Sandro Romani

3.8k total citations · 1 hit paper
39 papers, 1.9k citations indexed

About

Sandro Romani is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Sandro Romani has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 24 papers in Cellular and Molecular Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Sandro Romani's work include Neural dynamics and brain function (21 papers), Memory and Neural Mechanisms (15 papers) and Neuroscience and Neuropharmacology Research (14 papers). Sandro Romani is often cited by papers focused on Neural dynamics and brain function (21 papers), Memory and Neural Mechanisms (15 papers) and Neuroscience and Neuropharmacology Research (14 papers). Sandro Romani collaborates with scholars based in United States, Israel and Italy. Sandro Romani's co-authors include Jeffrey C. Magee, Katie C. Bittner, Aaron D. Milstein, Christine Grienberger, Misha Tsodyks, Karel Svoboda, H. Inagaki, Lorenzo Fontolan, Yingxue Wang and Eva Pastalkova and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sandro Romani

37 papers receiving 1.9k citations

Hit Papers

Behavioral time scale synaptic plasticity underlies CA1 p... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandro Romani United States 21 1.5k 1.3k 263 251 155 39 1.9k
Shaul Druckmann United States 23 1.8k 1.2× 1.5k 1.2× 256 1.0× 354 1.4× 177 1.1× 43 2.7k
Farzan Nadim United States 28 1.5k 1.0× 1.7k 1.3× 320 1.2× 215 0.9× 61 0.4× 92 2.3k
Astrid A. Prinz United States 21 1.6k 1.0× 1.6k 1.2× 525 2.0× 367 1.5× 120 0.8× 71 2.4k
Rasmus S. Petersen United Kingdom 27 2.0k 1.3× 1.5k 1.1× 292 1.1× 257 1.0× 179 1.2× 52 2.5k
Jean‐Marc Goaillard France 20 1.3k 0.9× 1.8k 1.4× 774 2.9× 248 1.0× 82 0.5× 28 2.5k
Ashok Litwin-Kumar United States 20 1.3k 0.9× 1.2k 0.9× 180 0.7× 346 1.4× 183 1.2× 36 2.0k
Stephen D. Van Hooser United States 22 1.4k 0.9× 1.2k 0.9× 480 1.8× 202 0.8× 41 0.3× 47 2.0k
Bassam V. Atallah United States 11 2.0k 1.4× 1.8k 1.4× 368 1.4× 189 0.8× 39 0.3× 13 2.6k
Christian Leibold Germany 24 1.4k 0.9× 1.1k 0.8× 182 0.7× 191 0.8× 92 0.6× 97 1.8k
Ken Stratford United Kingdom 17 1.2k 0.8× 1.2k 0.9× 373 1.4× 184 0.7× 72 0.5× 30 1.7k

Countries citing papers authored by Sandro Romani

Since Specialization
Citations

This map shows the geographic impact of Sandro Romani'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 Sandro Romani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Romani more than expected).

Fields of papers citing papers by Sandro Romani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandro Romani. 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 Sandro Romani. The network helps show where Sandro Romani may publish in the future.

