Ulrich Egert
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Co-authors
- W. NischSamora OkujeniMarcel HalbachKathrin BanachHugo HämmerleAd AertsenH. HaemmerleThomas Meyer
- Topics
- Neuroscience and Neural Engineering (36 papers)Neural dynamics and brain function (34 papers)Neuroscience and Neuropharmacology Research (19 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Ulrich Egert
53 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 1.8k
- Cognitive Neuroscience 1.1k
- Molecular Biology 510
- Electrical and Electronic Engineering 462
- Biomedical Engineering 440
Countries citing papers authored by Ulrich Egert
This map shows the geographic impact of Ulrich Egert'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 Ulrich Egert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Egert more than expected).
Fields of papers citing papers by Ulrich Egert
This network shows the impact of papers produced by Ulrich Egert. 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 Ulrich Egert. The network helps show where Ulrich Egert may publish in the future.
Co-authorship network of co-authors of Ulrich Egert
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Egert. A scholar is included among the top collaborators of Ulrich Egert 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 Ulrich Egert. Ulrich Egert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | 40 | |
| 4 | Controlling biological neural networks with deep reinforcement learning. | 1 |
| 5 | 25 | |
| 6 | 15 | |
| 7 | 22 | |
| 8 | 39 | |
| 9 | 13 | |
| 10 | 28 | |
| 11 | 136 | |
| 12 | 21 | |
| 13 | 9 | |
| 14 | 168 | |
| 15 | 52 | |
| 16 | 50 | |
| 17 | 60 | |
| 18 | 155 | |
| 19 | 92 | |
| 20 | 40 |
About Ulrich Egert
Ulrich Egert is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (36 papers), Neural dynamics and brain function (34 papers) and Neuroscience and Neuropharmacology Research (19 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Cognitive Neuroscience (1.1k citations) and Electrochemistry (140 citations). Ulrich Egert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include W. Nisch, Samora Okujeni, Marcel Halbach, Kathrin Banach, Hugo Hämmerle, Ad Aertsen, H. Haemmerle, Thomas Meyer, Alfred Stett and Elke Guenther. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.
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.