Alexander Rauch
About
In The Last Decade
Alexander Rauch
8 papers receiving 344 citations
Peers
Comparison fields: 5 of 41
- Cognitive Neuroscience 321
- Electrical and Electronic Engineering 188
- Cellular and Molecular Neuroscience 175
- Statistical and Nonlinear Physics 139
- Artificial Intelligence 62
Countries citing papers authored by Alexander Rauch
This map shows the geographic impact of Alexander Rauch'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 Alexander Rauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Rauch more than expected).
Fields of papers citing papers by Alexander Rauch
This network shows the impact of papers produced by Alexander Rauch. 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 Alexander Rauch. The network helps show where Alexander Rauch may publish in the future.
Co-authorship network of co-authors of Alexander Rauch
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Rauch. A scholar is included among the top collaborators of Alexander Rauch 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 Alexander Rauch. Alexander Rauch 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 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 107 | |
| 6 | 161 | |
| 7 | 50 | |
| 8 | Integrate-and-Fire models with adaptation are good enough | 10 |
| 9 | Integrate-and-Fire models with adaptation are good enough: predicting spike times under random current injection | 21 |
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.