Susanne Schreiber
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Statistical and Nonlinear Physics top 2%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Andreas V. M. HerzJean‐Marc FellousPaul TiesingaDiane WhitmerT. J. SejnowskiJan‐Hendrik SchleimerIrina ErchovaRichard Kempter
- Topics
- Neural dynamics and brain function (39 papers)stochastic dynamics and bifurcation (22 papers)Neuroscience and Neural Engineering (13 papers)
- Partner nations
- GermanyUnited StatesArgentina
In The Last Decade
Susanne Schreiber
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 902
- Cellular and Molecular Neuroscience 669
- Statistical and Nonlinear Physics 273
- Molecular Biology 252
- Electrical and Electronic Engineering 216
Countries citing papers authored by Susanne Schreiber
This map shows the geographic impact of Susanne Schreiber'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 Susanne Schreiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Schreiber more than expected).
Fields of papers citing papers by Susanne Schreiber
This network shows the impact of papers produced by Susanne Schreiber. 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 Susanne Schreiber. The network helps show where Susanne Schreiber may publish in the future.
Co-authorship network of co-authors of Susanne Schreiber
This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Schreiber. A scholar is included among the top collaborators of Susanne Schreiber 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 Susanne Schreiber. Susanne Schreiber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 21 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 12 | |
| 15 | 25 | |
| 16 | 105 | |
| 17 | 15 | |
| 18 | 13 | |
| 19 | 232 | |
| 20 | 106 |
About Susanne Schreiber
Susanne Schreiber is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (39 papers), stochastic dynamics and bifurcation (22 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Cognitive Neuroscience (902 citations), Cellular and Molecular Neuroscience (669 citations) and Statistical and Nonlinear Physics (273 citations). Susanne Schreiber has collaborated with scholars based in Germany, United States and Argentina. Frequent co-authors include Andreas V. M. Herz, Jean‐Marc Fellous, Paul Tiesinga, Diane Whitmer, T. J. Sejnowski, Jan‐Hendrik Schleimer, Irina Erchova, Richard Kempter, Uwe Heinemann and Andreas Herrmann. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.