Eilif Müller

4.8k total citations
35 papers, 739 citations indexed

About

Eilif Müller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Eilif Müller has authored 35 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Eilif Müller's work include Neural dynamics and brain function (28 papers), Advanced Memory and Neural Computing (10 papers) and Neuroscience and Neural Engineering (10 papers). Eilif Müller is often cited by papers focused on Neural dynamics and brain function (28 papers), Advanced Memory and Neural Computing (10 papers) and Neuroscience and Neural Engineering (10 papers). Eilif Müller collaborates with scholars based in Switzerland, Germany and France. Eilif Müller's co-authors include Henry Markram, Michael Reimann, Srikanth Ramaswamy, James King, Idan Segev, Martin Paul Nawrot, Andrew P. Davison, Johannes Schemmel, Karlheinz Meier and Giuseppe Chindemi and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Trends in Neurosciences.

In The Last Decade

Eilif Müller

34 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eilif Müller Switzerland 17 577 357 187 85 80 35 739
David Feng United States 12 405 0.7× 240 0.7× 100 0.5× 123 1.4× 33 0.4× 29 729
Baktash Babadi United States 11 488 0.8× 356 1.0× 127 0.7× 51 0.6× 37 0.5× 16 687
Gloster B. Aaron United States 12 869 1.5× 771 2.2× 154 0.8× 154 1.8× 99 1.2× 21 1.2k
Samuel A. Neymotin United States 23 1.0k 1.8× 708 2.0× 227 1.2× 118 1.4× 46 0.6× 60 1.3k
Christian Tomm Switzerland 4 713 1.2× 631 1.8× 176 0.9× 54 0.6× 64 0.8× 5 798
Todd W. Troyer United States 14 873 1.5× 520 1.5× 134 0.7× 66 0.8× 166 2.1× 37 1.3k
M. Florencia Iacaruso United Kingdom 8 766 1.3× 630 1.8× 102 0.5× 124 1.5× 50 0.6× 9 903
Klaus M. Stiefel United States 14 490 0.8× 466 1.3× 150 0.8× 177 2.1× 155 1.9× 40 852
Michael Denker Germany 14 449 0.8× 321 0.9× 100 0.5× 45 0.5× 63 0.8× 38 630
Valentina Pasquale Italy 15 854 1.5× 784 2.2× 272 1.5× 134 1.6× 115 1.4× 29 1.2k

Countries citing papers authored by Eilif Müller

Since Specialization
Citations

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

Fields of papers citing papers by Eilif Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eilif Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Eilif Müller. A scholar is included among the top collaborators of Eilif Müller 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 Eilif Müller. Eilif Müller 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
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Reimann, Michael, et al.. (2024). Specific inhibition and disinhibition in the higher-order structure of a cortical connectome. Cerebral Cortex. 34(11). 2 indexed citations
4.
Chindemi, Giuseppe, Marwan Abdellah, Oren Amsalem, et al.. (2022). A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex. Nature Communications. 13(1). 3038–3038. 41 indexed citations
5.
Rössert, Christian, Rosanna Migliore, Paola Vitale, et al.. (2021). HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data. PLoS Computational Biology. 17(1). e1008114–e1008114. 11 indexed citations
6.
Newton, Taylor, et al.. (2021). In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations. Nature Communications. 12(1). 3630–3630. 8 indexed citations
7.
Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2020). The SONATA data format for efficient description of large-scale network models. PLoS Computational Biology. 16(2). e1007696–e1007696. 29 indexed citations
8.
Chindemi, Giuseppe, et al.. (2019). Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex. Frontiers in Synaptic Neuroscience. 11. 29–29. 13 indexed citations
9.
Reimann, Michael, Michael Gevaert, Ying Shi, et al.. (2019). A null model of the mouse whole-neocortex micro-connectome. Nature Communications. 10(1). 3903–3903. 23 indexed citations
10.
Gal, Eyal, Michael London, Amir Globerson, et al.. (2017). Rich cell-type-specific network topology in neocortical microcircuitry. Nature Neuroscience. 20(7). 1004–1013. 76 indexed citations
11.
Doron, Michael, Giuseppe Chindemi, Eilif Müller, Henry Markram, & Idan Segev. (2017). Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons. Cell Reports. 21(6). 1550–1561. 43 indexed citations
12.
Amsalem, Oren, Werner Van Geit, Eilif Müller, Henry Markram, & Idan Segev. (2016). From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells. Cerebral Cortex. 26(8). 3655–3668. 17 indexed citations
13.
Delattre, Vincent, Daniel Keller, Matthew G. Perich, Henry Markram, & Eilif Müller. (2015). Network-timing-dependent plasticity. Frontiers in Cellular Neuroscience. 9. 220–220. 15 indexed citations
14.
Reimann, Michael, James King, Eilif Müller, Srikanth Ramaswamy, & Henry Markram. (2015). An algorithm to predict the connectome of neural microcircuits. Frontiers in Computational Neuroscience. 9. 120–120. 68 indexed citations
15.
Müller, Eilif, James A. Bednar, Markus Diesmann, et al.. (2015). Python in neuroscience. Frontiers in Neuroinformatics. 9. 11–11. 46 indexed citations
16.
Ramaswamy, Srikanth & Eilif Müller. (2015). Cell-type specific modulation of neocortical UP and DOWN states. Frontiers in Cellular Neuroscience. 9. 370–370. 1 indexed citations
17.
Müller, Eilif, et al.. (2013). Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways. PLoS Computational Biology. 9(10). e1003251–e1003251. 35 indexed citations
18.
Müller, Eilif, et al.. (2011). Adaptation reduces variability of the neuronal population code. Physical Review E. 83(5). 50905–50905. 35 indexed citations
19.
Cannon, Robert C., Marc-Oliver Gewaltig, Padraig Gleeson, et al.. (2007). Interoperability of Neuroscience Modeling Software: Current Status and Future Directions. Neuroinformatics. 5(2). 127–138. 48 indexed citations
20.
Müller, Eilif, et al.. (2006). Living Laboratories: Making and Curating Interactive Art. UTS ePRESS (University of Technology Sydney). 160. 15 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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