Tyrus Berry
Impact in
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- Model Reduction and Neural Networks
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 5
- Neural Networks and Applications 3
- Gaussian Processes and Bayesian Inference 3
- Co-authors
- John Harlim (7 shared papers)Timothy Sauer (14 shared papers)Franz Hamilton (6 shared papers)Dimitrios Giannakis (1 shared paper)Nathalia Peixoto (2 shared papers)Robert S. Strichartz (1 shared paper)Steven Heilman (1 shared paper)Michael M. Norton (2 shared papers)
- Journals
- Physical review. E (3 papers)Monthly Weather Review (2 papers)Applied and Computational Harmonic Analysis (2 papers)SIAM Journal on Applied Dynamical Systems (2 papers)Journal of Computational Physics (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Tyrus Berry
24 papers receiving 456 citations
Peers
Comparison fields: 5 of 69
- Statistical and Nonlinear Physics 176
- Atmospheric Science 105
- Statistics, Probability and Uncertainty 33
- Global and Planetary Change 97
- Modeling and Simulation 19
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-authors
The 18 scholars most cited alongside Tyrus Berry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Variable Bandwidth Diffusion Kernels | 2016 | 75 |
| 2 | 2015 | 65 | |
| 3 | 2016 | 53 | |
| 4 | 2013 | 49 | |
| 5 | 2013 | 30 | |
| 6 | 2015 | 27 | |
| 7 | 2012 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2009 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2023 | 5 |
About Tyrus Berry
Tyrus Berry is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Atmospheric Science, Global and Planetary Change and Cognitive Neuroscience, having authored 27 papers that have together received 466 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (6 papers), Neural dynamics and brain function (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Climate variability and models (4 papers), Time Series Analysis and Forecasting (4 papers), Neural Networks and Applications (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (176 citations), Atmospheric Science (105 citations), Statistics, Probability and Uncertainty (33 citations), Global and Planetary Change (97 citations) and Modeling and Simulation (19 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, Robert S. Strichartz, Steven Heilman, Michael M. Norton, Andrew J. Whalen and Steven J. Schiff. Their work appears in journals such as Physical review. E, Monthly Weather Review, Applied and Computational Harmonic Analysis, SIAM Journal on Applied Dynamical Systems and Journal of Computational Physics.
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.