Emily Stone

2.9k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Emily Stone is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Emily Stone has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Statistical and Nonlinear Physics and 9 papers in Computational Mechanics. Recurrent topics in Emily Stone's work include Nonlinear Dynamics and Pattern Formation (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Emily Stone is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Emily Stone collaborates with scholars based in United States, Canada and Finland. Emily Stone's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Emily Stone

35 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The dynamics of coherent structures in the wall region of a turbulent boundary layer

1988 920 citations Nadine Aubry, Philip Holmes et al. profile →

Peers

Emily Stone

SNP

CM

CNC

GPC

EE

Gregory P. King United Kingdom

Georg A. Gottwald Australia

I.G. Kevrekidis United States

Morten Brøns Denmark

Jinqiao Duan United States

Grigorios A. Pavliotis United Kingdom

John J. Sidorowich United States

Gabriel J. Lord United Kingdom

R. Friedrich Germany

José M. Vega Spain

Gregory P. King United Kingdom

Emily Stone

794 ×0.9

SNP

353 ×0.4

CM

488 ×1.3

CNC

343 ×1.7

GPC

99 ×0.6

EE

Citations per year, relative to Emily Stone Emily Stone (= 1×) peers Gregory P. King

Countries citing papers authored by Emily Stone

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Mokhtari, Elham Bayat, et al.. (2021). Decoding influenza outbreaks in a rural region of the USA with archetypal analysis. Spatial and Spatio-temporal Epidemiology. 38. 100437–100437.

2.

Yi, Feng, et al.. (2021). Septohippocampal transmission from parvalbumin-positive neurons features rapid recovery from synaptic depression. Scientific Reports. 11(1). 2117–2117. 4 indexed citations

3.

Landguth, Erin L., Zachary A. Holden, Jonathan M. Graham, et al.. (2020). The delayed effect of wildfire season particulate matter on subsequent influenza season in a mountain west region of the USA. Environment International. 139. 105668–105668. 74 indexed citations

4.

Mokhtari, Elham Bayat, J. Josh Lawrence, & Emily Stone. (2018). Data Driven Models of Short-Term Synaptic Plasticity. Frontiers in Computational Neuroscience. 12. 32–32. 4 indexed citations

5.

Johnson, Tammi L., Erin L. Landguth, & Emily Stone. (2016). Modeling Relapsing Disease Dynamics in a Host-Vector Community. PLoS neglected tropical diseases. 10(2). e0004428–e0004428. 12 indexed citations

6.

Smith, Michael O., Benjamin B. Holloway, Ferenc Erdélyi, et al.. (2015). Measuring aggregation of events about a mass using spatial point pattern methods. Spatial Statistics. 13. 76–89. 5 indexed citations

7.

Stone, Emily, Heikki Haario, & J. Josh Lawrence. (2014). A kinetic model for the frequency dependence of cholinergic modulation at hippocampal GABAergic synapses. Mathematical Biosciences. 258. 162–175. 9 indexed citations

8.

Stone, Emily, et al.. (2012). Identifying neurotransmitter spill-over in hippocampal field recordings. Mathematical Biosciences. 240(2). 169–186. 5 indexed citations

9.

Holley, David C., et al.. (2011). The central cavity in trimeric glutamate transporters restricts ligand diffusion. Proceedings of the National Academy of Sciences. 108(36). 14980–14985. 12 indexed citations

10.

Campbell, Sue Ann, Emily Stone, & Thomas Erneux. (2009). Delay induced canards in a model of high speed machining. Dynamical Systems. 24(3). 373–392. 11 indexed citations

11.

Stone, Emily, et al.. (2007). The Glutamate and Chloride Permeation Pathways Are Colocalized in Individual Neuronal Glutamate Transporter Subunits. Journal of Neuroscience. 27(11). 2938–2942. 79 indexed citations

12.

Stone, Emily, et al.. (2006). Investigations of Nonlinear Forces in Metal Cutting. 2(1-2). 59–79.

13.

Armbruster, Dieter, Emily Stone, & Vivien Kirk. (2003). Noisy heteroclinic networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 13(1). 71–79. 38 indexed citations

14.

Ashwin, Peter & Emily Stone. (1997). Influence of noise near blowout bifurcation. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 56(2). 1635–1641. 9 indexed citations

15.

Palacios, Antonio, Dieter Armbruster, Eric J. Kostelich, & Emily Stone. (1996). Analyzing the dynamics of cellular flames. Physica D Nonlinear Phenomena. 96(1-4). 132–161. 12 indexed citations

16.

Stone, Emily & Adele Cutler. (1996). Introduction to archetypal analysis of spatio-temporal dynamics. Physica D Nonlinear Phenomena. 96(1-4). 110–131. 26 indexed citations

17.

Berkooz, Gal, Philip Holmes, J. L. Lumley, Nadine Aubry, & Emily Stone. (1994). Observations regarding ‘‘Coherence and chaos in a model of turbulent boundary layer’’ by X. Zhou and L. Sirovich [Phys. Fluids A 4, 2855 (1992)]. Physics of Fluids. 6(4). 1574–1578. 7 indexed citations

18.

Miranda, Rick & Emily Stone. (1993). The proto-Lorenz system. Physics Letters A. 178(1-2). 105–113. 84 indexed citations

19.

Stone, Emily. (1992). Frequency entrainment of a phase coherent attractor. Physics Letters A. 163(5-6). 367–374. 80 indexed citations

20.

Stone, Emily & Philip Holmes. (1989). Noise induced intermittency in a model of a turbulent boundary layer. Physica D Nonlinear Phenomena. 37(1-3). 20–32. 33 indexed citations

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.

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