Anna Cattani
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- Neuroscience and Neuropharmacology Research 2
- Materials Chemistry top 10%
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- Neural dynamics and brain function 10
- EEG and Brain-Computer Interfaces 3
- Functional Brain Connectivity Studies 3
- Memory and Neural Mechanisms 2
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- stochastic dynamics and bifurcation 5
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- Nonlinear Dynamics and Pattern Formation 4
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- Molecular Sensors and Ion Detection 3
- Co-authors
- Luis MoroderNolan B. HollandHermann E. GaubMarkus SeitzThorsten HugelAntonella Dalla CortLuigi MandoliniStefano Panzeri
- Cited by
- Atomic and Molecular Physics, and OpticsCellular and Molecular NeurosciencePhysical and Theoretical Chemistry
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Anna Cattani
18 papers receiving 847 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Atomic and Molecular Physics, and Optics 262
- Cellular and Molecular Neuroscience 148
- Physical and Theoretical Chemistry 70
- Materials Chemistry 357
- Structural Biology 8
Countries citing papers authored by Anna Cattani
This map shows the geographic impact of Anna Cattani'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 Anna Cattani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Cattani more than expected).
Fields of papers citing papers by Anna Cattani
This network shows the impact of papers produced by Anna Cattani. 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 Anna Cattani. The network helps show where Anna Cattani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Cattani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 39 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 7 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 13 | |
| 10 | 2016 | 2 | |
| 11 | 2013 | 9 | |
| 12 | 2013 | 1 | |
| 13 | 2011 | 2 | |
| 14 | Single-Molecule Optomechanical Cyclebreakdown → | 2002 | 693 |
| 15 | Metallo-supramolecular fullerene assemblies and polymers | 2000 | 5 |
| 16 | 1999 | 4 | |
| 17 | 1999 | 4 | |
| 18 | 1995 | 27 |
About Anna Cattani
Anna Cattani is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Spectroscopy, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 863 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Molecular Sensors and Ion Detection (3 papers), EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (262 citations), Cellular and Molecular Neuroscience (148 citations), Physical and Theoretical Chemistry (70 citations), Materials Chemistry (357 citations) and Structural Biology (8 citations). Anna Cattani has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Luis Moroder, Nolan B. Holland, Hermann E. Gaub, Markus Seitz, Thorsten Hugel, Antonella Dalla Cort, Luigi Mandolini, Stefano Panzeri, Marcello Massimini and Andrea Pigorini. Their work appears in journals such as eLife, Tetrahedron, NeuroImage, Journal of Computational Neuroscience and Brain stimulation.
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.