A. Krawiecki

738 citations
58 papers · 580 · h-index 12

Impact in

Papers in

A. Krawiecki

58 papers receiving 564 citations

Peers

A. Krawiecki
Comparison fields: 5 of 60
  • Statistical and Nonlinear Physics 452
  • Condensed Matter Physics 112
  • Computer Networks and Communications 213
  • Economics and Econometrics 201
  • Finance 68
Replace Vygintas Gontis with:
Vygintas Gontis Lithuania
Barbara Gentz Germany
Véronique Gayrard France
Dariusz Grech Poland
Miquel Montero Spain
Małgorzata M. Kłosek United States
Yup Kim South Korea
Shoaleh Ghashghaie Switzerland
Xiong-Fei Jiang China
Davide Cellai Ireland
A. Krawiecki relative to Vygintas Gontis Lithuania Vygintas Gontis's profile →
Citations per field
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Vygintas Gontis · 1×
Citations per year

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-authors

The 12 scholars most cited alongside A. Krawiecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Krawiecki Line = papers co-authored together A. Krawiecki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002132
2 200257
3 200529
4 200029
5 201820
6 201420
7 202018
8 200016
9 200115
10 200313
11 201811
12 200111
13 200510
14 199510
15 200110
16 201510
17 200310
18 200910
19 20199
20 20039

About A. Krawiecki

A. Krawiecki is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Condensed Matter Physics, Economics and Econometrics and Atomic and Molecular Physics, and Optics, having authored 58 papers that have together received 580 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (28 papers), stochastic dynamics and bifurcation (27 papers), Opinion Dynamics and Social Influence (22 papers), Theoretical and Computational Physics (16 papers), Complex Network Analysis Techniques (16 papers), Chaos control and synchronization (12 papers), Quantum chaos and dynamical systems (7 papers) and Complex Systems and Time Series Analysis (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (452 citations), Condensed Matter Physics (112 citations), Computer Networks and Communications (213 citations), Economics and Econometrics (201 citations) and Finance (68 citations). A. Krawiecki has collaborated with scholars based in Poland, Germany and United Kingdom. Frequent co-authors include Janusz A. Hołyst, Dirk Helbing, A. Sukiennicki, R.A. Kosiński, Krzysztof Kacperski, Anna Chmiel, Thomas Stemler, Lutz Schimansky-Geier, W. Ebeling and Piotr Fronczak. Their work appears in journals such as Chaos Solitons & Fractals, Physica A Statistical Mechanics and its Applications, Physical review. E, The European Physical Journal B and International Journal of Modern Physics C.

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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