Simon R. Schultz

3.6k total citations
86 papers, 2.1k citations indexed

About

Simon R. Schultz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Simon R. Schultz has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cognitive Neuroscience, 47 papers in Cellular and Molecular Neuroscience and 12 papers in Biophysics. Recurrent topics in Simon R. Schultz's work include Neural dynamics and brain function (61 papers), Neuroscience and Neural Engineering (28 papers) and Photoreceptor and optogenetics research (15 papers). Simon R. Schultz is often cited by papers focused on Neural dynamics and brain function (61 papers), Neuroscience and Neural Engineering (28 papers) and Photoreceptor and optogenetics research (15 papers). Simon R. Schultz collaborates with scholars based in United Kingdom, United States and Italy. Simon R. Schultz's co-authors include Stefano Panzeri, Edmund T. Rolls, Alessandro Treves, Rasmus S. Petersen, Mathew E. Diamond, Mikhail Lebedev, Pier Luigi Dragotti, Sarah Jarvis, Konstantin Nikolić and Fernando Montani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Neuron.

In The Last Decade

Simon R. Schultz

82 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon R. Schultz United Kingdom 25 1.6k 1.2k 318 254 229 86 2.1k
Dmitriy Aronov United States 22 2.2k 1.4× 1.7k 1.4× 270 0.8× 294 1.2× 180 0.8× 27 3.1k
Shaul Druckmann United States 23 1.8k 1.2× 1.5k 1.3× 354 1.1× 256 1.0× 78 0.3× 43 2.7k
Almut Schüz Germany 18 1.8k 1.2× 1.1k 0.9× 333 1.0× 270 1.1× 154 0.7× 42 2.6k
Hamutal Slovin Israel 18 1.9k 1.2× 1.7k 1.4× 172 0.5× 158 0.6× 208 0.9× 37 2.8k
Ştefan Mihalaş United States 27 1.7k 1.0× 978 0.8× 440 1.4× 438 1.7× 200 0.9× 72 2.4k
Nicholas A. Steinmetz United States 28 3.5k 2.2× 1.8k 1.5× 282 0.9× 283 1.1× 131 0.6× 47 4.0k
Ashok Litwin-Kumar United States 20 1.3k 0.8× 1.2k 1.0× 346 1.1× 180 0.7× 215 0.9× 36 2.0k
Wyeth Bair United States 21 3.1k 1.9× 1.3k 1.1× 315 1.0× 295 1.2× 193 0.8× 48 3.3k
Sonja Grün Germany 29 2.8k 1.7× 1.5k 1.3× 412 1.3× 204 0.8× 493 2.2× 107 3.3k
Artur Luczak Canada 21 1.7k 1.0× 1.1k 0.9× 252 0.8× 92 0.4× 152 0.7× 51 2.0k

Countries citing papers authored by Simon R. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Simon R. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon R. Schultz. 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 Simon R. Schultz. The network helps show where Simon R. Schultz may publish in the future.

Co-authorship network of co-authors of Simon R. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Simon R. Schultz. A scholar is included among the top collaborators of Simon R. Schultz 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 Simon R. Schultz. Simon R. Schultz 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.
2.
Taylor, Georgina, Patrick A. Spooner, Francesco Gobbo, et al.. (2022). Ca2+ imaging of self and other in medial prefrontal cortex during social dominance interactions in a tube test. Proceedings of the National Academy of Sciences. 119(31). e2107942119–e2107942119. 8 indexed citations
3.
Gobbo, Francesco, et al.. (2022). Neuronal signature of spatial decision-making during navigation by freely moving rats by using calcium imaging. Proceedings of the National Academy of Sciences. 119(44). e2212152119–e2212152119. 9 indexed citations
4.
Schultz, Simon R., et al.. (2022). Neural manifold analysis of brain circuit dynamics in health and disease. Journal of Computational Neuroscience. 51(1). 1–21. 25 indexed citations
5.
Branco, Tiago, Matteo Carandini, Paul Chadderton, et al.. (2022). Refinements to rodent head fixation and fluid/food control for neuroscience. Journal of Neuroscience Methods. 381. 109705–109705. 7 indexed citations
6.
McHugh, Stephen B., Vítor Lopes‐dos‐Santos, Stéphanie Trouche, et al.. (2021). Integrating new memories into the hippocampal network activity space. Nature Neuroscience. 24(3). 326–330. 35 indexed citations
7.
Schultz, Simon R., et al.. (2021). A computational grid-to-place-cell transformation model indicates a synaptic driver of place cell impairment in early-stage Alzheimer’s Disease. PLoS Computational Biology. 17(6). e1009115–e1009115. 4 indexed citations
8.
Song, Chenchen, Milena Milošević, Mark A. A. Neil, et al.. (2019). Single-Neuron Level One-Photon Voltage Imaging With Sparsely Targeted Genetically Encoded Voltage Indicators. Frontiers in Cellular Neuroscience. 13. 202–202. 19 indexed citations
9.
Abrahamsson, Therése, et al.. (2018). CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging. Neural Computation. 30(10). 2726–2756. 4 indexed citations
10.
Lin, Yiyang, Manuel Mazo, Stacey C. Skaalure, et al.. (2018). Activatable cell–biomaterial interfacing with photo-caged peptides. Chemical Science. 10(4). 1158–1167. 24 indexed citations
11.
Pang, Kuin Tian, et al.. (2018). All-optical crosstalk-free manipulation and readout of Chronos-expressing neurons. Journal of Physics D Applied Physics. 52(10). 104002–104002. 8 indexed citations
12.
Jarvis, Sarah, Konstantin Nikolić, & Simon R. Schultz. (2018). Neuronal gain modulability is determined by dendritic morphology: A computational optogenetic study. PLoS Computational Biology. 14(3). e1006027–e1006027. 18 indexed citations
13.
Cazé, Romain D., Sarah Jarvis, Amanda J. Foust, & Simon R. Schultz. (2017). Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity. Neural Computation. 29(9). 2511–2527. 10 indexed citations
14.
Longden, Kit D., et al.. (2014). Nutritional State Modulates the Neural Processing of Visual Motion. Current Biology. 24(8). 890–895. 33 indexed citations
15.
Seemungal, Barry M., et al.. (2012). Vestibular Activation Differentially Modulates Human Early Visual Cortex and V5/MT Excitability and Response Entropy. Cerebral Cortex. 23(1). 12–19. 26 indexed citations
16.
Schultz, Simon R., et al.. (2012). Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model. Journal of Computational Neuroscience. 33(2). 323–339. 13 indexed citations
17.
Schaub, Michael T. & Simon R. Schultz. (2011). The Ising decoder: reading out the activity of large neural ensembles. Journal of Computational Neuroscience. 32(1). 101–118. 22 indexed citations
18.
Saleem, Aman B., Holger G. Krapp, & Simon R. Schultz. (2008). Receptive field characterization by spike-triggered independent component analysis. Journal of Vision. 8(13). 2–2. 12 indexed citations
19.
Panzeri, Stefano, Rasmus S. Petersen, Simon R. Schultz, Mikhail Lebedev, & Mathew E. Diamond. (2001). The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex. Neuron. 29(3). 769–777. 324 indexed citations
20.
Schultz, Simon R. & Edmund T. Rolls. (1999). Analysis of information transmission in the schaffer collaterals. Hippocampus. 9(5). 582–598. 41 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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