Emily Stone
- Statistical and Nonlinear Physics top 0.5%
- Computational Mechanics top 1%
- Computer Networks and Communications top 5%
- Global and Planetary Change top 10%
- Environmental Engineering top 5%
- Co-authors
- Philip HolmesNadine AubryJohn L. LumleyRick MirandaAdele CutlerDieter ArmbrusterSue Ann CampbellMichael P. Kavanaugh
- Topics
- Nonlinear Dynamics and Pattern Formation (10 papers)Neuroscience and Neuropharmacology Research (7 papers)Plant Water Relations and Carbon Dynamics (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MechanicsStatistics, Probability and Uncertainty
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Neuroscience
- Partner nations
- United StatesCanadaFinland
In The Last Decade
Emily Stone
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Statistical and Nonlinear Physics 864
- Computational Mechanics 823
- Computer Networks and Communications 390
- Global and Planetary Change 203
- Environmental Engineering 178
Countries citing papers authored by Emily Stone
This map shows the geographic impact of Emily Stone'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 Emily Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Stone more than expected).
Fields of papers citing papers by Emily Stone
This network shows the impact of papers produced by Emily Stone. 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 Emily Stone. The network helps show where Emily Stone may publish in the future.
Co-authorship network of co-authors of Emily Stone
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Stone. A scholar is included among the top collaborators of Emily Stone 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 Emily Stone. Emily Stone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 74 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 79 | |
| 12 | 0 | |
| 13 | 38 | |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 26 | |
| 17 | 7 | |
| 18 | 84 | |
| 19 | 80 | |
| 20 | 33 |
About Emily Stone
Emily Stone is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computational Mechanics, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Plant Water Relations and Carbon Dynamics (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (864 citations), Computational Mechanics (823 citations) and Statistics, Probability and Uncertainty (170 citations). Emily Stone has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Philip Holmes, Nadine Aubry, John L. Lumley, Rick Miranda, Adele Cutler, Dieter Armbruster, Sue Ann Campbell, Michael P. Kavanaugh, David C. Holley and Vivien Kirk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Neuroscience.
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.