Tyrus Berry
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Atmospheric Science top 10%
- Global and Planetary Change
- Cognitive Neuroscience
- Co-authors
- John HarlimTimothy SauerFranz HamiltonDimitrios GiannakisNathalia PeixotoSteven HeilmanRobert S. StrichartzMichael M. Norton
- Topics
- Meteorological Phenomena and Simulations (6 papers)Neural dynamics and brain function (4 papers)Time Series Analysis and Forecasting (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtmospheric ScienceStatistics, Probability and Uncertainty
- Partner nations
- United StatesDenmark
In The Last Decade
Tyrus Berry
23 papers receiving 445 citations
Peers
Comparison fields: 5 of 68
- Statistical and Nonlinear Physics 173
- Artificial Intelligence 111
- Atmospheric Science 105
- Global and Planetary Change 97
- Cognitive Neuroscience 64
Countries citing papers authored by Tyrus Berry
This map shows the geographic impact of Tyrus Berry'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 Tyrus Berry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyrus Berry more than expected).
Fields of papers citing papers by Tyrus Berry
This network shows the impact of papers produced by Tyrus Berry. 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 Tyrus Berry. The network helps show where Tyrus Berry may publish in the future.
Co-authorship network of co-authors of Tyrus Berry
This figure shows the co-authorship network connecting the top 25 collaborators of Tyrus Berry. A scholar is included among the top collaborators of Tyrus Berry 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 Tyrus Berry. Tyrus Berry 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 20 | |
| 12 | 6 | |
| 13 | Variable Bandwidth Diffusion Kernels | 75 |
| 14 | 65 | |
| 15 | 27 | |
| 16 | 11 | |
| 17 | 30 | |
| 18 | 48 | |
| 19 | 21 | |
| 20 | 11 |
About Tyrus Berry
Tyrus Berry is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Modeling and Simulation, having authored 25 papers that have together received 455 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (6 papers), Neural dynamics and brain function (4 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (173 citations), Atmospheric Science (105 citations) and Statistics, Probability and Uncertainty (33 citations). Tyrus Berry has collaborated with scholars based in United States and Denmark. Frequent co-authors include John Harlim, Timothy Sauer, Franz Hamilton, Dimitrios Giannakis, Nathalia Peixoto, Steven Heilman, Robert S. Strichartz, Michael M. Norton, Andrew J. Whalen and Steven J. Schiff. Their work appears in journals such as PLoS ONE, Journal of Computational Physics and Monthly Weather Review.
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.