Dane Taylor

2.5k citations
51 papers · 1.7k · h-index 19

Impact in

Papers in

Dane Taylor

48 papers receiving 1.7k citations

Peers

Dane Taylor
Comparison fields: 5 of 130
  • Statistical and Nonlinear Physics 508
  • Civil and Structural Engineering 535
  • Computer Networks and Communications 385
  • Cognitive Neuroscience 193
  • Computational Mathematics 5
Replace Glenn Vinnicombe with:
Glenn Vinnicombe United Kingdom
H.A. Larrondo Argentina
Márton Pósfai United States
Peng Ji China
P. Perlikowski Poland
Fatihcan M. Atay Germany
Xiao Fan Wang China
Conrad J. Pérez-Vicente Spain
Rui Yang United States
Dean Korošak Slovenia
Dane Taylor relative to Glenn Vinnicombe United Kingdom Glenn Vinnicombe's profile →
Citations per field
00.5×2×4×6×7.5×
Glenn Vinnicombe · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dane Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dane Taylor Line = papers co-authored together Dane Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012254
2 2016168
3 2015147
4 2017131
5 2014115
6 2015104
7 201391
8 201471
9 202164
10 201459
11 201656
12 201549
13 201037
14 202330
15 201329
16 202228
17 201723
18 201621
19 202120
20 201218

About Dane Taylor

Dane Taylor is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Civil and Structural Engineering, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Opinion Dynamics and Social Influence (10 papers), Vibration Control and Rheological Fluids (8 papers), Seismic Performance and Analysis (8 papers), Structural Engineering and Vibration Analysis (7 papers), Neural dynamics and brain function (7 papers) and Neural Networks Stability and Synchronization (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (508 citations), Civil and Structural Engineering (535 citations), Computer Networks and Communications (385 citations), Cognitive Neuroscience (193 citations) and Computational Mathematics (5 citations). Dane Taylor has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Jie Sun, Per Sebastian Skardal, Michael C. Constantinou, D. T. R. Pasala, A. M. Reinhorn, Satish Nagarajaiah, Apostolos A. Sarlis, Peter J. Mucha, Erik M. Bollt and Mason Alexander Porter. Their work appears in journals such as Physical review. E, Journal of Structural Engineering, Multiscale Modeling and Simulation, Chaos An Interdisciplinary Journal of Nonlinear Science and Physica D Nonlinear Phenomena.

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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