Cristina Savin
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Jochen TrieschPrashant JoshiRaul C. MureșanMichael Meyer‐HermannJörg LückeGašper TkačikSophie DenèveMáté Lengyel
- Topics
- Neural dynamics and brain function (26 papers)Advanced Memory and Neural Computing (11 papers)Memory and Neural Mechanisms (9 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Cristina Savin
29 papers receiving 357 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 286
- Cellular and Molecular Neuroscience 150
- Electrical and Electronic Engineering 104
- Artificial Intelligence 66
- Molecular Biology 37
Countries citing papers authored by Cristina Savin
This map shows the geographic impact of Cristina Savin'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 Cristina Savin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Savin more than expected).
Fields of papers citing papers by Cristina Savin
This network shows the impact of papers produced by Cristina Savin. 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 Cristina Savin. The network helps show where Cristina Savin may publish in the future.
Co-authorship network of co-authors of Cristina Savin
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Savin. A scholar is included among the top collaborators of Cristina Savin 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 Cristina Savin. Cristina Savin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | Efficient estimation of neural tuning during naturalistic behavior | 6 |
| 6 | Flexible information routing in neural populations through stochastic comodulation | 2 |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods | 6 |
| 11 | Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics | 3 |
| 12 | Spatio-temporal Representations of Uncertainty in Spiking Neural Networks | 20 |
| 13 | 11 | |
| 14 | 20 | |
| 15 | Correlations strike back (again): the case of associative memory re-trieval | 2 |
| 16 | 1 | |
| 17 | 22 | |
| 18 | Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories | 4 |
| 19 | A robust biologically plausible implementation of ICA-like learning | 3 |
| 20 | 39 |
About Cristina Savin
Cristina Savin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 33 papers that have together received 362 indexed citations. Recurring topics across this work include Neural dynamics and brain function (26 papers), Advanced Memory and Neural Computing (11 papers) and Memory and Neural Mechanisms (9 papers). The work is most often cited by research in Cognitive Neuroscience (286 citations), Cellular and Molecular Neuroscience (150 citations) and Sensory Systems (18 citations). Cristina Savin has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jochen Triesch, Prashant Joshi, Raul C. Mureșan, Michael Meyer‐Hermann, Jörg Lücke, Gašper Tkačik, Sophie Denève, Máté Lengyel, Peter Dayan and Christine M. Constantinople. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.