Lora Billings

1.3k total citations
49 papers, 960 citations indexed

About

Lora Billings is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Lora Billings has authored 49 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 17 papers in Public Health, Environmental and Occupational Health and 14 papers in Genetics. Recurrent topics in Lora Billings's work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (13 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Lora Billings is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (13 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Lora Billings collaborates with scholars based in United States, Italy and Netherlands. Lora Billings's co-authors include Ira B. Schwartz, Derek A. T. Cummings, Leah B. Shaw, Erik M. Bollt, Donald S. Burke, William M. Spears, Eric Forgoston, M. I. Dykman, Zonghua Liu and James H. Curry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Lora Billings

48 papers receiving 909 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lora Billings United States 18 421 346 256 205 173 49 960
Carl P. Simon United States 14 251 0.6× 186 0.5× 219 0.9× 85 0.4× 63 0.4× 28 1.1k
Yuliya N. Kyrychko United Kingdom 20 396 0.9× 239 0.7× 397 1.6× 275 1.3× 64 0.4× 48 1.1k
S. Blythe United Kingdom 18 833 2.0× 212 0.6× 382 1.5× 412 2.0× 87 0.5× 32 1.7k
Konstantin B. Blyuss United Kingdom 22 639 1.5× 284 0.8× 528 2.1× 261 1.3× 171 1.0× 66 1.4k
Hernán G. Solari Argentina 23 520 1.2× 641 1.9× 228 0.9× 469 2.3× 213 1.2× 92 1.9k
Antoine Allard Canada 19 213 0.5× 819 2.4× 409 1.6× 110 0.5× 146 0.8× 64 1.5k
Leah B. Shaw United States 19 394 0.9× 429 1.2× 254 1.0× 102 0.5× 164 0.9× 42 1.4k
L.H.A. Monteiro Brazil 19 249 0.6× 350 1.0× 211 0.8× 267 1.3× 57 0.3× 116 1.1k
E.J. Allen United States 19 385 0.9× 158 0.5× 318 1.2× 41 0.2× 51 0.3× 67 1.4k
Somdatta Sinha India 16 355 0.8× 225 0.7× 133 0.5× 206 1.0× 74 0.4× 47 1.2k

Countries citing papers authored by Lora Billings

Since Specialization
Citations

This map shows the geographic impact of Lora Billings'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 Lora Billings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora Billings more than expected).

Fields of papers citing papers by Lora Billings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora Billings. 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 Lora Billings. The network helps show where Lora Billings may publish in the future.

Co-authorship network of co-authors of Lora Billings

This figure shows the co-authorship network connecting the top 25 collaborators of Lora Billings. A scholar is included among the top collaborators of Lora Billings 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 Lora Billings. Lora Billings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Forgoston, Eric, et al.. (2022). Characterizing outbreak vulnerability in a stochastic SIS model with an external disease reservoir. Journal of The Royal Society Interface. 19(192). 20220253–20220253. 1 indexed citations
2.
Thorne, Michael A. S., Eric Forgoston, Lora Billings, & Anje‐Margriet Neutel. (2021). Matrix Scaling and Tipping Points. SIAM Journal on Applied Dynamical Systems. 20(2). 1090–1103. 2 indexed citations
3.
Billings, Lora & Eric Forgoston. (2017). Seasonal forcing in stochastic epidemiology models. Ricerche di Matematica. 67(1). 27–47. 14 indexed citations
4.
Krumins, Jennifer Adams, Valdis Krumins, Eric Forgoston, Lora Billings, & Wim H. van der Putten. (2015). Herbivory and Stoichiometric Feedbacks to Primary Production. PLoS ONE. 10(6). e0129775–e0129775. 14 indexed citations
5.
Billings, Lora, et al.. (2014). Analysis and Control of Pre-extinction Dynamics in Stochastic Populations. Bulletin of Mathematical Biology. 76(12). 3122–3137. 6 indexed citations
6.
Billings, Lora. (2013). Succeeding in Undergraduate Student Research: A Few Helpful Hints for Advisors. PRIMUS. 23(9). 798–804. 2 indexed citations
7.
Burton, Jackson, Lora Billings, Derek A. T. Cummings, & Ira B. Schwartz. (2012). Disease persistence in epidemiological models: The interplay between vaccination and migration. Mathematical Biosciences. 239(1). 91–96. 18 indexed citations
8.
Shaw, Lauren, et al.. (2010). Effective vaccination policies. Information Sciences. 180(19). 3728–3744. 5 indexed citations
9.
Thomas, Diana M., et al.. (2009). When to Spray: a Time-Scale Calculus Approach to Controlling the Impact of West Nile Virus. Ecology and Society. 14(2). 17 indexed citations
10.
Shaw, Leah B., Lora Billings, & Ira B. Schwartz. (2007). Using dimension reduction to improve outbreak predictability of multistrain diseases. Journal of Mathematical Biology. 55(1). 1–19. 9 indexed citations
11.
Billings, Lora, et al.. (2007). Vaccinations in disease models with antibody-dependent enhancement. Mathematical Biosciences. 211(2). 265–281. 27 indexed citations
12.
Billings, Lora, et al.. (2006). Instabilities in multiserotype disease models with antibody-dependent enhancement. Journal of Theoretical Biology. 246(1). 18–27. 45 indexed citations
13.
Billings, Lora, et al.. (2005). The effect of vaccinations in an immigrant model. Mathematical and Computer Modelling. 42(3-4). 291–299. 26 indexed citations
14.
Schwartz, Ira B., et al.. (2005). Chaotic desynchronization of multistrain diseases. Physical Review E. 72(6). 66201–66201. 44 indexed citations
15.
Billings, Lora, et al.. (2004). Stochastic bifurcation in a driven laser system: Experiment and theory. Physical Review E. 70(2). 26220–26220. 14 indexed citations
16.
Schwartz, Ira B., Lora Billings, & Erik M. Bollt. (2004). Dynamical epidemic suppression using stochastic prediction and control. Physical Review E. 70(4). 46220–46220. 20 indexed citations
17.
Lai, Ying-Cheng, Zonghua Liu, Lora Billings, & Ira B. Schwartz. (2003). Noise-induced unstable dimension variability and transition to chaos in random dynamical systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(2). 26210–26210. 41 indexed citations
18.
Billings, Lora & Ira B. Schwartz. (2002). Exciting chaos with noise: unexpected dynamics in epidemic outbreaks. Journal of Mathematical Biology. 44(1). 31–48. 64 indexed citations
19.
Billings, Lora, Erik M. Bollt, & Ira B. Schwartz. (2002). Phase-Space Transport of Stochastic Chaos in Population Dynamics of Virus Spread. Physical Review Letters. 88(23). 234101–234101. 37 indexed citations
20.
Liu, Zonghua, Ying‐Cheng Lai, Lora Billings, & Ira B. Schwartz. (2002). Transition to Chaos in Continuous-Time Random Dynamical Systems. Physical Review Letters. 88(12). 124101–124101. 26 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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