Francesco Galluppi
- Electrical and Electronic Engineering top 2%
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Artificial Intelligence top 2%
- Molecular Biology
- Co-authors
- Steve FurberLuis A. PlanaSteve TempleRyad BenosmanXavier LagorceGarrick OrchardBertram E. ShiCameron Patterson
- Topics
- Advanced Memory and Neural Computing (35 papers)Neural dynamics and brain function (25 papers)Neuroscience and Neural Engineering (20 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- Nature MedicineIEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEE
- Partner nations
- United KingdomFranceSpain
In The Last Decade
Francesco Galluppi
46 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Electrical and Electronic Engineering 2.1k
- Cognitive Neuroscience 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Artificial Intelligence 617
- Molecular Biology 245
Countries citing papers authored by Francesco Galluppi
This map shows the geographic impact of Francesco Galluppi'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 Francesco Galluppi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Galluppi more than expected).
Fields of papers citing papers by Francesco Galluppi
This network shows the impact of papers produced by Francesco Galluppi. 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 Francesco Galluppi. The network helps show where Francesco Galluppi may publish in the future.
Co-authorship network of co-authors of Francesco Galluppi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Galluppi. A scholar is included among the top collaborators of Francesco Galluppi 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 Francesco Galluppi. Francesco Galluppi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Partial recovery of visual function in a blind patient after optogenetic therapybreakdown → | 424 |
| 3 | Optogenetics in the Clinic: PIONEER, a Phase 1/2a Gene Therapy Program for Non-Syndromic Retinitis Pigmentosa | 2 |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 334 | |
| 7 | 8 | |
| 8 | 42 | |
| 9 | 21 | |
| 10 | 60 | |
| 11 | 47 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 7 | |
| 16 | 19 | |
| 17 | 10 | |
| 18 | 41 | |
| 19 | 5 | |
| 20 | 2 |
About Francesco Galluppi
Francesco Galluppi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Human-Computer Interaction, having authored 46 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Neural dynamics and brain function (25 papers) and Neuroscience and Neural Engineering (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Cognitive Neuroscience (1.1k citations) and Electrical and Electronic Engineering (2.1k citations). Francesco Galluppi has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include Steve Furber, Luis A. Plana, Steve Temple, Ryad Benosman, Xavier Lagorce, Garrick Orchard, Bertram E. Shi, Cameron Patterson, Alexander Rast and Evangelos Stromatias. Their work appears in journals such as Nature Medicine, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.
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.