Giovanni Naldi

1.9k total citations
76 papers, 1.2k citations indexed

About

Giovanni Naldi is a scholar working on Computational Mechanics, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Giovanni Naldi has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 13 papers in Cellular and Molecular Neuroscience and 12 papers in Cognitive Neuroscience. Recurrent topics in Giovanni Naldi's work include Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (8 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Giovanni Naldi is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (8 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Giovanni Naldi collaborates with scholars based in Italy, India and United States. Giovanni Naldi's co-authors include Lorenzo Pareschi, Giuseppe Toscani, Egidio D’Angelo, Silvia Bertoluzza, Shyam Diwakar, Thierry Nieus, Giacomo Aletti, Vanni Taglietti, Simona Armano and Paolo Venini and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Giovanni Naldi

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giovanni Naldi Italy 15 287 274 227 184 173 76 1.2k
Stephan A. van Gils Netherlands 23 233 0.8× 261 1.0× 32 0.1× 30 0.2× 427 2.5× 78 1.6k
Christian Engwer Germany 20 52 0.2× 174 0.6× 437 1.9× 25 0.1× 63 0.4× 46 1.3k
Paolo Arena Italy 21 237 0.8× 380 1.4× 24 0.1× 29 0.2× 326 1.9× 161 1.9k
Hil G. E. Meijer Netherlands 18 237 0.8× 302 1.1× 31 0.1× 29 0.2× 400 2.3× 66 1.3k
Weizhong Dai United States 27 74 0.3× 93 0.3× 694 3.1× 10 0.1× 293 1.7× 172 2.4k
Jr-Shin Li United States 23 153 0.5× 283 1.0× 23 0.1× 11 0.1× 338 2.0× 109 1.8k
Avi Caspi Israel 21 812 2.8× 484 1.8× 14 0.1× 38 0.2× 192 1.1× 82 2.3k
Steven J. Cox United States 23 85 0.3× 192 0.7× 149 0.7× 4 0.0× 193 1.1× 65 1.5k
Oren E. Livne United States 11 18 0.1× 128 0.5× 246 1.1× 73 0.4× 53 0.3× 20 692
Christopher J. Rozell United States 22 183 0.6× 410 1.5× 436 1.9× 21 0.1× 45 0.3× 107 1.7k

Countries citing papers authored by Giovanni Naldi

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Naldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Naldi

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Naldi. A scholar is included among the top collaborators of Giovanni Naldi 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 Giovanni Naldi. Giovanni Naldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Causin, Paola, et al.. (2023). Mathematical and numerical challenges in diffuse optical tomography inverse problems. Discrete and Continuous Dynamical Systems - S. 17(1). 421–461. 2 indexed citations
2.
Aletti, Giacomo, et al.. (2022). A NEW NONLOCAL NONLINEAR DIFFUSION EQUATION: THE ONE-DIMENSIONAL CASE. Bulletin of the Australian Mathematical Society. 106(2). 333–339. 1 indexed citations
3.
Aletti, Giacomo, et al.. (2021). A Semi-Supervised Reduced-Space Method for Hyperspectral Imaging Segmentation. Journal of Imaging. 7(12). 267–267. 7 indexed citations
4.
Aletti, Giacomo, et al.. (2021). Graph, Spectra, Control and Epidemics: An Example with a SEIR Model. Mathematics. 9(22). 2987–2987. 3 indexed citations
5.
Aletti, Giacomo, et al.. (2021). A Semiautomatic Multi-Label Color Image Segmentation Coupling Dirichlet Problem and Colour Distances. Journal of Imaging. 7(10). 208–208. 10 indexed citations
6.
Micheletti, Alessandra, Matteo Zignani, Alessandro Comunian, et al.. (2021). CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region. PLoS ONE. 16(2). e0247854–e0247854. 13 indexed citations
7.
Naldi, Giovanni, et al.. (2019). Mathematical study of a nonlinear neuron model with active dendrites. AIMS Mathematics. 4(3). 831–846. 4 indexed citations
8.
Palazzolo, Gemma, Monica Moroni, Giacomo Aletti, et al.. (2017). Fast wide-volume functional imaging of engineered in vitro brain tissues. Scientific Reports. 7(1). 8499–8499. 22 indexed citations
9.
Nair, Bipin G., et al.. (2016). Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim. Frontiers in Computational Neuroscience. 10. 65–65. 42 indexed citations
10.
Tomatis, Stefano, T. Rancati, C. Fiorino, et al.. (2012). Late rectal bleeding after 3D-CRT for prostate cancer: development of a neural-network-based predictive model. Physics in Medicine and Biology. 57(5). 1399–1412. 35 indexed citations
11.
Semplice, Matteo, et al.. (2012). A Bistable Model of Cell Polarity. PLoS ONE. 7(2). e30977–e30977. 29 indexed citations
12.
Diwakar, Shyam, Paola Lombardo, Sergio Solinas, Giovanni Naldi, & Egidio D’Angelo. (2011). Local Field Potential Modeling Predicts Dense Activation in Cerebellar Granule Cells Clusters under LTP and LTD Control. PLoS ONE. 6(7). e21928–e21928. 46 indexed citations
13.
Cavalli, Fausto & Giovanni Naldi. (2010). A Wasserstein approach to the numerical solution of the one-dimensional Cahn-Hilliard equation. Kinetic and Related Models. 3(1). 123–142. 6 indexed citations
14.
Cavalli, Fausto, Giovanni Naldi, Gabriella Puppo, & Matteo Semplice. (2009). Relaxed schemes based on diffusive relaxation for hyperbolic-parabolic problems: some new developments. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
15.
Cavalli, Fausto, Giovanni Naldi, Gabriella Puppo, & Matteo Semplice. (2009). A Family of Relaxation Schemes for Nonlinear Convection Diffusion Problems. Communications in Computational Physics. 5. 532–545. 2 indexed citations
16.
Diwakar, Shyam, Jacopo Magistretti, Mitchell Goldfarb, Giovanni Naldi, & Egidio D’Angelo. (2008). Axonal Na+Channels Ensure Fast Spike Activation and Back-Propagation in Cerebellar Granule Cells. Journal of Neurophysiology. 101(2). 519–532. 88 indexed citations
17.
Naldi, Giovanni & Konstantinos D. Magliveras. (2006). The African Court of Justice. The Journal of Organic Chemistry. 67(4). 1392–5. 2 indexed citations
18.
Naldi, Giovanni & Lorenzo Pareschi. (1998). Numerical schemes for kinetic equations in diffusive regimes. Applied Mathematics Letters. 11(2). 29–35. 41 indexed citations
19.
Bertoluzza, Silvia & Giovanni Naldi. (1996). A Wavelet Collocation Method for the Numerical Solution of Partial Differential Equations. Applied and Computational Harmonic Analysis. 3(1). 1–9. 98 indexed citations
20.
Cantore, Giuseppe, et al.. (1986). A STEAM-GAS COMBINED PLANTS OPTIMIZATION. IRIS UNIMORE (University of Modena and Reggio Emilia). 1. 129–135. 1 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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