Jakob H. Macke
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Biophysics top 1%
- Molecular Biology
- Co-authors
- Felix A. WichmannMatthias BethgeStefan HarmelingHeiko H. SchüttIngo FründSebastian GerwinnStefano PanzeriJoachim Groß
- Topics
- Neural dynamics and brain function (46 papers)stochastic dynamics and bifurcation (13 papers)Neural Networks and Applications (13 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Jakob H. Macke
70 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 453
- Artificial Intelligence 270
- Biophysics 229
- Molecular Biology 207
Countries citing papers authored by Jakob H. Macke
This map shows the geographic impact of Jakob H. Macke'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 Jakob H. Macke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakob H. Macke more than expected).
Fields of papers citing papers by Jakob H. Macke
This network shows the impact of papers produced by Jakob H. Macke. 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 Jakob H. Macke. The network helps show where Jakob H. Macke may publish in the future.
Co-authorship network of co-authors of Jakob H. Macke
This figure shows the co-authorship network connecting the top 25 collaborators of Jakob H. Macke. A scholar is included among the top collaborators of Jakob H. Macke 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 Jakob H. Macke. Jakob H. Macke 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 | 4 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 17 | |
| 6 | 14 | |
| 7 | 36 | |
| 8 | 23 | |
| 9 | Long timescale dynamics in freely behaving rats | 1 |
| 10 | Intrinsic dimension of data representations in deep neural networks | 9 |
| 11 | Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains | 5 |
| 12 | 31 | |
| 13 | Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations | 4 |
| 14 | Fast amortized inference of neural activity from calcium imaging data with variational autoencoders | 6 |
| 15 | Unlocking neural population non-stationarities using hierarchical dynamics models | 3 |
| 16 | Unlocking neural population non-stationarity using a hierarchical dynamics model | 1 |
| 17 | A Bayesian model for identifying hierarchically organised states in neural population activity | 3 |
| 18 | 1 | |
| 19 | How biased are maximum entropy models | 4 |
| 20 | Receptive Fields without Spike-Triggering | 6 |
About Jakob H. Macke
Jakob H. Macke is a scholar working on Cognitive Neuroscience, Biophysics and Statistical and Nonlinear Physics, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (46 papers), stochastic dynamics and bifurcation (13 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Structural Biology (79 citations) and Biophysics (229 citations). Jakob H. Macke has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Felix A. Wichmann, Matthias Bethge, Stefan Harmeling, Heiko H. Schütt, Ingo Fründ, Sebastian Gerwinn, Stefano Panzeri, Joachim Groß, Christoph Kayser and Lars Buesing. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.