Tatjana Tchumatchenko
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Fred WolfMaxim VolgushevA. Yu. MalyshevClaudia ClopathT. GeiselErin M. SchumanAndreas NoldAnne‐Sophie Hafner
- Topics
- Neural dynamics and brain function (27 papers)Neuroscience and Neuropharmacology Research (13 papers)stochastic dynamics and bifurcation (12 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Tatjana Tchumatchenko
37 papers receiving 570 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 394
- Cellular and Molecular Neuroscience 297
- Statistical and Nonlinear Physics 134
- Molecular Biology 112
- Electrical and Electronic Engineering 79
Countries citing papers authored by Tatjana Tchumatchenko
This map shows the geographic impact of Tatjana Tchumatchenko'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 Tatjana Tchumatchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatjana Tchumatchenko more than expected).
Fields of papers citing papers by Tatjana Tchumatchenko
This network shows the impact of papers produced by Tatjana Tchumatchenko. 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 Tatjana Tchumatchenko. The network helps show where Tatjana Tchumatchenko may publish in the future.
Co-authorship network of co-authors of Tatjana Tchumatchenko
This figure shows the co-authorship network connecting the top 25 collaborators of Tatjana Tchumatchenko. A scholar is included among the top collaborators of Tatjana Tchumatchenko 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 Tatjana Tchumatchenko. Tatjana Tchumatchenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 54 | |
| 13 | 47 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 71 | |
| 20 | 21 |
About Tatjana Tchumatchenko
Tatjana Tchumatchenko is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 39 papers that have together received 574 indexed citations. Recurring topics across this work include Neural dynamics and brain function (27 papers), Neuroscience and Neuropharmacology Research (13 papers) and stochastic dynamics and bifurcation (12 papers). The work is most often cited by research in Cognitive Neuroscience (394 citations), Cellular and Molecular Neuroscience (297 citations) and Statistical and Nonlinear Physics (134 citations). Tatjana Tchumatchenko has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Fred Wolf, Maxim Volgushev, A. Yu. Malyshev, Claudia Clopath, T. Geisel, Erin M. Schuman, Andreas Nold, Anne‐Sophie Hafner, Mike Heilemann and Chao Sun. 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.