J. Łuczka
- Statistical and Nonlinear Physics top 0.2%
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Molecular Biology
- Co-authors
- Peter HänggiJakub SpiechowiczJerzy DajkaPeter TalknerMarcin KosturŁukasz MachuraRoland BartussekAdam Gadomski
- Topics
- stochastic dynamics and bifurcation (85 papers)Advanced Thermodynamics and Statistical Mechanics (83 papers)Quantum Information and Cryptography (32 papers)
In The Last Decade
J. Łuczka
149 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 2.2k
- Atomic and Molecular Physics, and Optics 1.2k
- Artificial Intelligence 526
- Computer Networks and Communications 450
- Molecular Biology 414
Countries citing papers authored by J. Łuczka
This map shows the geographic impact of J. Łuczka'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 J. Łuczka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Łuczka more than expected).
Fields of papers citing papers by J. Łuczka
This network shows the impact of papers produced by J. Łuczka. 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 J. Łuczka. The network helps show where J. Łuczka may publish in the future.
Co-authorship network of co-authors of J. Łuczka
This figure shows the co-authorship network connecting the top 25 collaborators of J. Łuczka. A scholar is included among the top collaborators of J. Łuczka 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 J. Łuczka. J. Łuczka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | Subdiffusion via dynamical localization induced by thermal equilibrium fluctuations | 30 |
| 4 | Coexistence of absolute negative mobility and anomalous diffusion. | 41 |
| 5 | Quantum law for equipartition of energy | 1 |
| 6 | Efficiency of the SQUID ratchet driven by external current | 12 |
| 7 | Non-monotonic temperature dependence of chaos-assisted diffusion in driven periodic systems | 12 |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | 65 | |
| 12 | Heat Currents in Non-Superconducting Flux Qubits | 7 |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 146 | |
| 16 | 32 | |
| 17 | 54 | |
| 18 | 17 | |
| 19 | Kinetics of Three-Dimensional Normal Grain Growth | 1 |
| 20 | 47 |
About J. Łuczka
J. Łuczka is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 156 papers that have together received 2.9k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (85 papers), Advanced Thermodynamics and Statistical Mechanics (83 papers) and Quantum Information and Cryptography (32 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.2k citations), Atomic and Molecular Physics, and Optics (1.2k citations) and Computer Networks and Communications (450 citations). J. Łuczka has collaborated with scholars based in Poland, Germany and Czechia. Frequent co-authors include Peter Hänggi, Jakub Spiechowicz, Jerzy Dajka, Peter Talkner, Marcin Kostur, Łukasz Machura, Roland Bartussek, Adam Gadomski, Marcin Mierzejewski and Fabio Marchesoni. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.
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.