P. L. Krapivsky
- Statistical and Nonlinear Physics top 0.05%
- Complex Network Analysis Techniques 61
- Opinion Dynamics and Social Influence 36
- Advanced Thermodynamics and Statistical Mechanics 27
- Condensed Matter Physics top 0.5%
- Theoretical and Computational Physics 134
- Mathematical Physics top 0.2%
- Stochastic processes and statistical mechanics 124
- Modeling and Simulation top 1%
- Statistics and Probability top 1%
- Random Matrices and Applications 15
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- Diffusion and Search Dynamics 29
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- Material Dynamics and Properties 21
- Co-authors
- S. RednerE. Ben‐NaimF. LeyvrazTibor AntalL. FrachebourgYaroslav IspolatovNikolai V. BrilliantovSatya N. Majumdar
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Physical Review Letters (24 papers)The Journal of Chemical Physics (3 papers)
- Partner nations
- United StatesRussiaFrance
In The Last Decade
P. L. Krapivsky
255 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Statistical and Nonlinear Physics 4.4k
- Condensed Matter Physics 2.5k
- Mathematical Physics 1.8k
- Modeling and Simulation 206
- Statistics and Probability 287
Countries citing papers authored by P. L. Krapivsky
This map shows the geographic impact of P. L. Krapivsky'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 P. L. Krapivsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. L. Krapivsky more than expected).
Fields of papers citing papers by P. L. Krapivsky
This network shows the impact of papers produced by P. L. Krapivsky. 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 P. L. Krapivsky. The network helps show where P. L. Krapivsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. L. Krapivsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 4 | |
| 13 | 2014 | 22 | |
| 14 | 2012 | 37 | |
| 15 | Limiting Shapes of Ising Droplet, Ising Finger and Ising Soliton | 2011 | 1 |
| 16 | 2010 | 29 | |
| 17 | On the Distribution of Particle Sizes in Saturn's Rings | 2009 | 1 |
| 18 | 2004 | 40 | |
| 19 | 2002 | 45 | |
| 20 | 2001 | 21 |
About P. L. Krapivsky
P. L. Krapivsky is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistical and Nonlinear Physics, having authored 264 papers that have together received 8.1k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (134 papers), Stochastic processes and statistical mechanics (124 papers), Complex Network Analysis Techniques (61 papers), Opinion Dynamics and Social Influence (36 papers), Diffusion and Search Dynamics (29 papers), Advanced Thermodynamics and Statistical Mechanics (27 papers), Material Dynamics and Properties (21 papers) and Random Matrices and Applications (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.4k citations), Condensed Matter Physics (2.5k citations) and Mathematical Physics (1.8k citations). P. L. Krapivsky has collaborated with scholars based in United States, Russia and France. Frequent co-authors include S. Redner, E. Ben‐Naim, F. Leyvraz, Tibor Antal, L. Frachebourg, Yaroslav Ispolatov, Nikolai V. Brilliantov, Satya N. Majumdar, Kirone Mallick and G. J. Rodgers. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.
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.