Jonathan Weare
- Astronomy and Astrophysics top 2%
- Molecular Biology
- Instrumentation top 2%
- Materials Chemistry
- Nuclear and High Energy Physics top 5%
- Co-authors
- Jonathan GoodmanBenoı̂t RouxAaron R. DinnerEric Vanden‐EijndenGregory A. VothErik H. ThiedeJames F. DamaAnton V. Sinitskiy
- Topics
- Protein Structure and Dynamics (10 papers)Markov Chains and Monte Carlo Methods (7 papers)Climate variability and models (6 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jonathan Weare
49 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Astronomy and Astrophysics 1.3k
- Molecular Biology 431
- Instrumentation 329
- Materials Chemistry 262
- Nuclear and High Energy Physics 262
Countries citing papers authored by Jonathan Weare
This map shows the geographic impact of Jonathan Weare'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 Jonathan Weare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Weare more than expected).
Fields of papers citing papers by Jonathan Weare
This network shows the impact of papers produced by Jonathan Weare. 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 Jonathan Weare. The network helps show where Jonathan Weare may publish in the future.
Co-authorship network of co-authors of Jonathan Weare
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Weare. A scholar is included among the top collaborators of Jonathan Weare 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 Jonathan Weare. Jonathan Weare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 22 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | 13 | |
| 19 | 14 | |
| 20 | DATA ASSIMILATION IN THE LOW NOISE, ACCURATE OBSERVATION REGIME WITH APPLICATION TO THE KUROSHIO CURRENT | 4 |
About Jonathan Weare
Jonathan Weare is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Atmospheric Science, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Markov Chains and Monte Carlo Methods (7 papers) and Climate variability and models (6 papers). The work is most often cited by research in Instrumentation (329 citations), Astronomy and Astrophysics (1.3k citations) and Nuclear and High Energy Physics (262 citations). Jonathan Weare has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jonathan Goodman, Benoı̂t Roux, Aaron R. Dinner, Eric Vanden‐Eijnden, Gregory A. Voth, Erik H. Thiede, James F. Dama, Anton V. Sinitskiy, Martin McCullagh and Robert J. Webber. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.