Daniele Linaro

2.0k total citations
49 papers, 1.3k citations indexed

About

Daniele Linaro is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Daniele Linaro has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 17 papers in Cognitive Neuroscience and 13 papers in Control and Systems Engineering. Recurrent topics in Daniele Linaro's work include Neural dynamics and brain function (17 papers), stochastic dynamics and bifurcation (12 papers) and HVDC Systems and Fault Protection (11 papers). Daniele Linaro is often cited by papers focused on Neural dynamics and brain function (17 papers), stochastic dynamics and bifurcation (12 papers) and HVDC Systems and Fault Protection (11 papers). Daniele Linaro collaborates with scholars based in Italy, Belgium and United Kingdom. Daniele Linaro's 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 and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Daniele Linaro

44 papers receiving 1.3k citations

Peers

Daniele Linaro

CMN

SNP

Krishnan Padmanabhan United States

Joël Tabak United States

Roman Borisyuk United Kingdom

Shimon Marom Israel

Edward G. Jones United States

Magnus J. E. Richardson United Kingdom

Hermann Cuntz Germany

Sheila Nirenberg United States

Christoph Kirst United States

Yasuhiko Jimbo Japan

Krishnan Padmanabhan United States

Daniele Linaro

325 ×0.6

430 ×0.9

CMN

283 ×0.6

56 ×0.2

SNP

291 ×1.3

Citations per year, relative to Daniele Linaro Daniele Linaro (= 1×) peers Krishnan Padmanabhan

Countries citing papers authored by Daniele Linaro

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Bizzarri, Federico, et al.. (2024). Inertia Estimation Through Covariance Matrix. 1–1. 1 indexed citations

Linaro, Daniele, Federico Bizzarri, Cosimo Pisani, et al.. (2023). Continuous estimation of power system inertia using convolutional neural networks. Nature Communications. 14(1). 4440–4440. 31 indexed citations

Bizzarri, Federico, et al.. (2023). An Impedance Method for Stability Analysis of Power Systems with Large Penetration of Inverter Based Resources. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 5. 1–5.

Lodi, Matteo, Federico Bizzarri, Daniele Linaro, et al.. (2020). A Nonlinear Behavioral Ferrite-Core Inductance Model Able to Reproduce Thermal Transients in Switch-Mode Power Supplies. IEEE Transactions on Circuits and Systems I Regular Papers. 67(4). 1255–1263. 12 indexed citations

Linaro, Daniele, et al.. (2020). Application of Envelope-Following Techniques to the Shooting Method. SHILAP Revista de lepidopterología. 1. 22–33. 4 indexed citations

Linaro, Daniele, Gabriel Koch Ocker, Brent Doiron, & Michèle Giugliano. (2019). Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic InputsIn Vitro. Journal of Neuroscience. 39(39). 7648–7663. 5 indexed citations

Linaro, Daniele, Ben Vermaercke, Ryohei Iwata, et al.. (2019). Xenotransplanted Human Cortical Neurons Reveal Species-Specific Development and Functional Integration into Mouse Visual Circuits. Neuron. 104(5). 972–986.e6. 118 indexed citations

Hunt, David, Daniele Linaro, Bailu Si, Sandro Romani, & Nelson Spruston. (2018). A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus. Nature Neuroscience. 21(7). 985–995. 65 indexed citations

Espuny-Camacho, Ira, Kimmo A. Michelsen, Daniele Linaro, et al.. (2018). Human Pluripotent Stem-Cell-Derived Cortical Neurons Integrate Functionally into the Lesioned Adult Murine Visual Cortex in an Area-Specific Way. Cell Reports. 23(9). 2732–2743. 52 indexed citations

10.

Linaro, Daniele, István Bíró, & Michèle Giugliano. (2017). Dynamical response properties of neocortical neurons to conductance‐driven time‐varying inputs. European Journal of Neuroscience. 47(1). 17–32. 10 indexed citations

11.

Couto, João, Daniele Linaro, Erik De Schutter, & Michèle Giugliano. (2015). On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro. PLoS Computational Biology. 11(3). e1004112–e1004112. 20 indexed citations

12.

Linaro, Daniele, João Couto, & Michèle Giugliano. (2015). Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond. Journal of Visualized Experiments. e52320–e52320. 5 indexed citations

13.

Linaro, Daniele & Marco Storace. (2015). bal: A library for the brute-force analysis of dynamical systems. Computer Physics Communications. 201. 126–134. 2 indexed citations

14.

Linaro, Daniele, João Couto, & Michèle Giugliano. (2014). Command-line cellular electrophysiology for conventional and real-time closed-loop experiments. Journal of Neuroscience Methods. 230. 5–19. 22 indexed citations

15.

Testa-Silva, Guilherme, Matthijs B Verhoog, Daniele Linaro, et al.. (2014). High Bandwidth Synaptic Communication and Frequency Tracking in Human Neocortex. PLoS Biology. 12(11). e1002007–e1002007. 108 indexed citations

16.

Espuny-Camacho, Ira, Kimmo A. Michelsen, David Gall, et al.. (2013). Pyramidal Neurons Derived from Human Pluripotent Stem Cells Integrate Efficiently into Mouse Brain Circuits In Vivo. Neuron. 77(3). 440–456. 411 indexed citations

17.

Linaro, Daniele, Marco Righero, Mario Biey, & Marco Storace. (2012). Synchronization: a tool for validating a PWL circuit that approximates the Hindmarsh-Rose neuron model. Nonlinear Theory and Its Applications IEICE. 3(2). 165–179. 1 indexed citations

18.

Linaro, Daniele, Marco Storace, & Maurizio Mattia. (2011). Inferring Network Dynamics and Neuron Properties from Population Recordings. Frontiers in Computational Neuroscience. 5. 43–43. 7 indexed citations

19.

Linaro, Daniele, Marco Storace, & Maurizio Mattia. (2011). System identification of spiking neuron networks: a model-driven approach. BMC Neuroscience. 12(S1).

20.

Linaro, Daniele, Tomaso Poggi, & Marco Storace. (2010). Experimental bifurcation diagram of a circuit-implemented neuron model. Physics Letters A. 374(45). 4589–4593. 21 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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