F. Paul Spitzner

1.1k total citations · 1 hit paper
9 papers, 623 citations indexed

About

F. Paul Spitzner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Condensed Matter Physics. According to data from OpenAlex, F. Paul Spitzner has authored 9 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Condensed Matter Physics. Recurrent topics in F. Paul Spitzner's work include Neural dynamics and brain function (4 papers), COVID-19 epidemiological studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). F. Paul Spitzner is often cited by papers focused on Neural dynamics and brain function (4 papers), COVID-19 epidemiological studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). F. Paul Spitzner collaborates with scholars based in Germany, Chile and Ukraine. F. Paul Spitzner's co-authors include Viola Priesemann, Johannes Zierenberg, Jonas Dehning, João Pinheiro Neto, Michael Wibral, Michael Wilczek, Viktoria Blavatska, Wolfhard Janke, Sebastian Mohr and Sebastián Contreras and has published in prestigious journals such as Science, PLoS ONE and Science Advances.

In The Last Decade

F. Paul Spitzner

8 papers receiving 614 citations

Hit Papers

Inferring change points in the spread of COVID-19 reveals... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Paul Spitzner Germany 6 432 175 138 123 55 9 623
Jonas Dehning Germany 6 459 1.1× 174 1.0× 143 1.0× 131 1.1× 65 1.2× 10 605
João Pinheiro Neto Germany 3 406 0.9× 167 1.0× 123 0.9× 119 1.0× 48 0.9× 3 535
Johannes Zierenberg Germany 15 410 0.9× 198 1.1× 124 0.9× 119 1.0× 49 0.9× 34 1.0k
Tamay Besiroglu United States 5 453 1.0× 218 1.2× 172 1.2× 113 0.9× 40 0.7× 10 825
Swapnil Mishra United Kingdom 14 384 0.9× 179 1.0× 239 1.7× 112 0.9× 85 1.5× 46 844
Kris V. Parag United Kingdom 14 460 1.1× 139 0.8× 237 1.7× 190 1.5× 114 2.1× 38 726
Benjamin F. Maier Germany 10 631 1.5× 294 1.7× 176 1.3× 172 1.4× 91 1.7× 21 983
Gavin Leech United Kingdom 4 499 1.2× 226 1.3× 196 1.4× 114 0.9× 36 0.7× 5 728
Sören Mindermann United Kingdom 7 541 1.3× 243 1.4× 221 1.6× 123 1.0× 45 0.8× 9 834
Sara Y. Del Valle United States 6 280 0.6× 75 0.4× 81 0.6× 136 1.1× 80 1.5× 6 461

Countries citing papers authored by F. Paul Spitzner

Since Specialization
Citations

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

Fields of papers citing papers by F. Paul Spitzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Paul Spitzner. 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 F. Paul Spitzner. The network helps show where F. Paul Spitzner may publish in the future.

Co-authorship network of co-authors of F. Paul Spitzner

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

All Works

9 of 9 papers shown
1.
Spitzner, F. Paul, et al.. (2024). Signatures of hierarchical temporal processing in the mouse visual system. PLoS Computational Biology. 20(8). e1012355–e1012355. 3 indexed citations
2.
Yamamoto, Hideaki, F. Paul Spitzner, Tomohiro Konno, et al.. (2023). Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Science Advances. 9(34). eade1755–eade1755. 20 indexed citations
3.
Spitzner, F. Paul, et al.. (2022). α-Synuclein Impacts on Intrinsic Neuronal Network Activity Through Reduced Levels of Cyclic AMP and Diminished Numbers of Active Presynaptic Terminals. Frontiers in Molecular Neuroscience. 15. 868790–868790. 3 indexed citations
4.
Neto, João Pinheiro, F. Paul Spitzner, & Viola Priesemann. (2022). Sampling effects and measurement overlap can bias the inference of neuronal avalanches. PLoS Computational Biology. 18(11). e1010678–e1010678. 7 indexed citations
5.
Contreras, Sebastián, et al.. (2021). Low case numbers enable long-term stable pandemic control without lockdowns. Science Advances. 7(41). eabg2243–eabg2243. 27 indexed citations
6.
Spitzner, F. Paul, Jonas Dehning, Jens Wilting, et al.. (2021). MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. PLoS ONE. 16(4). e0249447–e0249447. 11 indexed citations
7.
Dehning, Jonas, Johannes Zierenberg, F. Paul Spitzner, et al.. (2020). Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science. 369(6500). 517 indexed citations breakdown →
8.
Spitzner, F. Paul, Johannes Zierenberg, & Wolfhard Janke. (2018). The droplet formation-dissolution transition in different ensembles: Finite-size scaling from two perspectives. SciPost Physics. 5(6).
9.
Zierenberg, Johannes, et al.. (2017). Percolation thresholds and fractal dimensions for square and cubic lattices with long-range correlated defects. Physical review. E. 96(6). 62125–62125. 35 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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