Eugenio Piasini

1.4k total citations
18 papers, 613 citations indexed

About

Eugenio Piasini is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Eugenio Piasini has authored 18 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Sensory Systems. Recurrent topics in Eugenio Piasini's work include Neural dynamics and brain function (12 papers), Visual perception and processing mechanisms (3 papers) and Olfactory and Sensory Function Studies (3 papers). Eugenio Piasini is often cited by papers focused on Neural dynamics and brain function (12 papers), Visual perception and processing mechanisms (3 papers) and Olfactory and Sensory Function Studies (3 papers). Eugenio Piasini collaborates with scholars based in United States, Italy and United Kingdom. Eugenio Piasini's co-authors include Stefano Panzeri, Christopher D. Harvey, Caroline A. Runyan, R. Angus Silver, Tommaso Fellin, Peter E. Latham, Andrea Lőrincz, Zoltán Nusser, Robert C. Cannon and Padraig Gleeson and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Eugenio Piasini

17 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugenio Piasini United States 8 475 250 85 74 73 18 613
Baktash Babadi United States 11 488 1.0× 356 1.4× 127 1.5× 51 0.7× 34 0.5× 16 687
Klaus M. Stiefel United States 14 490 1.0× 466 1.9× 150 1.8× 177 2.4× 57 0.8× 40 852
Shabnam Kadir United Kingdom 6 804 1.7× 593 2.4× 106 1.2× 60 0.8× 38 0.5× 10 966
Camille Lamy France 4 1.1k 2.3× 254 1.0× 56 0.7× 66 0.9× 29 0.4× 5 1.2k
Timothy A. Zolnik Germany 11 348 0.7× 325 1.3× 113 1.3× 144 1.9× 38 0.5× 12 641
Charu Bai Reddy United Kingdom 7 949 2.0× 564 2.3× 63 0.7× 131 1.8× 44 0.6× 7 1.1k
Julija Krupic United Kingdom 9 759 1.6× 542 2.2× 28 0.3× 64 0.9× 69 0.9× 14 895
Robbe L. T. Goris United States 14 806 1.7× 254 1.0× 57 0.7× 67 0.9× 14 0.2× 26 876
Jorge F. Mejías Netherlands 15 818 1.7× 322 1.3× 132 1.6× 53 0.7× 44 0.6× 44 909
Dirk Jancke Germany 18 817 1.7× 426 1.7× 36 0.4× 130 1.8× 78 1.1× 36 1.0k

Countries citing papers authored by Eugenio Piasini

Since Specialization
Citations

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

Fields of papers citing papers by Eugenio Piasini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugenio Piasini

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

All Works

18 of 18 papers shown
1.
Piasini, Eugenio, et al.. (2025). How Occam’s razor guides human decision-making. eLife.
2.
Patella, Paola, et al.. (2024). A mechanosensory feedback that uncouples external and self-generated sensory responses in the olfactory cortex. Cell Reports. 43(4). 114013–114013. 4 indexed citations
3.
Piasini, Eugenio, et al.. (2023). Time as a supervisor: temporal regularity and auditory object learning. Frontiers in Computational Neuroscience. 17. 1150300–1150300. 1 indexed citations
4.
Choi, Kyuhyun, Eugenio Piasini, Nathan T. Henderson, et al.. (2023). Distributed processing for value-based choice by prelimbic circuits targeting anterior-posterior dorsal striatal subregions in male mice. Nature Communications. 14(1). 1920–1920. 12 indexed citations
5.
Piasini, Eugenio, et al.. (2023). Dynamics of cortical contrast adaptation predict perception of signals in noise. Nature Communications. 14(1). 4817–4817. 2 indexed citations
6.
Piasini, Eugenio, et al.. (2023). Unsupervised learning of mid-level visual representations. Current Opinion in Neurobiology. 84. 102834–102834. 6 indexed citations
7.
Teşileanu, Tiberiu, Eugenio Piasini, & Vijay Balasubramanian. (2022). Efficient processing of natural scenes in visual cortex. Frontiers in Cellular Neuroscience. 16. 1006703–1006703. 4 indexed citations
8.
Piasini, Eugenio, Alexandre L. S. Filipowicz, Jonathan G. Levine, & Joshua I. Gold. (2021). Embo: a Python package for empirical data analysis using the Information Bottleneck. Journal of Open Research Software. 9(1). 10–10. 1 indexed citations
9.
Piasini, Eugenio, et al.. (2021). Temporal stability of stimulus representation increases along rodent visual cortical hierarchies. Nature Communications. 12(1). 4448–4448. 26 indexed citations
10.
Molano‐Mazón, Manuel, Arno Onken, Eugenio Piasini, & Stefano Panzeri. (2018). Synthesizing Realistic Neural Population Activity Patterns Using Generative Adversarial Networks. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Runyan, Caroline A., Eugenio Piasini, Stefano Panzeri, & Christopher D. Harvey. (2017). Distinct timescales of population coding across cortex. Nature. 548(7665). 92–96. 209 indexed citations
12.
Pica, Giuseppe, Eugenio Piasini, Houman Safaai, et al.. (2017). Quantifying how much sensory information in a neural code is relevant for behavior. Neural Information Processing Systems. 30. 3686–3696. 7 indexed citations
13.
Pica, Giuseppe, Eugenio Piasini, Daniel Chicharro, & Stefano Panzeri. (2017). Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables. Entropy. 19(9). 451–451. 19 indexed citations
14.
Panzeri, Stefano, Christopher D. Harvey, Eugenio Piasini, Peter E. Latham, & Tommaso Fellin. (2017). Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior. Neuron. 93(3). 491–507. 136 indexed citations
15.
Piasini, Eugenio, et al.. (2014). Network Structure within the Cerebellar Input Layer Enables Lossless Sparse Encoding. Neuron. 83(4). 960–974. 89 indexed citations
16.
Cannon, Robert C., Padraig Gleeson, Sharon Crook, et al.. (2014). LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2. Frontiers in Neuroinformatics. 8. 79–79. 68 indexed citations
17.
Gleeson, Padraig, Matteo Cantarelli, Eugenio Piasini, & R. Angus Silver. (2013). Advanced 3D visualisation of detailed neuronal models using the Open Source Brain repository and interaction with other neuroinformatics resources. BMC Neuroscience. 14(S1). 1 indexed citations
18.
Gleeson, Padraig, Eugenio Piasini, Sharon Crook, et al.. (2012). The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience. BMC Neuroscience. 13(S1). 27 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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2026