Daniel E. Shulz

2.0k total citations
47 papers, 1.5k citations indexed

About

Daniel E. Shulz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel E. Shulz has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 39 papers in Cellular and Molecular Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel E. Shulz's work include Neural dynamics and brain function (39 papers), Neuroscience and Neural Engineering (25 papers) and Neuroscience and Neuropharmacology Research (15 papers). Daniel E. Shulz is often cited by papers focused on Neural dynamics and brain function (39 papers), Neuroscience and Neural Engineering (25 papers) and Neuroscience and Neuropharmacology Research (15 papers). Daniel E. Shulz collaborates with scholars based in France, Israel and Switzerland. Daniel E. Shulz's co-authors include Yves Frégnac, Valérie Ego‐Stengel, Simon J. Thorpe, Elie Bienenstock, Ehud Ahissar, Sebastian Haidarliu, Vincent Jacob, Luc Estebanez, Ronen Sosnik and Vincent Bringuier and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Daniel E. Shulz

47 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Shulz France 21 1.3k 1.1k 222 150 75 47 1.5k
Mark H. Histed United States 15 1.3k 1.0× 1000 0.9× 168 0.8× 177 1.2× 63 0.8× 25 1.5k
Ning-long Xu China 14 1.1k 0.9× 986 0.9× 119 0.5× 180 1.2× 95 1.3× 22 1.4k
Andres Grosmark United States 15 1.4k 1.1× 1.2k 1.1× 108 0.5× 162 1.1× 103 1.4× 22 1.7k
Kayvon Daie United States 12 949 0.7× 639 0.6× 148 0.7× 174 1.2× 80 1.1× 15 1.3k
Fabian Kloosterman Belgium 23 1.7k 1.3× 1.5k 1.4× 233 1.0× 85 0.6× 85 1.1× 50 1.9k
Marina Chistiakova Germany 19 776 0.6× 846 0.8× 229 1.0× 152 1.0× 67 0.9× 30 1.1k
Evgueniy V. Lubenov United States 11 1.6k 1.2× 1.3k 1.2× 215 1.0× 76 0.5× 87 1.2× 12 1.8k
Tomáš Hromádka Slovakia 13 972 0.7× 916 0.8× 152 0.7× 159 1.1× 146 1.9× 21 1.5k
Chun-I Yeh United States 17 1.4k 1.0× 799 0.7× 180 0.8× 206 1.4× 32 0.4× 24 1.5k
Jason N. MacLean United States 22 1.1k 0.8× 985 0.9× 146 0.7× 213 1.4× 44 0.6× 47 1.6k

Countries citing papers authored by Daniel E. Shulz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Shulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Shulz. 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 Daniel E. Shulz. The network helps show where Daniel E. Shulz may publish in the future.

Co-authorship network of co-authors of Daniel E. Shulz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Shulz. A scholar is included among the top collaborators of Daniel E. Shulz 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 Daniel E. Shulz. Daniel E. Shulz 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.
Estebanez, Luc, et al.. (2023). Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback. Science Advances. 9(38). eadh1328–eadh1328. 3 indexed citations
2.
Shulz, Daniel E., et al.. (2022). Learning in a closed-loop brain-machine interface with distributed optogenetic cortical feedback. Journal of Neural Engineering. 19(6). 66045–66045. 3 indexed citations
3.
Estebanez, Luc, et al.. (2018). Supra-barrel Distribution of Directional Tuning for Global Motion in the Mouse Somatosensory Cortex. Cell Reports. 22(13). 3534–3547. 11 indexed citations
4.
Shulz, Daniel E., et al.. (2017). Bilateral Discrimination of Tactile Patterns without Whisking in Freely Running Rats. Journal of Neuroscience. 37(32). 7567–7579. 17 indexed citations
5.
Estebanez, Luc, et al.. (2016). A radial map of multi-whisker correlation selectivity in the rat barrel cortex. Nature Communications. 7(1). 13528–13528. 19 indexed citations
6.
Shulz, Daniel E., et al.. (2015). An automated workflow for the anatomo-functional mapping of the barrel cortex. Journal of Neuroscience Methods. 263. 145–154. 6 indexed citations
7.
Estebanez, Luc, Sami El‐Boustani, Alain Destexhe, & Daniel E. Shulz. (2014). Ce que les vibrisses disent au cerveau tactile. médecine/sciences. 30(1). 93–98. 2 indexed citations
8.
Frégnac, Yves, et al.. (2013). “Master” Neurons Induced by Operant Conditioning in Rat Motor Cortex during a Brain-Machine Interface Task. Journal of Neuroscience. 33(19). 8308–8320. 40 indexed citations
9.
Estebanez, Luc, Sami El‐Boustani, Alain Destexhe, & Daniel E. Shulz. (2012). Correlated input reveals coexisting coding schemes in a sensory cortex. Nature Neuroscience. 15(12). 1691–1699. 60 indexed citations
10.
Shulz, Daniel E.. (2010). Spike timing dependent plasticity in the intact brain: counteracting spurious spike coincidences.. Frontiers in Synaptic Neuroscience. 4. 137–137. 12 indexed citations
11.
Jacob, Vincent, et al.. (2010). The Matrix: A new tool for probing the whisker-to-barrel system with natural stimuli. Journal of Neuroscience Methods. 189(1). 65–74. 28 indexed citations
12.
Jacob, Vincent, et al.. (2007). Barrels XIX—Abstracts. Somatosensory & Motor Research. 24(3). 139–162. 1 indexed citations
13.
Jacob, Vincent, Daniel J. Brasier, Irina Erchova, Dan Feldman, & Daniel E. Shulz. (2007). Spike Timing-Dependent Synaptic Depression in theIn VivoBarrel Cortex of the Rat. Journal of Neuroscience. 27(6). 1271–1284. 99 indexed citations
14.
Ego‐Stengel, Valérie, Vincent Bringuier, & Daniel E. Shulz. (2002). Noradrenergic modulation of functional selectivity in the cat visual cortex: an in vivo extracellular and intracellular study. Neuroscience. 111(2). 275–289. 42 indexed citations
15.
Debanne, Dominique, Daniel E. Shulz, & Yves Frégnac. (1998). Activity‐dependent regulation of ‘on’ and ‘off’ responses in cat visual cortical receptive fields. The Journal of Physiology. 508(2). 523–548. 43 indexed citations
16.
Ahissar, Ehud, Sebastian Haidarliu, & Daniel E. Shulz. (1996). Possible involvement of neuromodulatory systems in cortical Hebbian-like plasticity. Journal of Physiology-Paris. 90(5-6). 353–360. 25 indexed citations
17.
Haidarliu, Sebastian, Daniel E. Shulz, & Ehud Ahissar. (1995). A multi-electrode array for combined microiontophoresis and multiple single-unit recordings. Journal of Neuroscience Methods. 56(2). 125–131. 41 indexed citations
18.
Bringuier, Vincent, et al.. (1992). Synaptic origin of rhythmic visually evoked activity in kitten area 17 neurones. Neuroreport. 3(12). 1065–1068. 30 indexed citations
19.
Shulz, Daniel E. & Yves Frégnac. (1992). Cellular analogs of visual cortical epigenesis. II. Plasticity of binocular integration. Journal of Neuroscience. 12(4). 1301–1318. 56 indexed citations
20.
Frégnac, Yves, Daniel E. Shulz, Simon J. Thorpe, & Elie Bienenstock. (1988). A cellular analogue of visual cortical plasticity. Nature. 333(6171). 367–370. 194 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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