Franz Scherr

870 total citations · 1 hit paper
9 papers, 374 citations indexed

About

Franz Scherr is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Franz Scherr has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Franz Scherr's work include Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Reservoir Computing (3 papers). Franz Scherr is often cited by papers focused on Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Reservoir Computing (3 papers). Franz Scherr collaborates with scholars based in Austria, Germany and Switzerland. Franz Scherr's co-authors include Wolfgang Maass, Guillaume Bellec, Anand Subramoney, Robert Legenstein, Darjan Salaj, Guozhang Chen, Karlheinz Meier, Christian Pehle, Timothée Masquelier and Mihai A. Petrovici and has published in prestigious journals such as Nature Communications, Neuron and Scientific Reports.

In The Last Decade

Franz Scherr

8 papers receiving 371 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A solution to the learning dilemma for recurrent networks of spiking neurons

2020 269 citations Guillaume Bellec, Franz Scherr et al. Nature Communications profile →

Peers

Countries citing papers authored by Franz Scherr

Since Specialization

Citations

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

Fields of papers citing papers by Franz Scherr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franz Scherr

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Fast learning without synaptic plasticity in spiking neural networks 2024 ·Scientific Reports ·Anand Subramoney, Guillaume Bellec, Franz Scherr, Robert Legenstein, Wolfgang Maass	3
2	Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations 2024 ·PLoS Computational Biology ·(unknown), Franz Scherr, José J. Ramasco, Anton Arkhipov, Wolfgang Maass, Cláudio R. Mirasso	1
3	A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing 2022 ·Science Advances ·Guozhang Chen, Franz Scherr, Wolfgang Maass	24
4	Visualizing a joint future of neuroscience and neuromorphic engineering 2021 ·Neuron ·Friedemann Zenke, Sander M. Bohté, Claudia Clopath, (unknown), (unknown), Wolfgang Maass, Timothée Masquelier, Richard Naud, Emre Neftci, Mihai A. Petrovici, Franz Scherr, Dan F. M. Goodman	37
5	A solution to the learning dilemma for recurrent networks of spiking neurons breakdown → 2020 ·Nature Communications ·Guillaume Bellec, Franz Scherr, Anand Subramoney, (unknown), Darjan Salaj, Robert Legenstein, Wolfgang Maass	269
6	Neuromorphic Hardware Learns to Learn 2019 ·Frontiers in Neuroscience ·(unknown), Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass	31
7	IGITUGraz/L2L: v1.0.0-beta 2019 ·Figshare ·Anand Subramoney, Sandra Diaz-Pier, A. Ravishankar Rao, Franz Scherr, Darjan Salaj, (unknown), Jakob Jordan, (unknown), (unknown), (unknown)	0
8	Eligibility traces provide a data-inspired alternative to backpropagation through time 2019 ·Guillaume Bellec, Franz Scherr, (unknown), Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass	5
9	Inhibition of Mg, Ca-ATPase from E. coli by Ruthenium Red 1978 ·Zeitschrift für Naturforschung C ·Franz Scherr, Theodor Günther	4

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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