Michał Branicki

1.7k citations
29 papers · 1.4k indexed · 1 hit paper · h-index 18
Topics
Probabilistic and Robust Engineering Design (6 papers)Meteorological Phenomena and Simulations (6 papers)Quantum chaos and dynamical systems (6 papers)

In The Last Decade

Michał Branicki

29 papers receiving 1.3k citations

Hit Papers

The Mosaic of Surface Charge in Contact Electrification20112026201620212011200400600

Peers

Michał Branicki
Comparison fields: 5 of 87
  • Biomedical Engineering 581
  • Polymers and Plastics 381
  • Atmospheric Science 218
  • Electrical and Electronic Engineering 218
  • Statistical and Nonlinear Physics 201
Replace In Seok Kang with:
In Seok Kang South Korea
Robert J. Thompson United States
Leonard M. Hanssen United States
Francisco J. García-Sánchez Venezuela
L. M. B. C. Campos Portugal
Xiaofan Li United States
L.B. Kiss Hungary
Wei Li China
H. Ono Japan
Hua Li China
Michał Branicki relative to In Seok Kang South Korea In Seok Kang's profile →
Citations per field
00.5×5.9×
In Seok Kang · 1×
Citations per year

Countries citing papers authored by Michał Branicki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Michał Branicki

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Branicki. A scholar is included among the top collaborators of Michał Branicki 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 Michał Branicki. Michał Branicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 22
3 24
4 22
5 31
6 40
7 17
8 41
9 32
10 62
11
The Mosaic of Surface Charge in Contact Electrificationbreakdown →
718
12 29
13 60
14 24
15 21
16 6
17 32
18 10
19 9
20 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) and Quantum chaos and dynamical systems (6 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.

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