A. Krawiecki

729 total citations
58 papers, 569 citations indexed

About

A. Krawiecki is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Condensed Matter Physics. According to data from OpenAlex, A. Krawiecki has authored 58 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistical and Nonlinear Physics, 29 papers in Computer Networks and Communications and 16 papers in Condensed Matter Physics. Recurrent topics in A. Krawiecki's work include Nonlinear Dynamics and Pattern Formation (28 papers), stochastic dynamics and bifurcation (27 papers) and Opinion Dynamics and Social Influence (22 papers). A. Krawiecki is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (28 papers), stochastic dynamics and bifurcation (27 papers) and Opinion Dynamics and Social Influence (22 papers). A. Krawiecki collaborates with scholars based in Poland, Germany and United Kingdom. A. Krawiecki's co-authors include Janusz A. Hołyst, Dirk Helbing, A. Sukiennicki, R.A. Kosiński, Krzysztof Kacperski, Thomas Stemler, Anna Chmiel, W. Ebeling, Lutz Schimansky-Geier and Agata Fronczak and has published in prestigious journals such as Physical Review Letters, Physics Letters A and Physica A Statistical Mechanics and its Applications.

In The Last Decade

A. Krawiecki

58 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Krawiecki Poland 12 443 214 199 113 67 58 569
Barbara Gentz Germany 10 240 0.5× 109 0.5× 21 0.1× 42 0.4× 29 0.4× 16 413
Vygintas Gontis Lithuania 14 276 0.6× 35 0.2× 316 1.6× 43 0.4× 185 2.8× 38 525
Dariusz Grech Poland 15 319 0.7× 41 0.2× 686 3.4× 102 0.9× 371 5.5× 28 769
Miquel Montero Spain 14 242 0.5× 48 0.2× 247 1.2× 41 0.4× 187 2.8× 44 683
Gao-Feng Gu China 12 389 0.9× 64 0.3× 932 4.7× 158 1.4× 489 7.3× 21 1.0k
Yup Kim South Korea 12 240 0.5× 52 0.2× 74 0.4× 204 1.8× 14 0.2× 57 481
A. Z. Górski Poland 13 163 0.4× 30 0.1× 277 1.4× 82 0.7× 72 1.1× 29 440
Rudi Schäfer Germany 14 254 0.6× 27 0.1× 356 1.8× 61 0.5× 248 3.7× 39 635
Véronique Gayrard France 10 161 0.4× 25 0.1× 63 0.3× 224 2.0× 21 0.3× 21 458
Luis G. Moyano Spain 11 227 0.5× 17 0.1× 266 1.3× 33 0.3× 162 2.4× 34 479

Countries citing papers authored by A. Krawiecki

Since Specialization
Citations

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

Fields of papers citing papers by A. Krawiecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Krawiecki

This figure shows the co-authorship network connecting the top 25 collaborators of A. Krawiecki. A scholar is included among the top collaborators of A. Krawiecki 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 A. Krawiecki. A. Krawiecki 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.
Krawiecki, A., et al.. (2023). Q-neighbor Ising model on multiplex networks with partial overlap of nodes. Physical review. E. 108(1). 14307–14307. 1 indexed citations
2.
Krawiecki, A.. (2019). Ferromagnetic Transition in a Simple Variant of the Ising Model on Multiplex Networks with Partial Overlap. Acta Physica Polonica B. 50(10). 1643–1643. 1 indexed citations
3.
Chmiel, Anna, et al.. (2018). q-Neighbor Ising model on random networks. International Journal of Modern Physics C. 29(6). 1850041–1850041. 11 indexed citations
4.
Fronczak, Agata, Piotr Fronczak, & A. Krawiecki. (2016). Minimal exactly solved model with the extreme Thouless effect. Physical review. E. 93(1). 12124–12124. 5 indexed citations
5.
Krawiecki, A., et al.. (2012). Structural Stochastic Multiresonance in Hierarchical Networks. Acta Physica Polonica A. 121(2B). B–72. 1 indexed citations
6.
Krawiecki, A., et al.. (2009). ENHANCEMENT OF STOCHASTIC RESONANCE IN SPATIALLY EXTENDED SYSTEMS BY MEANS OF DELAYED COUPLING. International Journal of Modern Physics B. 23(2). 189–198. 1 indexed citations
7.
Krawiecki, A.. (2008). Stochastic Multiresonance in the Ising Model on Scale-Free Networks. Acta Physica Polonica B. 39(5). 1103. 1 indexed citations
8.
Krawiecki, A., et al.. (2006). Analysis of phase synchronization of coupled chaotic oscillators with empirical mode decomposition. Physical Review E. 74(4). 46217–46217. 7 indexed citations
9.
Krawiecki, A., et al.. (2003). Stochastic multiresonance due to interplay between noise and fractals. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(1). 16216–16216. 13 indexed citations
10.
Krawiecki, A., Janusz A. Hołyst, & Dirk Helbing. (2002). Volatility Clustering and Scaling for Financial Time Series due to Attractor Bubbling. Physical Review Letters. 89(15). 158701–158701. 129 indexed citations
11.
Krawiecki, A. & Janusz A. Hołyst. (2002). Stochastic resonance as a model for financial market crashes and bubbles. Physica A Statistical Mechanics and its Applications. 317(3-4). 597–608. 57 indexed citations
12.
Krawiecki, A., et al.. (2001). Blowout bifurcation and stability of marginal synchronization of chaos. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(3). 36216–36216. 11 indexed citations
13.
Krawiecki, A., et al.. (2001). Noisefree stochastic multiresonance near chaotic crises. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(4). 41104–41104. 10 indexed citations
14.
Krawiecki, A., et al.. (2001). Stochastic multiresonance in a chaotic map with fractal basins of attraction. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(2). 26215–26215. 15 indexed citations
15.
Krawiecki, A. & A. Sukiennicki. (2000). Generalizations of the concept of marginal synchronization of chaos. Chaos Solitons & Fractals. 11(9). 1445–1458. 29 indexed citations
16.
Krawiecki, A., A. Sukiennicki, & R.A. Kosiński. (2000). STOCHASTIC RESONANCE IN COUPLED THRESHOLD ELEMENTS WITH INPUT SIGNALS SHIFTED IN PHASE. International Journal of Modern Physics B. 14(8). 837–852. 4 indexed citations
17.
Krawiecki, A.. (1999). Stochastic Resonance in a System of Coupled Chaotic Oscillators. Acta Physica Polonica B. 30(8). 2489. 1 indexed citations
18.
Krawiecki, A.. (1998). Stochastic Resonance in On-Off Intermittency. AcPPB. 29(6). 1589. 1 indexed citations
19.
Krawiecki, A. & A. Sukiennicki. (1998). Aperiodic stochastic resonance in chaotic maps. Chaos An Interdisciplinary Journal of Nonlinear Science. 8(4). 768–774. 6 indexed citations
20.
Krawiecki, A. & A. Sukiennicki. (1996). On-Off Intermittency in Randomly Driven Nonlinear Ferromagnetic Resonance. Acta Physica Polonica A. 89(1). 37–45. 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.

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