Leah B. Shaw

1.9k total citations
42 papers, 1.4k citations indexed

About

Leah B. Shaw is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Leah B. Shaw has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Genetics. Recurrent topics in Leah B. Shaw's work include Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (10 papers) and Evolution and Genetic Dynamics (9 papers). Leah B. Shaw is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (10 papers) and Evolution and Genetic Dynamics (9 papers). Leah B. Shaw collaborates with scholars based in United States, Australia and Brazil. Leah B. Shaw's co-authors include Ira B. Schwartz, Kelvin H. Lee, R. K. P. Zia, Lora Billings, Derek A. T. Cummings, Donald S. Burke, Anatoly B. Kolomeisky, Simone Bianco, James P. Sethna and Bernardo A. Mello 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

Leah B. Shaw

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leah B. Shaw United States 19 429 394 288 270 254 42 1.4k
Silvio C. Ferreira Brazil 24 679 1.6× 185 0.5× 238 0.8× 262 1.0× 447 1.8× 73 1.6k
Théodore Kolokolnikov Canada 26 528 1.2× 558 1.4× 435 1.5× 265 1.0× 499 2.0× 89 2.0k
Hernán G. Solari Argentina 23 641 1.5× 520 1.3× 136 0.5× 218 0.8× 228 0.9× 92 1.9k
Chad M. Topaz United States 18 229 0.5× 349 0.9× 149 0.5× 113 0.4× 381 1.5× 44 1.6k
Guillermo Abramson Argentina 23 760 1.8× 545 1.4× 192 0.7× 73 0.3× 213 0.8× 66 1.9k
Christian A. Yates United Kingdom 17 131 0.3× 89 0.2× 422 1.5× 58 0.2× 268 1.1× 66 955
Claude Loverdo France 19 451 1.1× 173 0.4× 1.4k 5.0× 274 1.0× 90 0.4× 35 1.9k
Daniel Campos Spain 23 459 1.1× 312 0.8× 689 2.4× 183 0.7× 248 1.0× 90 1.6k
Tim Rogers United Kingdom 18 369 0.9× 128 0.3× 264 0.9× 60 0.2× 66 0.3× 59 1.2k
Carlos Escudero Spain 13 181 0.4× 72 0.2× 136 0.5× 117 0.4× 84 0.3× 40 627

Countries citing papers authored by Leah B. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Leah B. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah B. Shaw. 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 Leah B. Shaw. The network helps show where Leah B. Shaw may publish in the future.

Co-authorship network of co-authors of Leah B. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Leah B. Shaw. A scholar is included among the top collaborators of Leah B. Shaw 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 Leah B. Shaw. Leah B. Shaw 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.
Shaw, Leah B., et al.. (2024). The effect of cooperator recognition on competition among clones in spatially structured microbial communities. PLoS ONE. 19(3). e0299546–e0299546. 1 indexed citations
2.
Shaw, Leah B., et al.. (2022). Pattern formation in marsh ecosystems modeled through the interaction of marsh vegetation, mussels and sediment. Journal of Theoretical Biology. 543. 111102–111102. 2 indexed citations
3.
Schwartz, Ira B., et al.. (2018). Enhancement of large fluctuations to extinction in adaptive networks. Physical review. E. 97(1). 12308–12308. 9 indexed citations
4.
Shaw, Leah B., et al.. (2016). Growing Networks with Positive and Negative Links. W&M Publish (College of William & Mary). 2016. 1 indexed citations
5.
Tunc, Ilker, et al.. (2014). Epidemics with temporary link deactivation in scale-free networks. Journal of Physics A Mathematical and Theoretical. 47(45). 455006–455006. 9 indexed citations
6.
Shaw, Leah B., et al.. (2013). Asymptotically inspired moment-closure approximation for adaptive networks. Physical Review E. 88(5). 52804–52804. 1 indexed citations
7.
Tunc, Ilker, et al.. (2012). Epidemics in Adaptive Social Networks with Temporary Link Deactivation. Journal of Statistical Physics. 151(1-2). 355–366. 23 indexed citations
8.
Lipcius, Romuald N., et al.. (2011). Bistability in a differential equation model of oyster reef height and sediment accumulation. Journal of Theoretical Biology. 289. 1–11. 35 indexed citations
9.
Schwartz, Ira B. & Leah B. Shaw. (2010). Rewiring for adaptation. Physics. 3(17). 46 indexed citations
10.
Forgoston, Eric, Simone Bianco, Leah B. Shaw, & Ira B. Schwartz. (2010). Maximal Sensitive Dependence and the Optimal Path to Epidemic Extinction. Bulletin of Mathematical Biology. 73(3). 495–514. 19 indexed citations
11.
Shaw, Leah B. & Ira B. Schwartz. (2010). Enhanced vaccine control of epidemics in adaptive networks. Physical Review E. 81(4). 46120–46120. 99 indexed citations
12.
Shaw, Leah B. & Ira B. Schwartz. (2008). Fluctuating epidemics on adaptive networks. Physical Review E. 77(6). 66101–66101. 185 indexed citations
13.
Roy, Rajarshi, et al.. (2007). Changing Dynamical Complexity with Time Delay in Coupled Fiber Laser Oscillators. Physical Review Letters. 99(5). 53905–53905. 10 indexed citations
14.
Schwartz, Ira B. & Leah B. Shaw. (2007). Isochronal synchronization of delay-coupled systems. Physical Review E. 75(4). 46207–46207. 19 indexed citations
15.
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
16.
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
17.
Shaw, Leah B., James P. Sethna, & Kelvin H. Lee. (2004). Mean-field approaches to the totally asymmetric exclusion process with quenched disorder and large particles. Physical Review E. 70(2). 21901–21901. 49 indexed citations
18.
Mello, Bernardo A., Leah B. Shaw, & Yuhai Tu. (2004). Effects of Receptor Interaction in Bacterial Chemotaxis. Biophysical Journal. 87(3). 1578–1595. 43 indexed citations
19.
Shaw, Leah B., R. K. P. Zia, & Kelvin H. Lee. (2003). Modeling, simulations, and analyses of protein synthesis: Driven lattice gas with extended objects. arXiv (Cornell University). 6 indexed citations
20.
Shaw, Leah B., et al.. (2003). Insights into the relation between mrna and protein expression patterns: ii. Experimental observations in Escherichia coli1. Biotechnology and Bioengineering. 84(7). 834–841. 70 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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