Małgorzata J. Krawczyk
- Statistical and Nonlinear Physics top 5%
- Condensed Matter Physics
- Sociology and Political Science
- Economics and Econometrics
- Cellular and Molecular Neuroscience
- Co-authors
- K. KułakowskiPablo BenalcazarJacek KamińskiMonika RudzińskaAndrzej SzczudlikMagdalena Wójcik-PędziwiatrJózef DulakJanusz Mucha
- Topics
- Opinion Dynamics and Social Influence (27 papers)Complex Network Analysis Techniques (23 papers)Theoretical and Computational Physics (9 papers)
In The Last Decade
Małgorzata J. Krawczyk
45 papers receiving 281 citations
Peers
Comparison fields: 5 of 79
- Statistical and Nonlinear Physics 138
- Condensed Matter Physics 42
- Sociology and Political Science 41
- Economics and Econometrics 35
- Cellular and Molecular Neuroscience 29
Countries citing papers authored by Małgorzata J. Krawczyk
This map shows the geographic impact of Małgorzata J. Krawczyk'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 Małgorzata J. Krawczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata J. Krawczyk more than expected).
Fields of papers citing papers by Małgorzata J. Krawczyk
This network shows the impact of papers produced by Małgorzata J. Krawczyk. 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 Małgorzata J. Krawczyk. The network helps show where Małgorzata J. Krawczyk may publish in the future.
Co-authorship network of co-authors of Małgorzata J. Krawczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata J. Krawczyk. A scholar is included among the top collaborators of Małgorzata J. Krawczyk 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 Małgorzata J. Krawczyk. Małgorzata J. Krawczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 22 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | Guzy ośrodkowego układu nerwowego u dzieci - trudności diagnostyczne | 0 |
| 14 | 15 | |
| 15 | 18 | |
| 16 | Gel Electrophoresis of DNA --- New Measurements and the Repton Model at High Fields | 3 |
| 17 | 3 | |
| 18 | 8 | |
| 19 | Gel Electrophoresis at High Fields | 0 |
| 20 | 6 |
About Małgorzata J. Krawczyk
Małgorzata J. Krawczyk is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Structural Biology, having authored 52 papers that have together received 290 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (27 papers), Complex Network Analysis Techniques (23 papers) and Theoretical and Computational Physics (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (138 citations), Condensed Matter Physics (42 citations) and Neurology (29 citations). Małgorzata J. Krawczyk has collaborated with scholars based in Poland, Austria and Belgium. Frequent co-authors include K. Kułakowski, Pablo Benalcazar, Jacek Kamiński, Monika Rudzińska, Andrzej Szczudlik, Magdalena Wójcik-Pędziwiatr, Józef Dulak, Janusz Mucha, Krzysztof Malarz and Lev Muchnik. Their work appears in journals such as PLoS ONE, Physical Review B and Scientific Reports.
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.