Tim Rogers

3.8k total citations · 1 hit paper
59 papers, 1.2k citations indexed

About

Tim Rogers is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Tim Rogers has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistical and Nonlinear Physics, 13 papers in Molecular Biology and 11 papers in Sociology and Political Science. Recurrent topics in Tim Rogers's work include Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (12 papers) and Evolution and Genetic Dynamics (11 papers). Tim Rogers is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (12 papers) and Evolution and Genetic Dynamics (11 papers). Tim Rogers collaborates with scholars based in United Kingdom, United States and Australia. Tim Rogers's co-authors include Jacopo Grilli, Stefano Allesina, Alan J. McKane, Isaac Pérez Castillo, Reimer Kühn, George W. A. Constable, Tommaso Biancalani, Corina E. Tarnita, Richard G. Morris and Sam Moore and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Tim Rogers

53 papers receiving 1.2k citations

Hit Papers

Modularity and stability in ecological communities 2016 2026 2019 2022 2016 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Modularity and stability in ecological communities
    2016 240 citations Jacopo Grilli, Tim Rogers et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Rogers United Kingdom 18 369 264 246 220 173 59 1.2k
Simone Pigolotti Japan 23 613 1.7× 500 1.9× 178 0.7× 312 1.4× 154 0.9× 73 1.7k
Guy Bunin Israel 14 171 0.5× 164 0.6× 312 1.3× 271 1.2× 220 1.3× 33 1.1k
Tobias Galla United Kingdom 22 403 1.1× 383 1.5× 465 1.9× 430 2.0× 116 0.7× 106 1.4k
Octavio Miramontes Mexico 22 252 0.7× 574 2.2× 233 0.9× 376 1.7× 393 2.3× 49 1.5k
Tommaso Biancalani United States 12 230 0.6× 331 1.3× 112 0.5× 166 0.8× 44 0.3× 17 799
Yaroslav Ispolatov United States 19 380 1.0× 482 1.8× 198 0.8× 257 1.2× 72 0.4× 63 1.4k
Bartłomiej Waclaw United Kingdom 20 240 0.7× 564 2.1× 149 0.6× 368 1.7× 36 0.2× 47 1.5k
A. M. Rucklidge United Kingdom 21 439 1.2× 242 0.9× 409 1.7× 286 1.3× 68 0.4× 76 1.7k
T. J. P. Penna Brazil 18 456 1.2× 123 0.5× 232 0.9× 276 1.3× 26 0.2× 63 1.3k
Christian A. Yates United Kingdom 17 131 0.4× 422 1.6× 73 0.3× 136 0.6× 55 0.3× 66 955

Countries citing papers authored by Tim Rogers

Since Specialization
Citations

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

Fields of papers citing papers by Tim Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Rogers

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Rogers. A scholar is included among the top collaborators of Tim Rogers 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 Tim Rogers. Tim Rogers 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.
Rogers, Tim, et al.. (2025). Distinguishing passive and driven trait evolution in the presence of boundaries. Methods in Ecology and Evolution. 16(9). 2067–2081. 1 indexed citations
2.
Sobota, Grzegorz, et al.. (2025). Order–disorder transition in multidirectional crowds. Proceedings of the National Academy of Sciences. 122(14). e2420697122–e2420697122.
3.
4.
Rogers, Tim, et al.. (2023). Assisted percolation of slow-spreading mutants in heterogeneous environments. Physical review. E. 108(4). 44401–44401. 1 indexed citations
5.
Kyprianou, Andreas E., et al.. (2023). Multitype Λ-coalescents. The Annals of Applied Probability. 33(6A). 1 indexed citations
6.
Rogers, Tim, et al.. (2023). Dynamics of information networks. Journal of Applied Probability. 61(3). 1029–1039.
7.
Rogers, Tim, et al.. (2023). Twelve tips for medical school faculty to support students with disabilities. Medical Teacher. 46(6). 757–762. 3 indexed citations
8.
Vittadello, Sean T., Gency Gunasingh, Nikolas K. Haass, et al.. (2021). Synchronized oscillations in growing cell populations are explained by demographic noise. Biophysical Journal. 120(8). 1314–1322. 8 indexed citations
9.
Morris, Richard G., et al.. (2020). Noise-induced schooling of fish. Nature Physics. 16(4). 488–493. 87 indexed citations
10.
Rogers, Tim, et al.. (2019). New framework for automated article selection applied to a literature review of Enhanced Biological Phosphorus Removal. PLoS ONE. 14(5). e0216126–e0216126. 11 indexed citations
11.
Metz, Fernando L., Izaak Neri, & Tim Rogers. (2018). Spectra of Sparse Non-Hermitian Random Matrices. arXiv (Cornell University). 1 indexed citations
12.
Grilli, Jacopo, et al.. (2018). Effect of population abundances on the stability of large random ecosystems. Physical review. E. 98(2). 22410–22410. 50 indexed citations
13.
Kidger, Andrew M., Linda Rushworth, Chris Bryant, et al.. (2017). Dual-specificity phosphatase 5 controls the localized inhibition, propagation, and transforming potential of ERK signaling. Proceedings of the National Academy of Sciences. 114(3). E317–E326. 67 indexed citations
14.
Yang, Qian, Tim Rogers, & Jonathan Dawes. (2017). Demographic noise slows down cycles of dominance. Journal of Theoretical Biology. 432. 157–168. 4 indexed citations
15.
Raischel, Frank, et al.. (2016). From empirical data to time-inhomogeneous continuous Markov processes. Physical review. E. 93(3). 32135–32135. 13 indexed citations
16.
Grilli, Jacopo, Tim Rogers, & Stefano Allesina. (2016). Modularity and stability in ecological communities. Nature Communications. 7(1). 12031–12031. 240 indexed citations breakdown →
17.
McKane, Alan J., Tommaso Biancalani, & Tim Rogers. (2013). Stochastic Pattern Formation and Spontaneous Polarisation: The Linear Noise Approximation and Beyond. Bulletin of Mathematical Biology. 76(4). 895–921. 54 indexed citations
18.
Caccioli, Fabio, Luca Dall’Asta, Tobias Galla, & Tim Rogers. (2013). Voter models with conserved dynamics. Physical Review E. 87(5). 52114–52114. 6 indexed citations
19.
Rogers, Tim & Isaac Pérez Castillo. (2009). Cavity approach to the spectral density of non-Hermitian sparse matrices. Physical Review E. 79(1). 12101–12101. 44 indexed citations
20.
Stoehr, F., R. L. White, Michael J. Smith, et al.. (2008). DER_SNR: A Simple & General Spectroscopic Signal-to-Noise Measurement Algorithm. NPARC. 394. 505. 3 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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