Simona Olmi

1.4k citations
33 papers · 824 · h-index 16

Impact in

Papers in

Simona Olmi

32 papers receiving 811 citations

Peers

Simona Olmi
Comparison fields: 5 of 64
  • Statistical and Nonlinear Physics 391
  • Computer Networks and Communications 564
  • Cognitive Neuroscience 453
  • Cellular and Molecular Neuroscience 79
  • Energy Engineering and Power Technology 10
Replace Christian Bick with:
Christian Bick United Kingdom
Ernest Montbrió Spain
Per Sebastian Skardal United States
Juan A. Almendral Spain
Vladimir Klinshov Russia
Maosheng Wang China
Patrycja Jaros Poland
Laura Cimponeriu Greece
Mi Lv China
Kensuke Arai Japan
Simona Olmi relative to Christian Bick United Kingdom Christian Bick's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simona Olmi

Since Specialization
Citations

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

Fields of papers citing papers by Simona Olmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201088
2 201487
3 201384
4 201982
5 201570
6 201954
7 201043
8 202035
9 201234
10 202025
11 202124
12 202123
13 201721
14 201219
15 202317
16 201816
17 202414
18 201214
19 201712
20 202012

About Simona Olmi

Simona Olmi is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Control and Systems Engineering, having authored 33 papers that have together received 824 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (25 papers), Neural dynamics and brain function (20 papers), stochastic dynamics and bifurcation (17 papers), Neural Networks Stability and Synchronization (5 papers), Neuroscience and Neural Engineering (4 papers), Ecosystem dynamics and resilience (3 papers), Microgrid Control and Optimization (3 papers) and Chaos control and synchronization (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (391 citations), Computer Networks and Communications (564 citations), Cognitive Neuroscience (453 citations), Cellular and Molecular Neuroscience (79 citations) and Energy Engineering and Power Technology (10 citations). Simona Olmi has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Alessandro Torcini, Antonio Politi, A. Navas, Eckehard Schöll, Stefano Boccaletti, Viktor Jirsa, Maxime Guye, Fabrice Bartoloméi, Erik A. Martens and Shashi Thutupalli. Their work appears in journals such as Physical review. E, BMC Neuroscience, Europhysics Letters (EPL), Chaos An Interdisciplinary Journal of Nonlinear Science and PLoS Computational 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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