Andrew Allison

846 citations
55 papers · 500 · h-index 14

Impact in

Papers in

Andrew Allison

51 papers receiving 483 citations

Peers

Andrew Allison
Comparison fields: 5 of 114
  • Statistical and Nonlinear Physics 141
  • Modeling and Simulation 19
  • Computer Networks and Communications 69
  • Energy Engineering and Power Technology 8
  • Applied Mathematics 26
Replace Yu. M. Suhov with:
Yu. M. Suhov Russia
Mohammad Sajid Saudi Arabia
William Ott United States
Achim Klenke Germany
Dohyun Kim South Korea
Enrica Pirozzi Italy
Barnabás M. Garay Hungary
Jianguo Tan China
M.‐O. Hongler Switzerland
Vlada Limic United States
Andrew Allison relative to Yu. M. Suhov Russia Yu. M. Suhov's profile →
Citations per field
00.5×
Yu. M. Suhov · 1×
Citations per year

Countries citing papers authored by Andrew Allison

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew Allison, 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 Andrew Allison Line = papers co-authored together Andrew Allison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 200142
3 200431
4 201329
5 200326
6 201422
7 201820
8 201519
9 201618
10 201818
11 202117
12 200417
13 200217
14 202313
15 200113
16 200412
17 200012
18 200311
19 20198
20 20148

About Andrew Allison

Andrew Allison is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 55 papers that have together received 500 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (7 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Gene Regulatory Network Analysis (6 papers), Fractal and DNA sequence analysis (5 papers), Control Systems and Identification (4 papers), Chaos-based Image/Signal Encryption (4 papers), Ecosystem dynamics and resilience (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (141 citations), Modeling and Simulation (19 citations), Computer Networks and Communications (69 citations), Energy Engineering and Power Technology (8 citations) and Applied Mathematics (26 citations). Andrew Allison has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Derek Abbott, Matthew J. Berryman, Raúl Toral, H. Eugene Stanley, Samuel Picton Drake, Youngki Lee, Azhar Iqbal, James M. Chappell, Brendon J. Coventry and Tālis J. Putniņš. Their work appears in journals such as IEEE Access, Scientific Reports, PLoS ONE, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Communications Biology.

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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