R. Mannella

5.7k total citations · 1 hit paper
171 papers, 4.3k citations indexed

About

R. Mannella is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, R. Mannella has authored 171 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Statistical and Nonlinear Physics, 64 papers in Atomic and Molecular Physics, and Optics and 51 papers in Computer Networks and Communications. Recurrent topics in R. Mannella's work include stochastic dynamics and bifurcation (87 papers), Advanced Thermodynamics and Statistical Mechanics (66 papers) and Nonlinear Dynamics and Pattern Formation (51 papers). R. Mannella is often cited by papers focused on stochastic dynamics and bifurcation (87 papers), Advanced Thermodynamics and Statistical Mechanics (66 papers) and Nonlinear Dynamics and Pattern Formation (51 papers). R. Mannella collaborates with scholars based in Italy, United Kingdom and United States. R. Mannella's co-authors include P. V. E. McClintock, N. G. Stocks, M. I. Dykman, D. G. Luchinsky, Vincenzo Palleschi, E. Arimondo, Paolo Grigolini, N. D. Stein, O. Morsch and S. M. Soskin and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

R. Mannella

165 papers receiving 4.1k citations

Hit Papers

High-fidelity quantum driving 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Mannella Italy 35 2.8k 1.5k 1.2k 511 469 171 4.3k
Ramakrishna Ramaswamy India 35 2.3k 0.8× 1.2k 0.8× 1.8k 1.5× 164 0.3× 184 0.4× 217 5.4k
José A. Carrillo United Kingdom 48 1.5k 0.6× 300 0.2× 1.0k 0.9× 134 0.3× 166 0.4× 342 9.0k
David W. McLaughlin United States 43 4.2k 1.5× 2.4k 1.7× 1.1k 0.9× 45 0.1× 143 0.3× 144 7.0k
A. Crisanti Italy 33 2.0k 0.7× 686 0.5× 504 0.4× 299 0.6× 632 1.3× 126 5.0k
M. I. Dykman United States 44 3.0k 1.1× 3.5k 2.4× 1.4k 1.2× 555 1.1× 884 1.9× 222 6.2k
Juan M. R. Parrondo Spain 34 4.0k 1.4× 1.6k 1.1× 684 0.6× 393 0.8× 721 1.5× 101 5.1k
Sudeshna Sinha India 37 2.4k 0.9× 254 0.2× 1.5k 1.2× 255 0.5× 692 1.5× 162 3.6k
Charles R. Doering United States 43 2.7k 1.0× 869 0.6× 1.1k 1.0× 632 1.2× 90 0.2× 161 7.0k
Eric Lutz Germany 36 4.6k 1.7× 3.9k 2.7× 162 0.1× 47 0.1× 2.5k 5.3× 120 6.5k
Thomas Erneux Belgium 40 2.1k 0.7× 1.8k 1.3× 3.0k 2.6× 173 0.3× 463 1.0× 241 5.8k

Countries citing papers authored by R. Mannella

Since Specialization
Citations

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

Fields of papers citing papers by R. Mannella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mannella

This figure shows the co-authorship network connecting the top 25 collaborators of R. Mannella. A scholar is included among the top collaborators of R. Mannella 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 R. Mannella. R. Mannella 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
1.
Cremisi, Federico, et al.. (2025). Criticality in neural cultures: Insights into memory and connectivity in entorhinal-hippocampal networks. Chaos Solitons & Fractals. 194. 116184–116184. 1 indexed citations
2.
Mannella, R., et al.. (2024). Dynamical behaviour of a new model for the UJT relaxation oscillator. Chaos Solitons & Fractals. 183. 114906–114906. 1 indexed citations
3.
Mazzeo, Salvatore, Benedetta Nacmias, Sandro Sorbi, et al.. (2024). Personalized modeling of Alzheimer's disease progression estimates neurodegeneration severity from EEG recordings. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(1). e12526–e12526. 7 indexed citations
5.
Cremisi, Federico, et al.. (2024). Analysis of MEA recordings in cultured neural networks. 1–5.
6.
Ricci, Emanuele, Carlo Cantile, R. Mannella, et al.. (2016). Encephalitozoon cuniculi in rabbits: Serological screening and histopathological findings. Comparative Immunology Microbiology and Infectious Diseases. 50. 54–57. 17 indexed citations
7.
Nardoni, Simona, Valentina Virginia Ebani, Filippo Fratini, et al.. (2014). Malassezia, mites and bacteria in the external ear canal of dogs and cats with otitis externa.. Slovenian Veterinary Research. 51(3). 113–118. 12 indexed citations
8.
Mannella, R., et al.. (2012). Intestinal and lung parasites in owned dogs and cats from central Italy. Veterinary Parasitology. 193(1-3). 78–84. 136 indexed citations
9.
Soskin, S. M., I. A. Khovanov, R. Mannella, et al.. (2009). Enlargement of a low-dimensional stochastic web. AIP conference proceedings. 17–20. 2 indexed citations
10.
Tomadin, Andrea, R. Mannella, & Sandro Wimberger. (2007). Many-Body Interband Tunneling as a Witness of Complex Dynamics in the Bose-Hubbard Model. Physical Review Letters. 98(13). 130402–130402. 27 indexed citations
11.
Beri, Stefano, R. Mannella, D. G. Luchinsky, Alexander Silchenko, & P. V. E. McClintock. (2005). Solution of the boundary value problem for optimal escape in continuous stochastic systems and maps. Physical Review E. 72(3). 36131–36131. 53 indexed citations
12.
Soskin, S. M., Oleg M. Yevtushenko, & R. Mannella. (2005). Divergence of the Chaotic Layer Width and Strong Acceleration of the Spatial Chaotic Transport in Periodic Systems Driven by an Adiabatic ac Force. Physical Review Letters. 95(22). 224101–224101. 17 indexed citations
13.
Mannella, R.. (2004). Quasisymplectic integrators for stochastic differential equations. Physical Review E. 69(4). 41107–41107. 39 indexed citations
14.
Soskin, S. M., Oleg M. Yevtushenko, & R. Mannella. (2002). Drastic facilitation of the onset of global chaos in a Hamiltonian system due to an extremum in eigenfrequency vs energy. arXiv (Cornell University). 1 indexed citations
15.
Stocks, N. G. & R. Mannella. (2001). Generic noise-enhanced coding in neuronal arrays. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(3). 30902–30902. 116 indexed citations
16.
Soskin, S. M., R. Mannella, Manuel Arrayás, & Alexander Silchenko. (2001). Strong enhancement of noise-induced escape by nonadiabatic periodic driving due to transient chaos. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(5). 51111–51111. 18 indexed citations
17.
Soskin, S. M., et al.. (1997). Zero-dispersion nonlinear resonance in underdamped SQUIDs.. Lancaster EPrints (Lancaster University). 1 indexed citations
18.
Dykman, M. I., D. G. Luchinsky, R. Mannella, et al.. (1995). Stochastic resonance and its provenance. Izvestiya VUZ Applied Nonlinear Dynamics. 3(3). 56–69. 1 indexed citations
19.
Dykman, M. I., D. G. Luchinsky, R. Mannella, et al.. (1994). Simulation of critical phenomena in nonlinear optical systems.. 85(1). 265–378. 4 indexed citations
20.
Mannella, R., et al.. (1994). Fractal properties of ion channels and diffusion. Mathematical Biosciences. 123(1). 77–101. 5 indexed citations

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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