Alessandro Treves

15.0k total citations · 5 hit papers
143 papers, 10.0k citations indexed

About

Alessandro Treves is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Alessandro Treves has authored 143 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Cognitive Neuroscience, 66 papers in Cellular and Molecular Neuroscience and 45 papers in Artificial Intelligence. Recurrent topics in Alessandro Treves's work include Neural dynamics and brain function (103 papers), Neuroscience and Neuropharmacology Research (56 papers) and Memory and Neural Mechanisms (51 papers). Alessandro Treves is often cited by papers focused on Neural dynamics and brain function (103 papers), Neuroscience and Neuropharmacology Research (56 papers) and Memory and Neural Mechanisms (51 papers). Alessandro Treves collaborates with scholars based in Italy, United Kingdom and Norway. Alessandro Treves's co-authors include Edmund T. Rolls, Stefano Panzeri, Edvard I Moser, May‐Britt Moser, Martin J. Tovée, Stefan Leutgeb, Jill K. Leutgeb, Emilio Kropff, Raymond J. Dolan and Marianne Fyhn and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Alessandro Treves

142 papers receiving 9.8k citations

Hit Papers

Computational analysis of the role of the hippocampus in ... 1992 2026 2003 2014 1994 1997 2004 1992 2007 250 500 750

Peers

Alessandro Treves
Comparison fields: 5 of 169
  • Cognitive Neuroscience 8.8k
  • Cellular and Molecular Neuroscience 5.3k
  • Artificial Intelligence 1.2k
  • Electrical and Electronic Engineering 756
  • Neurology 670
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Citations per field, relative to Alessandro Treves
Alessandro Treves · 1×
Citations per year, relative to Alessandro Treves
Alessandro Treves · 1×

Countries citing papers authored by Alessandro Treves

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Treves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Treves

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Treves. A scholar is included among the top collaborators of Alessandro Treves 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 Treves. Alessandro Treves 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
# Work Indexed citations
1 3
2 4
3 21
4 6
5 13
6 9
7 11
8 35
9 171
10
Hippocampal remapping and grid realignment in entorhinal cortex breakdown →
506
11 7
12 16
13 248
14
Distinct Ensemble Codes in Hippocampal Areas CA3 and CA1 breakdown →
547
15 35
16 39
17 448
18 16
19 3
20 3

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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