2.
Sherburn, Steven, Yannik Behr, Ery Hughes, et al.. (2024). Twenty years of volcano data at GeoNet—collection, custodianship, and evolution of open data on New Zealand’s volcanoes. Bulletin of Volcanology. 86(10). 4 indexed citations
3.
Andrews, Jennifer, Yannik Behr, Maren Böse, et al.. (2023). Rapid Earthquake Rupture Characterization for New Zealand Using the FinDer Algorithm. Bulletin of the Seismological Society of America. 114(2). 775–793. 2 indexed citations
4.
Behr, Yannik, S. Sherburn, & Tony Hurst. (2023). Continuous estimates of heat emission at Mt. Ruapehu using the Unscented Kalman Smoother. SHILAP Revista de lepidopterología. 12(1). 4 indexed citations
6.
Psimoulis, Panos, Nicolas Houlié, & Yannik Behr. (2017). Real‐Time Magnitude Characterization of Large Earthquakes Using the Predominant Period Derived From 1 Hz GPS Data. Geophysical Research Letters. 45(2). 517–526. 11 indexed citations
7.
Massin, Frédérick, et al.. (2016). Assessing the Applicability of Earthquake Early Warning in Nicaragua.. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
8.
Behr, Yannik, John Clinton, Carlo Cauzzi, et al.. (2016). The Virtual Seismologist in SeisComP3: A New Implementation Strategy for Earthquake Early Warning Algorithms. Seismological Research Letters. 87(2A). 363–373. 25 indexed citations
9.
Cauzzi, Carlo, Yannik Behr, John Douglas, et al.. (2016). Earthquake early warning and operational earthquake forecasting as real-time hazard information to mitigate seismic risk at nuclear facilities. Bulletin of Earthquake Engineering. 14(9). 2495–2512. 36 indexed citations
10.
Cauzzi, Carlo, Yannik Behr, John Clinton, et al.. (2016). An Open‐Source Earthquake Early Warning Display. Seismological Research Letters. 87(3). 737–742. 15 indexed citations
11.
Behr, Yannik, Carlo Cauzzi, Kristín Jónsdóttir, et al.. (2015). Exploring the Readiness for Earthquake Early Warning at Seismic Networks Across Europe. Seismological Research Letters. 86. 738–739. 1 indexed citations
12.
Diehl, Tobias, N. Deichmann, John Clinton, et al.. (2015). Earthquakes in Switzerland and surrounding regions during 2014. Swiss Journal of Geosciences. 108(2-3). 425–443. 26 indexed citations
13.
Diehl, Tobias, John Clinton, Toni Kraft, et al.. (2014). Earthquakes in Switzerland and surrounding regions during 2013. Swiss Journal of Geosciences. 107(2-3). 359–375. 30 indexed citations
14.
Behr, Yannik, John Clinton, G. Cua, et al.. (2013). Evaluation of Real-Time and Off-Line Performance of the Virtual Seismologist Earthquake Early Warning Algorithm in Switzerland. EGUGA. 1 indexed citations
15.
Kao, Honn, Yannik Behr, Claire A. Currie, et al.. (2013). Ambient seismic noise tomography of Canada and adjacent regions: Part I. Crustal structures. Journal of Geophysical Research Solid Earth. 118(11). 5865–5887. 52 indexed citations
16.
Curtis, Andrew, Yannik Behr, Elizabeth Entwistle, et al.. (2012). The benefit of hindsight in observational science: Retrospective seismological observations. Earth and Planetary Science Letters. 345-348. 212–220. 25 indexed citations
17.
Behr, Yannik, John Townend, Melissa Bowen, et al.. (2012). Source directionality of ambient seismic noise inferred from three‐component beamforming. Journal of Geophysical Research Solid Earth. 118(1). 240–248. 45 indexed citations
18.
Behr, Yannik, John Townend, Stephen Bannister, & M. K. Savage. (2011). Crustal shear wave tomography of the Taupo Volcanic Zone, New Zealand, via ambient noise correlation between multiple three‐component networks. Geochemistry Geophysics Geosystems. 12(3). 28 indexed citations
19.
Beyreuther, Moritz, R. Barsch, Lion Krischer, et al.. (2010). ObsPy: A Python toolbox for Seismology, a Data Center Perspective. EGU General Assembly Conference Abstracts. 4576. 1 indexed citations
20.
Beyreuther, Moritz, R. Barsch, Lion Krischer, et al.. (2010). ObsPy: A Python Toolbox for Seismology. Seismological Research Letters. 81(3). 530–533. 1222 indexed citations breakdown →

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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