Leonhard Waschke

1.2k total citations · 1 hit paper
10 papers, 611 citations indexed

About

Leonhard Waschke is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Leonhard Waschke has authored 10 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Leonhard Waschke's work include Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (5 papers) and Neural and Behavioral Psychology Studies (4 papers). Leonhard Waschke is often cited by papers focused on Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (5 papers) and Neural and Behavioral Psychology Studies (4 papers). Leonhard Waschke collaborates with scholars based in Germany, United States and Sweden. Leonhard Waschke's co-authors include Jonas Obleser, Douglas D. Garrett, Niels A Kloosterman, Malte Wöstmann, Sarah Tune, Bradley Voytek, Thomas Donoghue, Lorenz Fiedler, Bernhard Spitzer and Christopher Summerfield and has published in prestigious journals such as Nature Communications, Neuron and Scientific Reports.

In The Last Decade

Leonhard Waschke

10 papers receiving 611 citations

Hit Papers

Behavior needs neural variability 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonhard Waschke Germany 8 525 83 55 29 28 10 611
Aurelio Cortese Japan 12 451 0.9× 33 0.4× 70 1.3× 30 1.0× 36 1.3× 28 544
Márk Molnár Hungary 17 638 1.2× 71 0.9× 100 1.8× 21 0.7× 40 1.4× 31 737
Matthias Guggenmos Germany 15 566 1.1× 89 1.1× 157 2.9× 20 0.7× 15 0.5× 27 776
Xiaochuan Pan China 15 428 0.8× 176 2.1× 47 0.9× 22 0.8× 13 0.5× 37 573
Kinjan Parikh United States 3 385 0.7× 45 0.5× 76 1.4× 12 0.4× 20 0.7× 4 454
Verónica Mäki-Marttunen Norway 11 246 0.5× 55 0.7× 41 0.7× 33 1.1× 21 0.8× 22 359
Chantal Roggeman Belgium 12 479 0.9× 62 0.7× 98 1.8× 34 1.2× 27 1.0× 14 728
Francesco Di Gregorio Italy 12 354 0.7× 37 0.4× 61 1.1× 10 0.3× 31 1.1× 28 495
Ben M. Crittenden United Kingdom 7 576 1.1× 102 1.2× 96 1.7× 26 0.9× 17 0.6× 8 688
Briana L. Kennedy Australia 12 320 0.6× 34 0.4× 91 1.7× 18 0.6× 15 0.5× 30 408

Countries citing papers authored by Leonhard Waschke

Since Specialization
Citations

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

Fields of papers citing papers by Leonhard Waschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonhard Waschke

This figure shows the co-authorship network connecting the top 25 collaborators of Leonhard Waschke. A scholar is included among the top collaborators of Leonhard Waschke 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 Leonhard Waschke. Leonhard Waschke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Waschke, Leonhard, et al.. (2025). Single-neuron spiking variability in hippocampus dynamically tracks sensory content during memory formation in humans. Nature Communications. 16(1). 236–236. 4 indexed citations
2.
Krohn, Stephan, et al.. (2023). A spatiotemporal complexity architecture of human brain activity. Science Advances. 9(5). eabq3851–eabq3851. 33 indexed citations
3.
Månsson, Kristoffer, Leonhard Waschke, Amirhossein Manzouri, et al.. (2021). Moment-to-Moment Brain Signal Variability Reliably Predicts Psychiatric Treatment Outcome. Biological Psychiatry. 91(7). 658–666. 33 indexed citations
4.
Waschke, Leonhard, Niels A Kloosterman, Jonas Obleser, & Douglas D. Garrett. (2021). Behavior needs neural variability. Neuron. 109(5). 751–766. 166 indexed citations breakdown →
5.
Waschke, Leonhard, Thomas Donoghue, Lorenz Fiedler, et al.. (2021). Modality-specific tracking of attention and sensory statistics in the human electrophysiological spectral exponent. eLife. 10. 127 indexed citations
7.
Waschke, Leonhard, Sarah Tune, & Jonas Obleser. (2019). Local cortical desynchronization and pupil-linked arousal differentially shape brain states for optimal sensory performance. eLife. 8. 75 indexed citations
8.
Wöstmann, Malte, Leonhard Waschke, & Jonas Obleser. (2018). Prestimulus neural alpha power predicts confidence in discriminating identical auditory stimuli. European Journal of Neuroscience. 49(1). 94–105. 43 indexed citations
9.
Spitzer, Bernhard, Leonhard Waschke, & Christopher Summerfield. (2017). Selective overweighting of larger magnitudes during noisy numerical comparison. Nature Human Behaviour. 1(8). 145–145. 47 indexed citations
10.
Waschke, Leonhard, Malte Wöstmann, & Jonas Obleser. (2017). States and traits of neural irregularity in the age-varying human brain. Scientific Reports. 7(1). 17381–17381. 76 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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