Z. Burda
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Noncommutative and Quantum Gravity Theories
- Statistics and Probability top 1%
- Random Matrices and Applications
Papers in
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- Theoretical and Computational Physics 37
-
- Complex Network Analysis Techniques 25
- Opinion Dynamics and Social Influence 11
- Co-authors
- A. Krzywicki (16 shared papers)J. Jurkiewicz (32 shared papers)Bartłomiej Waclaw (16 shared papers)P. Białas (14 shared papers)Maciej A. Nowak (16 shared papers)D.A. Johnston (9 shared papers)B. Petersson (8 shared papers)Andrzej Jarosz (6 shared papers)
In The Last Decade
Z. Burda
98 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 910
- Statistics and Probability 482
- Mathematical Physics 445
- Discrete Mathematics and Combinatorics 147
- Condensed Matter Physics 464
Countries citing papers authored by Z. Burda
This map shows the geographic impact of Z. Burda'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 Z. Burda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Burda more than expected).
Fields of papers citing papers by Z. Burda
This network shows the impact of papers produced by Z. Burda. 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 Z. Burda. The network helps show where Z. Burda may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. Burda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 134 | |
| 2 | 2001 | 116 | |
| 3 | 1996 | 81 | |
| 4 | 2003 | 80 | |
| 5 | 2002 | 80 | |
| 6 | 1997 | 73 | |
| 7 | 2004 | 67 | |
| 8 | 2010 | 58 | |
| 9 | 2010 | 58 | |
| 10 | 2011 | 57 | |
| 11 | 2004 | 47 | |
| 12 | Is Econophysics a solid science | 2003 | 42 |
| 13 | 1997 | 37 | |
| 14 | 1996 | 36 | |
| 15 | 2004 | 36 | |
| 16 | 2005 | 32 | |
| 17 | 2002 | 31 | |
| 18 | 2014 | 29 | |
| 19 | 2005 | 27 | |
| 20 | 2000 | 26 |
About Z. Burda
Z. Burda is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Mathematical Physics, Statistics and Probability and Nuclear and High Energy Physics, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (37 papers), Stochastic processes and statistical mechanics (29 papers), Random Matrices and Applications (27 papers), Complex Network Analysis Techniques (25 papers), Complex Systems and Time Series Analysis (16 papers), Black Holes and Theoretical Physics (15 papers), Advanced Combinatorial Mathematics (12 papers) and Opinion Dynamics and Social Influence (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (910 citations), Statistics and Probability (482 citations), Mathematical Physics (445 citations), Discrete Mathematics and Combinatorics (147 citations) and Condensed Matter Physics (464 citations). Z. Burda has collaborated with scholars based in Poland, Germany and France. Frequent co-authors include A. Krzywicki, J. Jurkiewicz, Bartłomiej Waclaw, P. Białas, Maciej A. Nowak, D.A. Johnston, B. Petersson, Andrzej Jarosz, João D. G. Correia and J. M. Luck. Their work appears in journals such as Physics Letters B, Physical review. E, Nuclear Physics B, Physica A Statistical Mechanics and its Applications and Computer Physics Communications.
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.