Francesco Savelli
Impact in
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Sleep and Wakefulness Research
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- Neuroscience and Neuropharmacology Research
Papers in
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- Memory and Neural Mechanisms 11
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- Neuroscience and Neuropharmacology Research 10
- Photoreceptor and optogenetics research 2
- Co-authors
- James Knierim (10 shared papers)D. Yoganarasimha (3 shared papers)Benjamin Kuipers (2 shared papers)Patrick Beeson (1 shared paper)Joseph Modayil (1 shared paper)Cheng Wang (2 shared papers)Sachin S. Deshmukh (1 shared paper)Xiaojing Chen (1 shared paper)
- Journals
- Nature Neuroscience (2 papers)Hippocampus (2 papers)Artificial Intelligence (1 paper)Journal of Neurophysiology (1 paper)Science (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Francesco Savelli
14 papers receiving 820 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 628
- Cellular and Molecular Neuroscience 454
- Sensory Systems 119
- Developmental Neuroscience 31
- Computer Vision and Pattern Recognition 144
Countries citing papers authored by Francesco Savelli
This map shows the geographic impact of Francesco Savelli'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 Savelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Savelli more than expected).
Fields of papers citing papers by Francesco Savelli
This network shows the impact of papers produced by Francesco Savelli. 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 Savelli. The network helps show where Francesco Savelli may publish in the future.
Co-authors
The 13 scholars most cited alongside Francesco Savelli, 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 | 2008 | 232 | |
| 2 | 2018 | 172 | |
| 3 | 2004 | 143 | |
| 4 | 2010 | 83 | |
| 5 | 2019 | 62 | |
| 6 | 2019 | 58 | |
| 7 | 2017 | 36 | |
| 8 | 2005 | 32 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2006 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 1 |
About Francesco Savelli
Francesco Savelli is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Cell Biology and Signal Processing, having authored 14 papers that have together received 851 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Olfactory and Sensory Function Studies (3 papers), Zebrafish Biomedical Research Applications (3 papers), Data Management and Algorithms (2 papers), Photoreceptor and optogenetics research (2 papers), Semantic Web and Ontologies (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (628 citations), Cellular and Molecular Neuroscience (454 citations), Sensory Systems (119 citations), Developmental Neuroscience (31 citations) and Computer Vision and Pattern Recognition (144 citations). Francesco Savelli has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include James Knierim, D. Yoganarasimha, Benjamin Kuipers, Patrick Beeson, Joseph Modayil, Cheng Wang, Sachin S. Deshmukh, Xiaojing Chen, Manu S. Madhav and Noah J. Cowan. Their work appears in journals such as Nature Neuroscience, Hippocampus, Artificial Intelligence, Journal of Neurophysiology and 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.