James A. Yorke
- Statistical and Nonlinear Physics top 0.01%
- Computer Networks and Communications top 0.02%
- Mathematical Physics top 0.01%
- Economics and Econometrics top 0.1%
- Molecular Biology top 2%
- Co-authors
- Edward OttCelso GrebogiTimothy SauerTien-Yien LiHelena E. NusseKathleen T. AlligoodBrian R. HuntMartin Casdagli
- Topics
- Quantum chaos and dynamical systems (156 papers)Mathematical Dynamics and Fractals (133 papers)Chaos control and synchronization (126 papers)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
James A. Yorke
360 papers receiving 36.2k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Statistical and Nonlinear Physics 20.8k
- Computer Networks and Communications 12.2k
- Mathematical Physics 6.6k
- Economics and Econometrics 3.8k
- Molecular Biology 3.3k
Countries citing papers authored by James A. Yorke
This map shows the geographic impact of James A. Yorke'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 James A. Yorke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Yorke more than expected).
Fields of papers citing papers by James A. Yorke
This network shows the impact of papers produced by James A. Yorke. 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 James A. Yorke. The network helps show where James A. Yorke may publish in the future.
Co-authorship network of co-authors of James A. Yorke
This figure shows the co-authorship network connecting the top 25 collaborators of James A. Yorke. A scholar is included among the top collaborators of James A. Yorke 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 James A. Yorke. James A. Yorke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data. | 18 |
| 3 | GAGE: A critical evaluation of genome assemblies and assembly algorithms (Genome Research (2012) 22 (557-567)) | 3 |
| 4 | Use of the breeding technique to estimate the structure of the analysis "errors of the day" | 58 |
| 5 | On The Dynamical Basis of Targeting Weather Observations | 1 |
| 6 | 16 | |
| 7 | Dynamics (2nd ed.): numerical explorations | 13 |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 126 | |
| 11 | 245 | |
| 12 | 2 | |
| 13 | 74 | |
| 14 | 33 | |
| 15 | 14 | |
| 16 | 105 | |
| 17 | 181 | |
| 18 | 271 | |
| 19 | 3 | |
| 20 | 3 |
About James A. Yorke
James A. Yorke is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Geometry and Topology, having authored 370 papers that have together received 38.5k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (156 papers), Mathematical Dynamics and Fractals (133 papers) and Chaos control and synchronization (126 papers). The work is most often cited by research in Statistical and Nonlinear Physics (20.8k citations), Mathematical Physics (6.6k citations) and Computer Networks and Communications (12.2k citations). James A. Yorke has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Edward Ott, Celso Grebogi, Timothy Sauer, Tien-Yien Li, Helena E. Nusse, Kathleen T. Alligood, Brian R. Hunt, Martin Casdagli, Eric J. Kostelich and Aleksey V. Zimin. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.