Michał Branicki
- Polymers and Plastics top 5%
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- Quantum chaos and dynamical systems 6
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- Probabilistic and Robust Engineering Design 6
- Biomedical Engineering top 5%
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations 6
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- Wind and Air Flow Studies 5
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- Oceanographic and Atmospheric Processes 4
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- Climate variability and models 4
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- Advanced Differential Equations and Dynamical Systems 3
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- Fluid Dynamics and Turbulent Flows 3
- Co-authors
- Bartosz A. GrzybowskiAndrew J. MajdaSiowling SohH. Tarık BaytekinAlexander Z. PatashinskiBilge BaytekinStephen WigginsH. K. Moffatt
- Cited by
- Polymers and PlasticsStatistical and Nonlinear PhysicsStatistics, Probability and Uncertainty
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Michał Branicki
29 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Polymers and Plastics 381
- Statistical and Nonlinear Physics 201
- Statistics, Probability and Uncertainty 100
- Biomedical Engineering 581
- Atmospheric Science 218
Countries citing papers authored by Michał Branicki
This map shows the geographic impact of Michał Branicki'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 Michał Branicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Branicki more than expected).
Fields of papers citing papers by Michał Branicki
This network shows the impact of papers produced by Michał Branicki. 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 Michał Branicki. The network helps show where Michał Branicki may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Michał Branicki, 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 | 5 | |
| 2 | 2018 | 22 | |
| 3 | 2015 | 24 | |
| 4 | 2014 | 22 | |
| 5 | 2014 | 31 | |
| 6 | 2013 | 40 | |
| 7 | 2013 | 17 | |
| 8 | 2013 | 41 | |
| 9 | 2013 | 32 | |
| 10 | 2012 | 62 | |
| 11 | The Mosaic of Surface Charge in Contact Electrificationbreakdown → | 2011 | 718 |
| 12 | 2011 | 29 | |
| 13 | 2010 | 60 | |
| 14 | 2010 | 24 | |
| 15 | 2010 | 21 | |
| 16 | 2010 | 6 | |
| 17 | 2009 | 32 | |
| 18 | 2006 | 10 | |
| 19 | 2005 | 9 | |
| 20 | 2004 | 29 |
About Michał Branicki
Michał Branicki is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Atmospheric Science, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (6 papers), Meteorological Phenomena and Simulations (6 papers), Quantum chaos and dynamical systems (6 papers), Wind and Air Flow Studies (5 papers), Oceanographic and Atmospheric Processes (4 papers), Climate variability and models (4 papers), Advanced Differential Equations and Dynamical Systems (3 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Polymers and Plastics (381 citations), Statistical and Nonlinear Physics (201 citations) and Statistics, Probability and Uncertainty (100 citations). Michał Branicki has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Bartosz A. Grzybowski, Andrew J. Majda, Siowling Soh, H. Tarık Baytekin, Alexander Z. Patashinski, Bilge Baytekin, Stephen Wiggins, H. K. Moffatt, Siowling Soh and Nan Chen. Their work appears in journals such as Science, Journal of Fluid Mechanics and Langmuir.
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.