Dane Taylor

2.4k citations
46 papers · 1.3k · h-index 17

Impact in

Papers in

Dane Taylor

44 papers receiving 1.3k citations

Peers

Dane Taylor
Comparison fields: 5 of 116
  • Statistical and Nonlinear Physics 413
  • Civil and Structural Engineering 487
  • Computer Networks and Communications 338
  • Cognitive Neuroscience 174
  • Computational Theory and Mathematics 99
Replace Qingdu Li with:
Qingdu Li China
Piotr Kowalczyk Poland
P. Perlikowski Poland
Jens Starke Germany
Glenn Vinnicombe United Kingdom
Ling Hong China
Jian-Xue Xu China
Steven J. Cox United States
Peng Ji China
Dane Taylor relative to Qingdu Li China Qingdu Li's profile →
Citations per field
00.5×4.4×
Qingdu Li · 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012229
2 2015134
3 2014106
4 201795
5 201590
6 201385
7 201465
8 202157
9 201451
10 201648
11 201546
12 201032
13 202326
14 201326
15 202225
16 201721
17 201616
18 202115
19 201214
20 202113

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 Molecular Biology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Vibration Control and Rheological Fluids (8 papers), Seismic Performance and Analysis (8 papers), Opinion Dynamics and Social Influence (7 papers), Structural Engineering and Vibration Analysis (7 papers), Neural dynamics and brain function (6 papers) and Neural Networks Stability and Synchronization (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (413 citations), Civil and Structural Engineering (487 citations), Computer Networks and Communications (338 citations), Cognitive Neuroscience (174 citations) and Computational Theory and Mathematics (99 citations). Dane Taylor has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Jie Sun, Per Sebastian Skardal, D. T. R. Pasala, Michael C. Constantinou, A. A. Sarlis, A. M. Reinhorn, Satish Nagarajaiah, Peter J. Mucha, Erik M. Bollt and Juan G. Restrepo. Their work appears in journals such as Journal of Structural Engineering, Physical review. E, Physical Review Letters, Physical Review Research and SIAM Journal on Applied Mathematics.

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.

Explore authors with similar magnitude of impact