Alessandro Ingrosso

30 total papers · 699 total citations
14 papers, 335 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 335 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 Networks and Applications (8 papers), Neural dynamics and brain function (8 papers) and Advanced Memory and Neural Computing (3 papers). Alessandro Ingrosso is often cited by papers focused on Neural Networks and Applications (8 papers), Neural dynamics and brain function (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, Luca Saglietti, Carlo Baldassi, Carlo Lucibello, L. F. Abbott, Andreas Keller, Kenneth D. Miller, Mario Dipoppa, Jennifer Chayes and Christian Borgs 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

13 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alessandro Ingrosso 157 133 58 57 45 14 335
Joanna Tyrcha 55 0.4× 130 1.0× 86 1.5× 42 0.7× 32 0.7× 25 362
David I. Feinstein 189 1.2× 166 1.2× 34 0.6× 31 0.5× 52 1.2× 8 324
Ronny Meir 242 1.5× 119 0.9× 51 0.9× 16 0.3× 59 1.3× 16 336
Meir Griniasty 147 0.9× 147 1.1× 130 2.2× 28 0.5× 45 1.0× 8 377
Sarah Marzen 113 0.7× 136 1.0× 72 1.2× 35 0.6× 34 0.8× 40 333
Aonan Tang 62 0.4× 265 2.0× 92 1.6× 118 2.1× 55 1.2× 7 403
D. Easwaramoorthy 51 0.3× 78 0.6× 88 1.5× 8 0.1× 8 0.2× 30 363
S. Diederich 173 1.1× 74 0.6× 89 1.5× 8 0.1× 52 1.2× 15 375
Tongfeng Weng 164 1.0× 86 0.6× 185 3.2× 13 0.2× 37 0.8× 41 399
M. Ten Hoopen 57 0.4× 176 1.3× 71 1.2× 67 1.2× 9 0.2× 32 359

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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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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