Alessandro Ingrosso

706 total citations
14 papers, 341 citations indexed

About

Alessandro Ingrosso is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Alessandro Ingrosso has authored 14 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Alessandro Ingrosso's work include Neural dynamics and brain function (8 papers), Neural Networks and Applications (8 papers) and Advanced Memory and Neural Computing (3 papers). Alessandro Ingrosso is often cited by papers focused on Neural dynamics and brain function (8 papers), Neural Networks and Applications (8 papers) and Advanced Memory and Neural Computing (3 papers). Alessandro Ingrosso collaborates with scholars based in Italy, United States and Switzerland. Alessandro Ingrosso's co-authors include Riccardo Zecchina, Carlo Lucibello, Luca Saglietti, Carlo Baldassi, L. F. Abbott, Morgane Roth, Mario Dipoppa, Kenneth D. Miller, Massimo Scanziani and Andreas Keller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Neuron.

In The Last Decade

Alessandro Ingrosso

14 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alessandro Ingrosso Italy	8	160	136	58	57	45	14	341
Andrea Galluzzi Italy	9	84 0.5×	100 0.7×	82 1.4×	26 0.5×	24 0.5×	16	233
Joanna Tyrcha Sweden	10	56 0.3×	130 1.0×	86 1.5×	42 0.7×	32 0.7×	25	363
Daniele Tantari Italy	12	164 1.0×	96 0.7×	168 2.9×	7 0.1×	42 0.9×	31	431
Huawei Fan China	13	280 1.8×	158 1.2×	242 4.2×	20 0.4×	79 1.8×	27	522
Meir Griniasty Israel	7	147 0.9×	147 1.1×	130 2.2×	28 0.5×	45 1.0×	8	377
Ronny Meir Israel	10	242 1.5×	119 0.9×	51 0.9×	16 0.3×	59 1.3×	16	336
James M. Chappell Australia	12	111 0.7×	36 0.3×	102 1.8×	39 0.7×	204 4.5×	25	434
Luis F. Lago-Fernández Spain	6	78 0.5×	308 2.3×	291 5.0×	50 0.9×	24 0.5×	20	591
Stavros G. Stavrinides Greece	12	77 0.5×	103 0.8×	275 4.7×	162 2.8×	325 7.2×	92	649
D. Easwaramoorthy India	9	51 0.3×	78 0.6×	88 1.5×	8 0.1×	8 0.2×	30	364

Countries citing papers authored by Alessandro Ingrosso

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Ingrosso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Ingrosso

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

All Works

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14 of 14 papers shown

Ingrosso, Alessandro, et al.. (2025). Neural networks trained with SGD learn distributions of increasing complexity^*. Journal of Statistical Mechanics Theory and Experiment. 2025(2). 24001–24001. 1 indexed citations

Ingrosso, Alessandro, et al.. (2025). Statistical Mechanics of Transfer Learning in Fully Connected Networks in the Proportional Limit. Physical Review Letters. 134(17). 177301–177301. 3 indexed citations

Ingrosso, Alessandro & Emanuele Panizon. (2024). Machine learning at the mesoscale: A computation-dissipation bottleneck. Physical review. E. 109(1). 14132–14132. 1 indexed citations

Ingrosso, Alessandro, et al.. (2022). Input correlations impede suppression of chaos and learning in balanced firing-rate networks. PLoS Computational Biology. 18(12). e1010590–e1010590. 7 indexed citations

Ingrosso, Alessandro & Sebastian Goldt. (2022). Data-driven emergence of convolutional structure in neural networks. Proceedings of the National Academy of Sciences. 119(40). e2201854119–e2201854119. 18 indexed citations

Baker, Antoine, Alfredo Braunstein, Luca Dall’Asta, et al.. (2021). Epidemic mitigation by statistical inference from contact tracing data. Proceedings of the National Academy of Sciences. 118(32). 17 indexed citations

Ingrosso, Alessandro. (2020). Optimal learning with excitatory and inhibitory synapses. PLoS Computational Biology. 16(12). e1008536–e1008536. 3 indexed citations

Keller, Andreas, Mario Dipoppa, Morgane Roth, et al.. (2020). A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex. Neuron. 108(6). 1181–1193.e8. 76 indexed citations

Ingrosso, Alessandro & L. F. Abbott. (2019). Training dynamically balanced excitatory-inhibitory networks. PLoS ONE. 14(8). e0220547–e0220547. 32 indexed citations

10.

Saglietti, Luca, et al.. (2018). From statistical inference to a differential learning rule for stochastic neural networks. Interface Focus. 8(6). 20180033–20180033. 3 indexed citations

11.

Braunstein, Alfredo & Alessandro Ingrosso. (2016). Inference of causality in epidemics on temporal contact networks. Scientific Reports. 6(1). 27538–27538. 15 indexed citations

12.

Baldassi, Carlo, Christian Borgs, Jennifer Chayes, et al.. (2016). Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. Proceedings of the National Academy of Sciences. 113(48). E7655–E7662. 76 indexed citations

13.

Baldassi, Carlo, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, & Riccardo Zecchina. (2016). Local entropy as a measure for sampling solutions in constraint satisfaction problems. Journal of Statistical Mechanics Theory and Experiment. 2016(2). 23301–23301. 28 indexed citations

14.

Baldassi, Carlo, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, & Riccardo Zecchina. (2015). Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses. Physical Review Letters. 115(12). 128101–128101. 61 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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