Chiara Mocenni

1.3k citations
65 papers · 593 indexed · h-index 14

Chiara Mocenni

60 papers receiving 580 citations

Peers

Chiara Mocenni
Comparison fields: 5 of 118
  • Statistical and Nonlinear Physics 112
  • Modeling and Simulation 26
  • Water Science and Technology 69
  • Computer Networks and Communications 84
  • Cognitive Neuroscience 71
Replace J.M.V. Grzybowski with:
J.M.V. Grzybowski Brazil
Yuhua Liu China
E. Gutiérrez de Ravé Spain
Mei Wang China
Nicholas A. James United States
Bastian Bohn Germany
Minglei Fu China
Chen Fang China
Matteo Sangiorgio Italy
Maria Francesca Carfora Italy
Chiara Mocenni relative to J.M.V. Grzybowski Brazil J.M.V. Grzybowski's profile →
Citations per field
00.5×4.7×
J.M.V. Grzybowski · 1×
Citations per year

Countries citing papers authored by Chiara Mocenni

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Mocenni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chiara Mocenni, 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 Chiara Mocenni Line = papers co-authored together Chiara Mocenni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20233
5 20230
6 202310
7 20228
8 20212
9 201611
10 201516
11 201410
12 20146
13 201323
14 20134
15 201212
16 200712
17
A Cyclostationary Neural Network Model for the Prediction of the NO2 Concentration
20066
18 20064
19 19968
20 19701

About Chiara Mocenni

Chiara Mocenni is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and General Decision Sciences, having authored 65 papers that have together received 593 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (11 papers), Evolutionary Game Theory and Cooperation (11 papers), Evolution and Genetic Dynamics (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Chaos control and synchronization (6 papers), Complex Systems and Time Series Analysis (5 papers), Opinion Dynamics and Social Influence (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (112 citations), Modeling and Simulation (26 citations) and Water Science and Technology (69 citations). Chiara Mocenni has collaborated with scholars based in Italy, Brazil and Norway. Frequent co-authors include Antonio Vicino, Angelo Facchini, Alessandro Pozzebon, Duccio Bertoni, Enrica L. Santarcangelo, Norbert Marwan, Enzo Tiezzi, W. Allegretto, Simone Paoletti and Nadia Marchettini. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and IEEE Transactions on Automatic Control.

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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