Dane Taylor

2.4k total citations
46 papers, 1.3k citations indexed

About

Dane Taylor is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Civil and Structural Engineering. According to data from OpenAlex, Dane Taylor has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 12 papers in Computer Networks and Communications and 10 papers in Civil and Structural Engineering. Recurrent topics in Dane Taylor's work include Complex Network Analysis Techniques (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Seismic Performance and Analysis (8 papers). Dane Taylor is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Seismic Performance and Analysis (8 papers). Dane Taylor collaborates with scholars based in United States, United Kingdom and Spain. Dane Taylor's co-authors include Jie Sun, Per Sebastian Skardal, A. M. Reinhorn, Michael C. Constantinou, A. A. Sarlis, Satish Nagarajaiah, D. T. R. Pasala, Peter J. Mucha, Erik M. Bollt and Mason A. Porter and has published in prestigious journals such as Physical Review Letters, Nature Communications and PLoS ONE.

In The Last Decade

Dane Taylor

44 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
Dane Taylor United States 17 487 413 338 174 128 46 1.3k
Ling Hong China 18 141 0.3× 534 1.3× 287 0.8× 58 0.3× 29 0.2× 85 1.1k
Qingdu Li China 23 111 0.2× 1.1k 2.6× 707 2.1× 227 1.3× 41 0.3× 118 1.7k
P. Perlikowski Poland 28 599 1.2× 1.1k 2.8× 1.3k 3.8× 180 1.0× 55 0.4× 91 2.3k
Steven J. Cox United States 23 246 0.5× 193 0.5× 41 0.1× 192 1.1× 152 1.2× 65 1.5k
Jian-Xue Xu China 19 86 0.2× 688 1.7× 393 1.2× 216 1.2× 78 0.6× 83 1.1k
Andrzej Stefański Poland 25 168 0.3× 1.1k 2.8× 1.2k 3.6× 122 0.7× 47 0.4× 85 2.0k
B.R. Davis Australia 15 240 0.5× 162 0.4× 162 0.5× 55 0.3× 50 0.4× 43 699
Huiqing Zhang China 17 42 0.1× 623 1.5× 230 0.7× 97 0.6× 175 1.4× 38 973
Piotr Kowalczyk Poland 12 81 0.2× 814 2.0× 390 1.2× 72 0.4× 30 0.2× 28 1.6k

Countries citing papers authored by Dane Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Dane Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dane Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Dane Taylor. A scholar is included among the top collaborators of Dane Taylor 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 Dane Taylor. Dane Taylor 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
2.
Taylor, Dane, et al.. (2024). A Parrondo paradox in susceptible-infectious-susceptible dynamics over periodic temporal networks. Mathematical Biosciences. 378. 109336–109336.
3.
Gao, Zhongke, Dibakar Ghosh, Heather A. Harrington, Juan G. Restrepo, & Dane Taylor. (2023). Dynamics on networks with higher-order interactions. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(4). 26 indexed citations
5.
Hu, Yingjie, Brian M. Quigley, & Dane Taylor. (2021). Human mobility data and machine learning reveal geographic differences in alcohol sales and alcohol outlet visits across U.S. states during COVID-19. PLoS ONE. 16(12). e0255757–e0255757. 15 indexed citations
6.
Walker, Benjamin L., Dane Taylor, Josh Lawrimore, et al.. (2019). Transient crosslinking kinetics optimize gene cluster interactions. PLoS Computational Biology. 15(8). e1007124–e1007124. 10 indexed citations
7.
Li, Zichao, Peter J. Mucha, & Dane Taylor. (2018). Network-Ensemble Comparisons with Stochastic Rewiring and Von Neumann Entropy. SIAM Journal on Applied Mathematics. 78(2). 897–920. 4 indexed citations
8.
Skardal, Per Sebastian, Dane Taylor, Jie Sun, & Àlex Arenas. (2016). Collective frequency variation in network synchronization and reverse PageRank. Physical review. E. 93(4). 42314–42314. 7 indexed citations
9.
Taylor, Dane, Saray Shai, Natalie Stanley, & Peter J. Mucha. (2016). Enhanced Detectability of Community Structure in Multilayer Networks through Layer Aggregation. Physical Review Letters. 116(22). 228301–228301. 48 indexed citations
10.
Taylor, Dane, Per Sebastian Skardal, & Jie Sun. (2016). Synchronization of Heterogeneous Oscillators Under Network Modifications: Perturbation and Optimization of the Synchrony Alignment Function. SIAM Journal on Applied Mathematics. 76(5). 1984–2008. 16 indexed citations
11.
Skardal, Per Sebastian, Dane Taylor, Jie Sun, & Àlex Arenas. (2015). Erosion of synchronization: Coupling heterogeneity and network structure. Physica D Nonlinear Phenomena. 323-324. 40–48. 8 indexed citations
12.
Skardal, Per Sebastian, Dane Taylor, Jie Sun, & Àlex Arenas. (2015). Erosion of synchronization in networks of coupled oscillators. Physical Review E. 91(1). 10802–10802. 46 indexed citations
13.
Taylor, Dane, Florian Klimm, Heather A. Harrington, et al.. (2014). Complex contagions on noisy geometric networks.. arXiv (Cornell University). 1 indexed citations
14.
Skardal, Per Sebastian, Dane Taylor, & Juan G. Restrepo. (2013). Complex macroscopic behavior in systems of phase oscillators with adaptive coupling. Physica D Nonlinear Phenomena. 267. 27–35. 26 indexed citations
15.
Taylor, Dane & Daniel B. Larremore. (2012). Social Climber attachment in forming networks produces phase transition in "connectivity". arXiv (Cornell University). 1 indexed citations
16.
Taylor, Dane & Daniel B. Larremore. (2012). Social climber attachment in forming networks produces a phase transition in a measure of connectivity. Physical Review E. 86(3). 31140–31140. 6 indexed citations
17.
Taylor, Dane & Juan G. Restrepo. (2011). Network connectivity during mergers and growth: Optimizing the addition of a module. Physical Review E. 83(6). 66112–66112. 10 indexed citations
18.
Taylor, Dane, Edward Ott, & Juan G. Restrepo. (2010). Spontaneous synchronization of coupled oscillator systems with frequency adaptation. Physical Review E. 81(4). 46214–46214. 32 indexed citations
19.
Susmel, Luca, Dane Taylor, & R. Tovo. (2008). On the Estimation of Notch Fatigue Limits by Using the Theory of Critical Distances:$L$,$a_{0}$ and Open Notches. 4(1). 1–18. 5 indexed citations
20.
Shastry, Ashutosh, Dane Taylor, & K. F. Böhringer. (2007). Micro-Structured Surface Ratchets for Droplet Transport. TRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference. 1353–1356. 12 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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