Michael Häusser

28.0k citations
121 papers · 16.0k indexed · 5 hit papers · h-index 66

Michael Häusser

120 papers receiving 15.8k citations

Hit Papers

DENDRITIC COMPUTATION7771997202620062016250500750

Peers

Michael Häusser
Comparison fields: 5 of 161
  • Cellular and Molecular Neuroscience 11.8k
  • Cognitive Neuroscience 9.7k
  • Neurology 2.7k
  • Sensory Systems 1.5k
  • Biophysics 827
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Thomas Knöpfel Japan
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Citations per year

Countries citing papers authored by Michael Häusser

Since Specialization
Citations

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

Fields of papers citing papers by Michael Häusser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Häusser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Häusser Line = papers co-authored together Michael Häusser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20248
2 202330
3 202235
4 202067
5 2020151
6 202019
7 202037
8 201916
9 2018106
10
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
20179
11 2014368
12 201475
13 201397
14 2010323
15 2008499
16
Plasticity Kernels and Temporal Statistics
20038
17
Monte Carlo simulations of synaptic transmission in detailed three-dimensional reconstructions of cerebellar neuropil.
20001
18
Compartmental models of rat cerebellar Purkinje cells constrained using simultaneous somatic and dendritic patch-clamp recording
19991
19
Shunting of EPSPs by action potentials
19982
20
Action potential backpropagation depends on dendritic geometry
19983

About Michael Häusser

Michael Häusser is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 121 papers that have together received 16.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (87 papers), Neuroscience and Neuropharmacology Research (78 papers), Neuroscience and Neural Engineering (27 papers), Photoreceptor and optogenetics research (26 papers), Vestibular and auditory disorders (26 papers), Hearing, Cochlea, Tinnitus, Genetics (14 papers), Advanced Memory and Neural Computing (12 papers) and Neurobiology and Insect Physiology Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (11.8k citations), Cognitive Neuroscience (9.7k citations) and Neurology (2.7k citations). Michael Häusser has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Greg J. Stuart, Arnd Roth, Michael London, Beverley A. Clark, Tiago Branco, Nelson Spruston, P. Jesper Sjöström, Paul Chadderton, Ede Rancz and Adam M. Packer. Their work appears in journals such as Nature Neuroscience, Neuron, Journal of Neuroscience, Nature and The Journal of Physiology.

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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