Gianluigi Mongillo
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 17
- Memory and Neural Mechanisms 2
- Face Recognition and Perception 1
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- Neuroscience and Neuropharmacology Research 8
- Neuroscience and Neural Engineering 3
- Photoreceptor and optogenetics research 2
- Neurobiology and Insect Physiology Research 2
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- Advanced Memory and Neural Computing 11
- Artificial Intelligence top 5%
Gianluigi Mongillo
20 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 1.3k
- Cellular and Molecular Neuroscience 656
- Statistical and Nonlinear Physics 146
- Electrical and Electronic Engineering 436
- Artificial Intelligence 203
Countries citing papers authored by Gianluigi Mongillo
This map shows the geographic impact of Gianluigi Mongillo'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 Gianluigi Mongillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluigi Mongillo more than expected).
Fields of papers citing papers by Gianluigi Mongillo
This network shows the impact of papers produced by Gianluigi Mongillo. 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 Gianluigi Mongillo. The network helps show where Gianluigi Mongillo may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Gianluigi Mongillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 3 | |
| 2 | 2020 | 11 | |
| 3 | 2018 | 86 | |
| 4 | 2017 | 4 | |
| 5 | 2017 | 66 | |
| 6 | 2016 | 14 | |
| 7 | 2015 | 5 | |
| 8 | 2015 | 10 | |
| 9 | 2014 | 2 | |
| 10 | 2014 | 21 | |
| 11 | 2012 | 49 | |
| 12 | 2011 | 138 | |
| 13 | 2008 | 70 | |
| 14 | Synaptic Theory of Working Memorybreakdown → | 2008 | 799 |
| 15 | 2006 | 28 | |
| 16 | 2005 | 33 | |
| 17 | 2004 | 25 | |
| 18 | 2003 | 82 | |
| 19 | 2003 | 56 | |
| 20 | 2001 | 8 |
About Gianluigi Mongillo
Gianluigi Mongillo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, General Decision Sciences, Sensory Systems and Electrical and Electronic Engineering, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Advanced Memory and Neural Computing (11 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroscience and Neural Engineering (3 papers), Photoreceptor and optogenetics research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Memory and Neural Mechanisms (2 papers) and Face Recognition and Perception (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Cellular and Molecular Neuroscience (656 citations), Statistical and Nonlinear Physics (146 citations), Electrical and Electronic Engineering (436 citations) and Artificial Intelligence (203 citations). Gianluigi Mongillo has collaborated with scholars based in France, Israel and Italy. Frequent co-authors include Misha Tsodyks, Omri Barak, Daniel J. Amit, Yonatan Loewenstein, Simon Rumpel, David Hansel, Carl van Vreeswijk, Sophie Denève, Nicolas Brunel and Nicolas Brunel. Their work appears in journals such as Neural Computation, European Journal of Neuroscience, Journal of Computational Neuroscience, Proceedings of the IEEE and Current Biology.
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.