Fabio Stefanini

4.0k total citations · 4 hit papers
21 papers, 2.6k citations indexed

About

Fabio Stefanini is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Fabio Stefanini has authored 21 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Fabio Stefanini's work include Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (8 papers) and Memory and Neural Mechanisms (7 papers). Fabio Stefanini is often cited by papers focused on Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (8 papers) and Memory and Neural Mechanisms (7 papers). Fabio Stefanini collaborates with scholars based in Switzerland, United States and Italy. Fabio Stefanini's co-authors include Giacomo Indiveri, Ning Qiao, Andrea Cavagna, Irene Giardina, Giorgio Parisi, Raffaele Santagati, Massimiliano Viale, Elisabetta Chicca, Saber Moradi and Chiara Bartolozzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Fabio Stefanini

21 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Scale-free correlations in starling flocks

2010 715 citations Andrea Cavagna, Irene Giardina et al. Proceedings of the National Academy of Sciences profile →
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

2015 469 citations Ning Qiao, Hesham Mostafa et al. Frontiers in Neuroscience profile →
A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

2017 412 citations Saber Moradi, Ning Qiao et al. IEEE Transactions on Biomedical Circuits and Systems profile →
Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems

2014 369 citations Elisabetta Chicca, Fabio Stefanini et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Stefanini Switzerland	15	1.3k	1.0k	819	431	270	21	2.6k
Michael R. DeWeese United States	25	372 0.3×	1.8k 1.8×	916 1.1×	324 0.8×	105 0.4×	53	2.6k
Ronen Segev Israel	27	396 0.3×	2.5k 2.4×	1.4k 1.7×	373 0.9×	84 0.3×	72	3.8k
Elad Schneidman Israel	25	298 0.2×	2.4k 2.4×	1.3k 1.6×	493 1.1×	111 0.4×	51	3.8k
Fabrizio Gabbiani United States	37	492 0.4×	2.2k 2.1×	2.1k 2.5×	186 0.4×	69 0.3×	88	5.0k
Jeff Moehlis United States	32	630 0.5×	1.9k 1.9×	764 0.9×	210 0.5×	57 0.2×	115	4.5k
Andreas V. M. Herz Germany	35	538 0.4×	2.4k 2.4×	1.7k 2.1×	389 0.9×	34 0.1×	89	4.0k
David Hansel France	27	384 0.3×	1.8k 1.8×	1.4k 1.7×	295 0.7×	57 0.2×	53	2.8k
Adrienne L. Fairhall United States	30	492 0.4×	2.4k 2.3×	1.7k 2.0×	380 0.9×	20 0.1×	64	3.8k
Pablo Varona Spain	27	439 0.3×	1.9k 1.9×	639 0.8×	391 0.9×	21 0.1×	101	2.8k
Paul Tiesinga United States	31	410 0.3×	3.5k 3.5×	2.2k 2.6×	159 0.4×	46 0.2×	118	4.5k

Countries citing papers authored by Fabio Stefanini

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Stefanini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Stefanini

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fascianelli, V., et al.. (2024). Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks. Nature Communications. 15(1). 6479–6479. 11 indexed citations

Biane, Jeremy S., et al.. (2023). Neural dynamics underlying associative learning in the dorsal and ventral hippocampus. Nature Neuroscience. 26(5). 798–809. 36 indexed citations

Stefanini, Fabio, et al.. (2022). Face familiarity detection with complex synapses. iScience. 26(1). 105856–105856. 3 indexed citations

Kaufman, Matthew T., Marcus K. Benna, Mattia Rigotti, et al.. (2022). The implications of categorical and category-free mixed selectivity on representational geometries. Current Opinion in Neurobiology. 77. 102644–102644. 17 indexed citations

Stefanini, Fabio, Jessica Jimenez, Joshua H. Jennings, et al.. (2020). A Distributed Neural Code in the Dentate Gyrus and in CA1. Neuron. 107(4). 703–716.e4. 90 indexed citations

Stefanini, Fabio, et al.. (2020). Coding of social novelty in the hippocampal CA2 region and its disruption and rescue in a 22q11.2 microdeletion mouse model. Nature Neuroscience. 23(11). 1365–1375. 67 indexed citations

Woods, Nicholas I., et al.. (2020). The Dentate Gyrus Classifies Cortical Representations of Learned Stimuli. Neuron. 107(1). 173–184.e6. 46 indexed citations

Priestley, James B., Fabio Stefanini, Elizabeth M. Balough, et al.. (2020). Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory. Neuron. 107(2). 283–291.e6. 46 indexed citations

Moradi, Saber, Ning Qiao, Fabio Stefanini, & Giacomo Indiveri. (2017). A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs). IEEE Transactions on Biomedical Circuits and Systems. 12(1). 106–122. 412 indexed citations breakdown →

10.

Qiao, Ning, Hesham Mostafa, Federico Corradi, et al.. (2015). A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Frontiers in Neuroscience. 9. 141–141. 469 indexed citations breakdown →

11.

Stefanini, Fabio, Emre Neftci, Sadique Sheik, & Giacomo Indiveri. (2014). PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. Frontiers in Neuroinformatics. 8. 73–73. 17 indexed citations

12.

Mostafa, Hesham, Federico Corradi, Fabio Stefanini, & Giacomo Indiveri. (2014). A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures. 20. 854–857. 12 indexed citations

13.

Chicca, Elisabetta, Fabio Stefanini, Chiara Bartolozzi, & Giacomo Indiveri. (2014). Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE. 102(9). 1367–1388. 369 indexed citations breakdown →

14.

Cavagna, Andrea, Sı́lvio M. Duarte Queirós, Irene Giardina, Fabio Stefanini, & Massimiliano Viale. (2013). Diffusion of individual birds in starling flocks. Proceedings of the Royal Society B Biological Sciences. 280(1756). 20122484–20122484. 63 indexed citations

15.

Sheik, Sadique, Fabio Stefanini, Emre Neftci, Elisabetta Chicca, & Giacomo Indiveri. (2011). Systematic configuration and automatic tuning of neuromorphic systems. Zurich Open Repository and Archive (University of Zurich). 873–876. 10 indexed citations

16.

Cavagna, Andrea, Irene Giardina, Giorgio Parisi, et al.. (2010). Scale-free correlations in starling flocks. Proceedings of the National Academy of Sciences. 107(26). 11865–11870. 715 indexed citations breakdown →

17.

Indiveri, Giacomo, Fabio Stefanini, & Elisabetta Chicca. (2010). Spike-based learning with a generalized integrate and fire silicon neuron. Zurich Open Repository and Archive (University of Zurich). 1951–1954. 44 indexed citations

18.

Cavagna, Andrea, et al.. (2010). FROM EMPIRICAL DATA TO INTER-INDIVIDUAL INTERACTIONS: UNVEILING THE RULES OF COLLECTIVE ANIMAL BEHAVIOR. Mathematical Models and Methods in Applied Sciences. 20(supp01). 1491–1510. 68 indexed citations

19.

Beyeler, Michael, et al.. (2010). Exploring olfactory sensory networks: Simulations and hardware emulation. Zurich Open Repository and Archive (University of Zurich). 14 indexed citations

20.

Cavagna, Andrea, Irene Giardina, Alberto Orlandi, et al.. (2008). New statistical tools for analyzing the structure of animal groups. Mathematical Biosciences. 214(1-2). 32–37. 41 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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