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 →
Colloquium: Quantum fluctuation relations: Foundations and applications
2011849 citationsMichele Campisi, Peter Hänggi et al.profile →
Fluctuation theorems: Work is not an observable
2007504 citationsPeter Talkner, Peter Hänggi et al.Physical Review Eprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of Peter Talkner'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 Talkner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Talkner more than expected).
This network shows the impact of papers produced by Peter Talkner. 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 Talkner. The network helps show where Peter Talkner may publish in the future.
Co-authorship network of co-authors of Peter Talkner
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Talkner.
A scholar is included among the top collaborators of Peter Talkner 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 Talkner. Peter Talkner 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.
Venkatesh, B. Prasanna, Gentaro Watanabe, & Peter Talkner. (2020). Quantum fluctuation theorems and power measurements. Jagiellonian University Repository (Jagiellonian University).7 indexed citations
2.
Spiechowicz, Jakub, Peter Talkner, Peter Hänggi, & J. Łuczka. (2017). Non-monotonic temperature dependence of chaos-assisted diffusion in driven periodic systems. Jagiellonian University Repository (Jagiellonian University).12 indexed citations
Campisi, Michele, et al.. (2013). Comment on "logarithmic oscillators: ideal hamiltonian thermostats" Reply. Queensland's institutional digital repository (The University of Queensland). 110(2).1 indexed citations
Machura, Łukasz, et al.. (2007). Transport of Forced Quantum Motors in the Strong Friction Limit. Acta Physica Polonica B. 38(5). 1855.7 indexed citations
10.
Talkner, Peter, Peter Hänggi, & M. Morillo. (2007). A microcanonical quantum fluctuation theorem. arXiv (Cornell University).2 indexed citations
11.
Machura, Łukasz, et al.. (2006). Absolute negative mobility by forcing inertial Brownian particles in periodic potential. arXiv (Cornell University).1 indexed citations
12.
Dunkel, Jörn, Peter Talkner, & Peter Hänggi. (2006). Haar measures, relative entropy and the relativistic canonical velocity distribution. arXiv (Cornell University).1 indexed citations
Pollak, Eli & Peter Talkner. (2001). Kramers Turnover Theory for a Triple Well Potential. DORA PSI (Paul Scherrer Institute). 32(2). 361.3 indexed citations
17.
Breymann, Wolfgang, et al.. (1997). Devisenmärkte und Turbulenz. Physikalische Blätter. 53(4). 339–340.1 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.