Fabio Anselmi
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics 6
- Physiology top 5%
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 9
- Visual perception and processing mechanisms 6
- Face Recognition and Perception 4
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- Neural Networks and Applications 7
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- Connexins and lens biology 4
- Single-cell and spatial transcriptomics 2
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- Immune Cell Function and Interaction 3
- Co-authors
- Fabio MammanoTomaso PoggioGiulia CrispinoSaida OrtolanoLorenzo RosascoHoward M. WisemanAntonella ViolaStephen D. Roper
- Journals
- PLoS Computational Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)IEEE Access (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Fabio Anselmi
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Sensory Systems 298
- Physiology 91
- Endocrine and Autonomic Systems 124
- Computational Mathematics 6
- Cognitive Neuroscience 168
Countries citing papers authored by Fabio Anselmi
This map shows the geographic impact of Fabio Anselmi'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 Anselmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Anselmi more than expected).
Fields of papers citing papers by Fabio Anselmi
This network shows the impact of papers produced by Fabio Anselmi. 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 Anselmi. The network helps show where Fabio Anselmi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabio Anselmi, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2016 | 34 | |
| 11 | Visual Cortex and Deep Networks: Learning Invariant Representations | 2016 | 18 |
| 12 | 2016 | 27 | |
| 13 | 2015 | 42 | |
| 14 | 2015 | 23 | |
| 15 | 2014 | 55 | |
| 16 | 2010 | 50 | |
| 17 | 2009 | 1 | |
| 18 | 2008 | 88 | |
| 19 | 2007 | 44 | |
| 20 | 1988 | 25 |
About Fabio Anselmi
Fabio Anselmi is a scholar working on Sensory Systems, Cognitive Neuroscience and Artificial Intelligence, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neural Networks and Applications (7 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers), Visual perception and processing mechanisms (6 papers), Face Recognition and Perception (4 papers), Connexins and lens biology (4 papers), Immune Cell Function and Interaction (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Sensory Systems (298 citations), Physiology (91 citations) and Endocrine and Autonomic Systems (124 citations). Fabio Anselmi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Fabio Mammano, Tomaso Poggio, Giulia Crispino, Saida Ortolano, Lorenzo Rosasco, Howard M. Wiseman, Antonella Viola, Stephen D. Roper, William D. Richardson and Victor H. Hernández. Their work appears in journals such as PLoS Computational Biology, Proceedings of the National Academy of Sciences, IEEE Access, The EMBO Journal and Theoretical Computer Science.
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.