Daniele Linaro
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 2%
- Developmental Neuroscience top 2%
- Co-authors
- Marco StoraceMichèle GiuglianoEnno de LangeAngéline BilheuPierre VanderhaeghenAngelo BrambillaFederico BizzarriDavid Gall
- Topics
- Neural dynamics and brain function (17 papers)stochastic dynamics and bifurcation (12 papers)HVDC Systems and Fault Protection (11 papers)
- Cited by
- Developmental NeuroscienceStatistical and Nonlinear PhysicsCellular and Molecular Neuroscience
- Partner nations
- ItalyBelgiumUnited Kingdom
In The Last Decade
Daniele Linaro
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 526
- Cellular and Molecular Neuroscience 485
- Cognitive Neuroscience 480
- Statistical and Nonlinear Physics 327
- Developmental Neuroscience 232
Countries citing papers authored by Daniele Linaro
This map shows the geographic impact of Daniele Linaro'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 Daniele Linaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Linaro more than expected).
Fields of papers citing papers by Daniele Linaro
This network shows the impact of papers produced by Daniele Linaro. 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 Daniele Linaro. The network helps show where Daniele Linaro may publish in the future.
Co-authorship network of co-authors of Daniele Linaro
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Linaro. A scholar is included among the top collaborators of Daniele Linaro 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 Daniele Linaro. Daniele Linaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 31 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 118 | |
| 8 | 65 | |
| 9 | 52 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 108 | |
| 16 | 411 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 0 | |
| 20 | 21 |
About Daniele Linaro
Daniele Linaro is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Developmental Neuroscience, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), stochastic dynamics and bifurcation (12 papers) and HVDC Systems and Fault Protection (11 papers). The work is most often cited by research in Developmental Neuroscience (232 citations), Statistical and Nonlinear Physics (327 citations) and Cellular and Molecular Neuroscience (485 citations). Daniele Linaro has collaborated with scholars based in Italy, Belgium and United Kingdom. Frequent co-authors include Marco Storace, Michèle Giugliano, Enno de Lange, Angéline Bilheu, Pierre Vanderhaeghen, Angelo Brambilla, Federico Bizzarri, David Gall, Afsaneh Gaillard and Ira Espuny-Camacho. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.
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.