Christian Tetzlaff

1.5k total citations
49 papers, 832 citations indexed

About

Christian Tetzlaff is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Christian Tetzlaff has authored 49 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 38 papers in Cellular and Molecular Neuroscience and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Christian Tetzlaff's work include Neural dynamics and brain function (38 papers), Advanced Memory and Neural Computing (28 papers) and Neuroscience and Neuropharmacology Research (24 papers). Christian Tetzlaff is often cited by papers focused on Neural dynamics and brain function (38 papers), Advanced Memory and Neural Computing (28 papers) and Neuroscience and Neuropharmacology Research (24 papers). Christian Tetzlaff collaborates with scholars based in Germany, Israel and Denmark. Christian Tetzlaff's co-authors include Florentin Wörgötter, Michael Fauth, Markus Butz, Samora Okujeni, Ulrich Egert, Poramate Manoonpong, Marc Timme, Tomas Kulvičius, Misha Tsodyks and Torkel Hafting and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Christian Tetzlaff

45 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Tetzlaff Germany 16 553 422 299 107 79 49 832
Mahmood Amiri Iran 20 853 1.5× 535 1.3× 365 1.2× 129 1.2× 68 0.9× 73 1.3k
Sacha J. van Albada Germany 17 871 1.6× 395 0.9× 238 0.8× 64 0.6× 43 0.5× 46 1.2k
Laurent Perrinet France 18 992 1.8× 252 0.6× 251 0.8× 102 1.0× 86 1.1× 70 1.2k
Jian K. Liu China 17 527 1.0× 233 0.6× 345 1.2× 191 1.8× 162 2.1× 85 1.0k
Robert Rosenbaum United States 16 827 1.5× 581 1.4× 208 0.7× 100 0.9× 49 0.6× 34 974
Guangyu Robert Yang United States 15 1.1k 2.0× 384 0.9× 280 0.9× 296 2.8× 143 1.8× 32 1.5k
Fariba Bahrami Iran 18 401 0.7× 338 0.8× 127 0.4× 46 0.4× 139 1.8× 105 1.0k
Marcel Stimberg France 9 615 1.1× 433 1.0× 417 1.4× 134 1.3× 56 0.7× 17 839
Samuel A. Neymotin United States 23 1.0k 1.9× 708 1.7× 227 0.8× 65 0.6× 118 1.5× 60 1.3k
Si Wu China 20 931 1.7× 358 0.8× 229 0.8× 219 2.0× 121 1.5× 76 1.4k

Countries citing papers authored by Christian Tetzlaff

Since Specialization
Citations

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

Fields of papers citing papers by Christian Tetzlaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Tetzlaff

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Tetzlaff. A scholar is included among the top collaborators of Christian Tetzlaff 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 Christian Tetzlaff. Christian Tetzlaff 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.
Billaudelle, Sebastian, et al.. (2025). Multi-timescale synaptic plasticity on analog neuromorphic hardware. 1–9.
2.
Li, Fengxia, J. Bahr, Christian Tetzlaff, et al.. (2024). Morphological correlates of synaptic protein turnover in the mouse brain. Life Science Alliance. 7(11). e202402793–e202402793. 1 indexed citations
3.
Kappel, David & Christian Tetzlaff. (2024). Synapses learn to utilize stochastic pre-synaptic release for the prediction of postsynaptic dynamics. PLoS Computational Biology. 20(11). e1012531–e1012531. 1 indexed citations
4.
Tetzlaff, Christian, et al.. (2023). High-resolution analysis of bound Ca2+in neurons and synapses. Life Science Alliance. 7(1). e202302030–e202302030. 2 indexed citations
5.
Ricci, Saverio, David Kappel, Christian Tetzlaff, Daniele Ielmini, & Erika Covi. (2023). Tunable synaptic working memory with volatile memristive devices. SHILAP Revista de lepidopterología. 3(4). 44004–44004. 5 indexed citations
6.
Kappel, David, et al.. (2022). Differential Hebbian learning with time-continuous signals for active noise reduction. PLoS ONE. 17(5). e0266679–e0266679. 1 indexed citations
7.
Wörgötter, Florentin, et al.. (2021). Reproducing asymmetrical spine shape fluctuations in a model of actin dynamics predicts self-organized criticality. Scientific Reports. 11(1). 4012–4012. 4 indexed citations
8.
Kumar, Arvind, et al.. (2021). CA2 beyond social memory: Evidence for a fundamental role in hippocampal information processing. Neuroscience & Biobehavioral Reviews. 126. 398–412. 35 indexed citations
9.
Fernández‐Busnadiego, Rubén, et al.. (2020). Quantitative Synaptic Biology: A Perspective on Techniques, Numbers and Expectations. International Journal of Molecular Sciences. 21(19). 7298–7298. 3 indexed citations
10.
Wörgötter, Florentin, et al.. (2020). Modeling the Shape of Synaptic Spines by Their Actin Dynamics. Frontiers in Synaptic Neuroscience. 12. 9–9. 17 indexed citations
11.
Tetzlaff, Christian, et al.. (2019). Principles underlying the input-dependent formation and organization of memories. Network Neuroscience. 3(2). 606–634. 13 indexed citations
12.
Tetzlaff, Christian, et al.. (2017). Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs. Scientific Reports. 7(1). 2473–2473. 10 indexed citations
13.
Tetzlaff, Christian, et al.. (2017). Fast Dynamical Coupling Enhances Frequency Adaptation of Oscillators for Robotic Locomotion Control. Frontiers in Neurorobotics. 11. 14–14. 30 indexed citations
14.
Fauth, Michael & Christian Tetzlaff. (2016). Opposing Effects of Neuronal Activity on Structural Plasticity. Frontiers in Neuroanatomy. 10. 75–75. 59 indexed citations
15.
Tetzlaff, Christian, et al.. (2013). Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation. PLoS Computational Biology. 9(10). e1003307–e1003307. 28 indexed citations
16.
Tetzlaff, Christian, et al.. (2013). Synaptic scaling enables dynamically distinct short- and long-term memory formation. BMC Neuroscience. 14(S1). 1 indexed citations
17.
Tetzlaff, Christian, et al.. (2012). Analysis of Synaptic Scaling in Combination with Hebbian Plasticity in Several Simple Networks. Frontiers in Computational Neuroscience. 6. 36–36. 19 indexed citations
18.
Tetzlaff, Christian, et al.. (2012). Time scales of memory, learning, and plasticity. Biological Cybernetics. 106(11-12). 715–726. 56 indexed citations
19.
Tetzlaff, Christian, et al.. (2010). Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear Neurons. Frontiers in Computational Neuroscience. 4. 134–134. 2 indexed citations
20.
Tetzlaff, Christian, Samora Okujeni, Ulrich Egert, Florentin Wörgötter, & Markus Butz. (2010). Self-Organized Criticality in Developing Neuronal Networks. PLoS Computational Biology. 6(12). e1001013–e1001013. 136 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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Rankless by CCL
2026