Co-authorship network of co-authors of Sandro Romani

This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Romani. A scholar is included among the top collaborators of Sandro Romani 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 Sandro Romani. Sandro Romani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Arthur, et al.. (2025). The organization of visual pathways in the Drosophila brain. bioRxiv (Cold Spring Harbor Laboratory).
2.
Briguglio, John J., et al.. (2024). Mechanisms of memory-supporting neuronal dynamics in hippocampal area CA3. Cell. 187(24). 6804–6819.e21. 9 indexed citations
3.
Gruntman, Eyal, et al.. (2021). Non-preferred contrast responses in the Drosophila motion pathways reveal a receptive field structure that explains a common visual illusion. Current Biology. 31(23). 5286–5298.e7. 5 indexed citations
4.
Finkelstein, Arseny, Lorenzo Fontolan, Michael N. Economo, et al.. (2021). Attractor dynamics gate cortical information flow during decision-making. Nature Neuroscience. 24(6). 843–850. 65 indexed citations
5.
Lee, Jae Sung, John J. Briguglio, Jeremy D. Cohen, Sandro Romani, & Albert K. Lee. (2020). The Statistical Structure of the Hippocampal Code for Space as a Function of Time, Context, and Value. Cell. 183(3). 620–635.e22. 69 indexed citations
6.
Katkov, Mikhail, et al.. (2020). Fundamental Law of Memory Recall. Physical Review Letters. 124(1). 18101–18101. 18 indexed citations
7.
Inagaki, H., Lorenzo Fontolan, Sandro Romani, & Karel Svoboda. (2019). Discrete attractor dynamics underlies persistent activity in the frontal cortex. Nature. 566(7743). 212–217. 171 indexed citations
8.
Kim, Sung Soo, Ann M. Hermundstad, Sandro Romani, L. F. Abbott, & Vivek Jayaraman. (2019). Generation of stable heading representations in diverse visual scenes. Nature. 576(7785). 126–131. 95 indexed citations
9.
Inagaki, H., et al.. (2018). Low-Dimensional and Monotonic Preparatory Activity in Mouse Anterior Lateral Motor Cortex. Journal of Neuroscience. 38(17). 4163–4185. 59 indexed citations
10.
Hunt, David, Daniele Linaro, Bailu Si, Sandro Romani, & Nelson Spruston. (2018). A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus. Nature Neuroscience. 21(7). 985–995. 65 indexed citations
11.
Katkov, Mikhail, Sandro Romani, & Misha Tsodyks. (2017). Memory Retrieval from First Principles. Neuron. 94(5). 1027–1032. 17 indexed citations
12.
Grienberger, Christine, Aaron D. Milstein, Katie C. Bittner, Sandro Romani, & Jeffrey C. Magee. (2017). Inhibitory suppression of heterogeneously tuned excitation enhances spatial coding in CA1 place cells. Nature Neuroscience. 20(3). 417–426. 101 indexed citations
13.
Romani, Sandro, Mikhail Katkov, & Misha Tsodyks. (2016). Practice makes perfect in memory recall. Learning & Memory. 23(4). 169–173. 7 indexed citations
14.
Recanatesi, Stefano, Mikhail Katkov, Sandro Romani, & Misha Tsodyks. (2015). Neural Network Model of Memory Retrieval. Frontiers in Computational Neuroscience. 9. 149–149. 24 indexed citations
15.
Si, Bailu, Sandro Romani, & Misha Tsodyks. (2014). Continuous Attractor Network Model for Conjunctive Position-by-Velocity Tuning of Grid Cells. PLoS Computational Biology. 10(4). e1003558–e1003558. 20 indexed citations
16.
Katkov, Mikhail, Sandro Romani, & Misha Tsodyks. (2014). Word length effect in free recall of randomly assembled word lists. Frontiers in Computational Neuroscience. 8. 129–129. 15 indexed citations
17.
Romani, Sandro, Itai Pinkoviezky, Alon Rubin, & Misha Tsodyks. (2013). Scaling Laws of Associative Memory Retrieval. Neural Computation. 25(10). 2523–2544. 31 indexed citations
18.
Yakovlev, Volodya, Daniel J. Amit, Sandro Romani, & Shaul Hochstein. (2008). Universal Memory Mechanism for Familiarity Recognition and Identification. Journal of Neuroscience. 28(1). 239–248. 16 indexed citations
19.
Amit, Daniel J. & Sandro Romani. (2007). Search for fMRI BOLD signals in networks of spiking neurons. European Journal of Neuroscience. 25(6). 1882–1892. 2 indexed citations
20.
Mongillo, Gianluigi, et al.. (2005). Learning in realistic networks of spiking neurons and spike‐driven plastic synapses. European Journal of Neuroscience. 21(11). 3143–3160. 33 indexed citations

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.

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