Raphael Ritz

1.1k citations
22 papers · 674 indexed · h-index 10

Impact in

Papers in

Raphael Ritz

20 papers receiving 634 citations

Peers

Raphael Ritz
Comparison fields: 5 of 67
  • Cognitive Neuroscience 490
  • Cellular and Molecular Neuroscience 301
  • Statistical and Nonlinear Physics 118
  • Sensory Systems 28
  • Computer Networks and Communications 94
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Michael A. Buice United States
D. Amit Israel
Louis Tao China
Fernando Montani Argentina
Tobias C. Potjans Japan
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Robert C. Cannon United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Raphael Ritz

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Ritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raphael Ritz, 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 Raphael Ritz Line = papers co-authored together Raphael Ritz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993208
2 1997148
3 199379
4 199442
5 199540
6 199537
7 201932
8 201124
9 200418
10 199318
11 19965
12 20015
13 20044
14 19943
15 20113
16 20153
17 20202
18
The NOMAD Laboratory
20211
19 19611
20 20081

About Raphael Ritz

Raphael Ritz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 22 papers that have together received 674 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (2 papers), Neural Networks and Applications (2 papers), stochastic dynamics and bifurcation (2 papers), Adaptive Control of Nonlinear Systems (2 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (490 citations), Cellular and Molecular Neuroscience (301 citations), Statistical and Nonlinear Physics (118 citations), Sensory Systems (28 citations) and Computer Networks and Communications (94 citations). Raphael Ritz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include J. Leo van Hemmen, Wulfram Gerstner, Terrence J. Sejnowski, U. Fantz, M. Giacomin, D. Wünderlich, Raffaello D’Andrea, Sergei Lupashin, Markus Hehn and Nikolai Axmacher. Their work appears in journals such as Biological Cybernetics, Journal of Neurophysiology, Neural Computation, Journal of Quantitative Spectroscopy and Radiative Transfer and Dermatology.

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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