Federico Corradi

3.0k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Federico Corradi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Federico Corradi has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 23 papers in Artificial Intelligence and 20 papers in Cognitive Neuroscience. Recurrent topics in Federico Corradi's work include Advanced Memory and Neural Computing (41 papers), Neural dynamics and brain function (18 papers) and Neural Networks and Reservoir Computing (15 papers). Federico Corradi is often cited by papers focused on Advanced Memory and Neural Computing (41 papers), Neural dynamics and brain function (18 papers) and Neural Networks and Reservoir Computing (15 papers). Federico Corradi collaborates with scholars based in Netherlands, Switzerland and Belgium. Federico Corradi's co-authors include Giacomo Indiveri, Ning Qiao, Hesham Mostafa, Fabio Stefanini, Marc Osswald, Bojian Yin, Sander M. Bohté, Tobi Delbrück, Jan Stuijt and Manolis Sifalakis and has published in prestigious journals such as Sensors, IEEE Journal of Solid-State Circuits and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Federico Corradi

46 papers receiving 1.7k citations

Hit Papers

A reconfigurable on-line learning spiking neuromorphic pr... 2015 2026 2018 2022 2015 100 200 300 400
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.

  1. A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
    2015 469 citations Hesham Mostafa, Federico Corradi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Corradi Netherlands 20 1.4k 678 550 471 233 56 1.8k
Alexander Andreopoulos United States 13 1.1k 0.7× 524 0.8× 216 0.4× 536 1.1× 601 2.6× 17 1.8k
G. Jiménez Spain 20 925 0.7× 440 0.6× 483 0.9× 177 0.4× 120 0.5× 90 1.3k
Minhao Yang Switzerland 18 984 0.7× 285 0.4× 226 0.4× 307 0.7× 251 1.1× 41 1.5k
Jason K. Eshraghian United States 20 1.2k 0.8× 527 0.8× 474 0.9× 377 0.8× 64 0.3× 97 1.7k
Alejandro Linares-Barranco Spain 26 1.7k 1.2× 669 1.0× 845 1.5× 428 0.9× 298 1.3× 132 2.3k
Saeed Reza Kheradpisheh Iran 12 1.4k 1.0× 1.0k 1.5× 345 0.6× 673 1.4× 129 0.6× 27 1.8k
Hesham Mostafa Switzerland 12 1.8k 1.3× 1.1k 1.6× 517 0.9× 780 1.7× 221 0.9× 27 2.1k
Ángel Jiménez-Fernández Spain 18 595 0.4× 301 0.4× 284 0.5× 166 0.4× 83 0.4× 76 944
Byung‐Geun Lee South Korea 21 1000 0.7× 192 0.3× 376 0.7× 176 0.4× 227 1.0× 60 1.4k
Christian Mayr Germany 21 1.3k 0.9× 528 0.8× 642 1.2× 242 0.5× 32 0.1× 131 1.5k

Countries citing papers authored by Federico Corradi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Corradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Corradi

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Corradi. A scholar is included among the top collaborators of Federico Corradi 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 Federico Corradi. Federico Corradi 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
1.
Yousefzadeh, Amirreza, et al.. (2025). Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection. Research Publications (Maastricht University). 1–8.
2.
Yin, Bojian, et al.. (2025). Hardware/Software Co-Design Optimization for Training Recurrent Neural Networks at the Edge. Journal of Low Power Electronics and Applications. 15(1). 15–15. 1 indexed citations
3.
Steinkühler, Jan, et al.. (2025). Synthetic biology meets neuromorphic computing: towards a bio-inspired olfactory perception system. Neuromorphic Computing and Engineering. 5(3). 34010–34010.
4.
Yin, Bojian, et al.. (2025). Traces propagation: memory-efficient and scalable forward-only learning in spiking neural networks. Neuromorphic Computing and Engineering. 6(1). 14002–14002.
5.
Stuijk, Sander, et al.. (2025). STEMS: Spatial-Temporal Mapping for Spiking Neural Networks. IEEE Transactions on Computers. 74(9). 2991–3002.
6.
Corradi, Federico, et al.. (2025). Neuromorphic Edge Computing: Challenges, Opportunities, and Current Solutions. TU/e Research Portal. 1–7.
7.
Yin, Bojian & Federico Corradi. (2025). Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks. TU/e Research Portal. 1–9.
8.
Corradi, Federico, et al.. (2024). Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks. TU/e Research Portal. 41–45. 2 indexed citations
9.
Corradi, Federico, et al.. (2024). NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data Processing. IEEE Transactions on Biomedical Circuits and Systems. 19(3). 523–535.
10.
Corradi, Federico, et al.. (2024). Accelerated Spiking Convolutional Neural Networks for Scalable Population Genomics. TU/e Research Portal. 53–62. 1 indexed citations
11.
Zhang, Yicheng, Manil Dev Gomony, Henk Corporaal, & Federico Corradi. (2024). A Scalable Hardware Architecture for Efficient Learning of Recurrent Neural Networks at the Edge. TU/e Research Portal. 1–4. 1 indexed citations
12.
Corradi, Federico, et al.. (2024). Unsupervised Classification of Spike Patterns with the Loihi Neuromorphic Processor. Electronics. 13(16). 3203–3203.
13.
Yin, Bojian, Federico Corradi, & Sander M. Bohté. (2023). Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. Nature Machine Intelligence. 5(5). 518–527. 38 indexed citations
14.
Corradi, Federico, et al.. (2023). Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. TU/e Research Portal. 1–6. 1 indexed citations
15.
Balaji, Adarsha, et al.. (2022). Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 1011–1016. 14 indexed citations
16.
Mostafa, Hesham, Antonio Ríos-Navarro, Ricardo Tapiador-Morales, et al.. (2018). NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. IEEE Transactions on Neural Networks and Learning Systems. 30(3). 644–656. 205 indexed citations
17.
Moeys, Diederik Paul, Daniel Neil, Federico Corradi, et al.. (2018). PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing. Zurich Open Repository and Archive (University of Zurich). 2 indexed citations
18.
19.
Corradi, Federico, et al.. (2014). Towards a Neuromorphic Vestibular System. IEEE Transactions on Biomedical Circuits and Systems. 8(5). 669–680. 12 indexed citations
20.
Mostafa, Hesham, Federico Corradi, Marc Osswald, & Giacomo Indiveri. (2013). Automated synthesis of asynchronous event-based interfaces for neuromorphic systems. 47. 1–4. 3 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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