Johanna Senk
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Statistical and Nonlinear Physics
- Co-authors
- Markus DiesmannSacha J. van AlbadaMaximilian SchmidtSteve FurberAlan B. StokesDavid LesterAndrew RowleyEspen Hagen
- Topics
- Neural dynamics and brain function (11 papers)Advanced Memory and Neural Computing (8 papers)Neuroscience and Neural Engineering (4 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Partner nations
- GermanyNorwayUnited Kingdom
In The Last Decade
Johanna Senk
13 papers receiving 175 citations
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 116
- Cognitive Neuroscience 114
- Cellular and Molecular Neuroscience 62
- Artificial Intelligence 36
- Statistical and Nonlinear Physics 15
Countries citing papers authored by Johanna Senk
This map shows the geographic impact of Johanna Senk'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 Johanna Senk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna Senk more than expected).
Fields of papers citing papers by Johanna Senk
This network shows the impact of papers produced by Johanna Senk. 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 Johanna Senk. The network helps show where Johanna Senk may publish in the future.
Co-authorship network of co-authors of Johanna Senk
This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Senk. A scholar is included among the top collaborators of Johanna Senk 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 Johanna Senk. Johanna Senk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 20 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | Connectivity Concepts for Neuronal Networks | 1 |
| 12 | 6 | |
| 13 | 98 |
About Johanna Senk
Johanna Senk is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 13 papers that have together received 182 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (8 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (114 citations), Cellular and Molecular Neuroscience (62 citations) and Electrical and Electronic Engineering (116 citations). Johanna Senk has collaborated with scholars based in Germany, Norway and United Kingdom. Frequent co-authors include Markus Diesmann, Sacha J. van Albada, Maximilian Schmidt, Steve Furber, Alan B. Stokes, David Lester, Andrew Rowley, Espen Hagen, Tom Tetzlaff and D. Terhorst. Their work appears in journals such as Cerebral Cortex, PLoS Computational Biology and Frontiers in 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.