Stefano Fusi

13.1k citations
126 papers · 7.4k indexed · 3 hit papers · h-index 41
Topics
Neural dynamics and brain function (84 papers)Advanced Memory and Neural Computing (50 papers)Neural Networks and Applications (27 papers)

In The Last Decade

Stefano Fusi

122 papers receiving 7.3k citations

Hit Papers

The importance of mixed selectivity in complex cognitive ...2013202620172021201320152016250500750

Peers

Stefano Fusi
Comparison fields: 5 of 164
  • Cognitive Neuroscience 5.8k
  • Cellular and Molecular Neuroscience 2.9k
  • Electrical and Electronic Engineering 2.2k
  • Artificial Intelligence 1.1k
  • Statistical and Nonlinear Physics 458
Replace Anthony M. Zador with:
Anthony M. Zador United States
Matthew E. Larkum Germany
Kevan A Martin Switzerland
Zoltán Nádasdy United States
Andreas S. Tolias United States
Ádám Kepecs United States
Yang Dan United States
Jeffrey C. Magee United States
Loren M. Frank United States
Stefano Fusi relative to Anthony M. Zador United States Anthony M. Zador's profile →
Citations per field
00.5×1.5×2.3×
Anthony M. Zador · 1×
Citations per year

Countries citing papers authored by Stefano Fusi

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Fusi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Fusi

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Fusi. A scholar is included among the top collaborators of Stefano Fusi 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 Stefano Fusi. Stefano Fusi 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
#WorkIndexed citations
1 11
2 7
3 1
4 32
5 34
6 39
7 68
8 63
9 5
10 30
11 40
12 128
13 13
14 34
15 13
16 124
17 55
18 16
19 89
20 12

About Stefano Fusi

Stefano Fusi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 126 papers that have together received 7.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (84 papers), Advanced Memory and Neural Computing (50 papers) and Neural Networks and Applications (27 papers). The work is most often cited by research in Cognitive Neuroscience (5.8k citations), Cellular and Molecular Neuroscience (2.9k citations) and Behavioral Neuroscience (173 citations). Stefano Fusi has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Mattia Rigotti, Earl K. Miller, C. Daniel Salzman, Walter Senn, L. F. Abbott, Daniel J. Amit, Xiao‐Jing Wang, Omri Barak, Melissa R. Warden and Nathaniel D. Daw. Their work appears in journals such as Nature, Science and Cell.

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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