Prof. Dr. Sarah Hallerberg

Fakultät Nachhaltige Ingenieurwissenschaften

Berliner Tor 21,
20099 Hamburg

Room 412

+49 40 428 75-8789
sarah.hallerberg (at) haw-hamburg (dot) de

Programm STS Sustainable Technologies and Systems
Doktorandenbetreuerin

Berliner Tor 5,
20099 Hamburg

sarah.hallerberg (at) haw-hamburg (dot) de

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Publications

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B.Ghani, S. Hallerberg, A Randomized Bag-of-Birds Approach to Study Robustness of Automated Audio Based Bird Species Classification, Applied Science, 11(19), 9226, (2021)
X.Zhang, S. Hallerberg, M. Matthiae, D. Witthaut, M. Timme, Fluctuation-induced Distributed Resonances in Oscillatory Networks, Science Advances , Vol.5, no. 7, (2019)
J. Casadiego, M. Nitzan, S. Hallerberg and M. Timme, Model-free inference of direct network interactions from nonlinear collective dynamics, Nature Communications 8, 2129, (2017)
N. Sharafi, M. Timme, and S.Hallerberg, Critical transitions and perturbation growth directions, Phys. Rev. E 96, 032220 – Published 19 September 2017,
H. Vester, S. Hallerberg, M. Timme, K. Hammerschmidt, Vocal repertoire of long-finned pilot whales (Globicephala melas) in northern Norway, The Journal of the Acoustical Society of America 141, 4289 (2017)
D. Manik, M. Rohden, H. Ronellenfitsch, X. Zhang, S. Hallerberg, D. Witthaut, M. Timme, Network susceptibilities: Theory and applications, Phys. Rev. E 95, 012319 (2017)
D. Witthaut, M. Rohden, X. Zhang, S. Hallerberg, M. Timme, Critical Links and Nonlocal Rerouting in Complex Supply Networks, Phys. Rev. Lett. 116, 138701, (2016).
H. Vester, K. Hammerschmidt, M. Timme and S. Hallerberg, Quantifying group specificity of animal vocalizations without specific sender information, Phys. Rev. E, 93, 022138, (2016).
X. Zhang, C. Kühn, S. Hallerberg, Predictability of critical transitions, Phys. Rev. E, 92, 052905, (2015).
S. Hallerberg, A. S de Wijn, Understanding and controlling regime switching in molecular diffusion, Phys. Rev. E, 90, 062901, (2014).
S. Hallerberg, D. Pazó, M. A. Rodríguez, J. M. Lopéz, Logarithmic bred vectors in spatiotemporal chaos: Structure and growth Phys. Rev. E, 81, 066204, (2010).
A. Garber, S. Hallerberg, H. Kantz, Predicting extreme avalanches in self-organized critical sandpiles, Phys. Rev. E, 80, 026124, (2009).
S. Hallerberg, Predictability of Extreme Events in Time Series, Dissertation elpub.bib.uni-wuppertal.de/edocs/dokumente/fbc/physik/diss2008/hallerberg/index.html

S. Hallerberg, J. Bröcker and H. Kantz, Prediction of Extreme Events in Nonlinear Time Series Analysis in the Geosciences - Applications in Climatology, Geodynamics, and Solar-Terrestrial Physics, edited by R. Donner, S. Barbosa, Lecture Notes in Earth Sciences, Springer (2008).

S. Hallerberg and H. Kantz, Influence of the Event Magnitude on the Predictability of Extreme Events, Phys. Rev. E, 77, 011108, (2008).

S. Hallerberg and H. Kantz, How Does the Quality of a Prediction depend on the Magnitude of the Events under Study? Nonlin. Processes in Geophys., 15, 321-331, (2008).

S. Hallerberg and H. Kantz, Influence of the Event Magnitude on the Predictability of Extreme Events, ETE[1008], 147807.

S. Hallerberg., E. G. Altmann, D. Holstein, H. Kantz, Precursors of Extreme Increments, Phys. Rev. E, 75, 016706, (2007).

E. G. Altmann, S. Hallerberg, and H. Kantz, Reactions to extreme events: moving threshold model, Physica A, 364, 435-444, (2006).

H. Kantz, E. G. Altmann, S. Hallerberg, D. Holstein, A. Riegert, Dynamical interpretation of extreme events: predictability and predictions, in Sergio Albeverio, Volker Jentsch, Holger Kantz (eds.), Extreme Events in Nature and Society, Springer (2005).

S. Hallerberg, W. Just, and G. Radons, Analytic properties of the Ruelle zeta function for mean field models of phase transition, J. Phys. A: Math. Gen., 38, 5097-5109 (2005).