Massimo Cencini

4.1k citations
92 papers · 2.6k indexed · h-index 26

Impact in

Papers in

Massimo Cencini

91 papers receiving 2.6k citations

Peers

Massimo Cencini
Comparison fields: 5 of 114
  • Earth-Surface Processes 487
  • Ocean Engineering 995
  • Computational Mechanics 1.1k
  • Statistical and Nonlinear Physics 588
  • Condensed Matter Physics 413
Replace Nicholas T. Ouellette with:
Nicholas T. Ouellette United States
Antonio Celani Italy
J.-F. Pinton France
Alain Pumir France
E. J. Hopfinger France
Andrea Mazzino Italy
C. Laroche France
S. Musacchio Italy
Nicolas Mordant France
Neil J. Balmforth Canada
Massimo Cencini relative to Nicholas T. Ouellette United States Nicholas T. Ouellette's profile →
Citations per field
00.5×1.5×1.8×
Nicholas T. Ouellette · 1×
Citations per year

Countries citing papers authored by Massimo Cencini

Since Specialization
Citations

This map shows the geographic impact of Massimo Cencini'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 Massimo Cencini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Cencini more than expected).

Fields of papers citing papers by Massimo Cencini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Cencini. 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 Massimo Cencini. The network helps show where Massimo Cencini may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Massimo Cencini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Cencini Line = papers co-authored together Massimo Cencini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20236
3 20238
4 20236
5 20225
6 20205
7 201811
8 20189
9 201811
10 20166
11 201515
12 201413
13 2013214
14 200866
15 2007264
16
Time scales of particle clustering in turbulent flows
20061
17 200544
18 200115
19 200116
20
A nonlinear marginal stability criterion for information propagation
20001

About Massimo Cencini

Massimo Cencini is a scholar working on Statistical and Nonlinear Physics, Ocean Engineering, Computational Mechanics, Condensed Matter Physics and Earth-Surface Processes, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (32 papers), Particle Dynamics in Fluid Flows (27 papers), Micro and Nano Robotics (12 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Chaos control and synchronization (12 papers), Quantum chaos and dynamical systems (10 papers) and Complex Systems and Time Series Analysis (9 papers). The work is most often cited by research in Earth-Surface Processes (487 citations), Ocean Engineering (995 citations), Computational Mechanics (1.1k citations), Statistical and Nonlinear Physics (588 citations) and Condensed Matter Physics (413 citations). Massimo Cencini has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Angelo Vulpiani, G. Boffetta, Jérémie Bec, Federico Toschi, Antonio Celani, Alessandra S. Lanotte, Luca Biferale, S. Musacchio, Fabio Cecconi and F. De Lillo. Their work appears in journals such as Physical Review Letters, Physics of Fluids, Physical review. E, Physica D Nonlinear Phenomena and Journal of Theoretical Biology.

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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