Gaby Schneider
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Neurology
- Physiology
- Co-authors
- Jochen RoeperJulia SchiemannDanko NikolićBirgit LissV. KloseKareem A. ZaghloulFalk SchlaudraffSusumu Seino
- Topics
- Neural dynamics and brain function (17 papers)Neuroscience and Neuropharmacology Research (6 papers)stochastic dynamics and bifurcation (6 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Gaby Schneider
30 papers receiving 694 citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 311
- Cognitive Neuroscience 275
- Molecular Biology 173
- Neurology 79
- Physiology 65
Countries citing papers authored by Gaby Schneider
This map shows the geographic impact of Gaby Schneider'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 Gaby Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaby Schneider more than expected).
Fields of papers citing papers by Gaby Schneider
This network shows the impact of papers produced by Gaby Schneider. 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 Gaby Schneider. The network helps show where Gaby Schneider may publish in the future.
Co-authorship network of co-authors of Gaby Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Gaby Schneider. A scholar is included among the top collaborators of Gaby Schneider 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 Gaby Schneider. Gaby Schneider 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 | 1 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 27 | |
| 8 | 2 | |
| 9 | 50 | |
| 10 | 24 | |
| 11 | 37 | |
| 12 | A multiple filter test for change point detection in renewal processes with varying variance | 3 |
| 13 | 160 | |
| 14 | 55 | |
| 15 | 30 | |
| 16 | 37 | |
| 17 | 22 | |
| 18 | 33 | |
| 19 | 24 | |
| 20 | [Changes of a sample of aged > or = 60 years of age in-patients after five years: results from the ELDERMEN-Study]. | 3 |
About Gaby Schneider
Gaby Schneider is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 33 papers that have together received 700 indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Neuroscience and Neuropharmacology Research (6 papers) and stochastic dynamics and bifurcation (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (311 citations), Cognitive Neuroscience (275 citations) and Developmental Neuroscience (32 citations). Gaby Schneider has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jochen Roeper, Julia Schiemann, Danko Nikolić, Birgit Liss, V. Klose, Kareem A. Zaghloul, Falk Schlaudraff, Susumu Seino, Peter J. Magill and Thomas Deller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.
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.