Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Reaction-rate theory: fifty years after Kramers
19904.7k citationsPeter Hänggi, Peter Talkner et al.profile →
Stochastic resonance
19984.4k citationsPeter Hänggi, Fabio Marchesoni et al.profile →
Artificial Brownian motors: Controlling transport on the nanoscale
This map shows the geographic impact of Peter Hänggi'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 Hänggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Hänggi more than expected).
This network shows the impact of papers produced by Peter Hänggi. 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 Hänggi. The network helps show where Peter Hänggi may publish in the future.
Co-authorship network of co-authors of Peter Hänggi
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hänggi.
A scholar is included among the top collaborators of Peter Hänggi 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 Hänggi. Peter Hänggi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hänggi, Peter. (2019). The functional derivative and its use in the description of noisy dynamical systems. OPUS (Augsburg University).
3.
Hümmer, Thomas, Georg M. Reuther, Peter Hänggi, & David Zueco. (2012). Non-equilibrium phases in hybrid flux-qubit--NV-center arrays. arXiv (Cornell University).1 indexed citations
Kosińska, I. D., Igor Goychuk, Marcin Kostur, et al.. (2008). A SINGULAR PERTURBATION APPROACH TO THE STEADY-STATE 1D POISSON-NERNST-PLANCK MODELING ∗. Acta Physica Polonica B. 39(5). 1137.1 indexed citations
6.
Hennig, D., et al.. (2008). ROLE OF ENERGY EXCHANGE IN THE DETERMINISTIC ESCAPE OF A COUPLED NONLINEAR OSCILLATOR CHAIN. Acta Physica Polonica B. 39(5). 1125.3 indexed citations
7.
Denisov, S., Sigmund Kohler, & Peter Hänggi. (2008). Underdamped quantum ratchets: attractors and currents. arXiv (Cornell University).2 indexed citations
Dybiec, Bartłomiej, Ewa Gudowska–Nowak, & Peter Hänggi. (2007). Escape driven byα-stable white noises. Physical Review E. 75(2). 21109–21109.70 indexed citations
10.
Talkner, Peter, Peter Hänggi, & M. Morillo. (2007). A microcanonical quantum fluctuation theorem. arXiv (Cornell University).2 indexed citations
11.
Dunkel, Jörn, Peter Talkner, & Peter Hänggi. (2006). Haar measures, relative entropy and the relativistic canonical velocity distribution. arXiv (Cornell University).1 indexed citations
Cubero, David, et al.. (2006). Overdamped deterministic ratchets driven by multifrequency forces. OPUS (Augsburg University). 37(5). 1467.1 indexed citations
14.
Machura, Łukasz, et al.. (2006). Absolute negative mobility by forcing inertial Brownian particles in periodic potential. arXiv (Cornell University).1 indexed citations
15.
Goychuk, Igor, Els Heinsalu, Marco Patriarca, Gerhard Schmid, & Peter Hänggi. (2005). Universal scaling in anomalous transport. arXiv (Cornell University).2 indexed citations
Hänggi, Peter. (1996). Classical and Quantum Stochastic Resonance. OPUS (Augsburg University).
20.
Dittrich, Thomas, et al.. (1993). Damped periodically driven quantum transport in bistable systems. Acta Physica Polonica B. 24(4). 845–863.8 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.