Andrew Pickering

2.0k citations
103 papers · 1.5k · h-index 21

Impact in

Papers in

Andrew Pickering

96 papers receiving 1.4k citations

Peers

Andrew Pickering
Comparison fields: 5 of 75
  • Statistical and Nonlinear Physics 1.4k
  • Geometry and Topology 517
  • Modeling and Simulation 200
  • Numerical Analysis 177
  • Spectroscopy 266
Replace Zuo-Nong Zhu with:
Zuo-Nong Zhu China
Wen Xiu China
Lou Sen‐Yue China
Yong-Jiang Guo China
Bao‐Feng Feng United States
I. S. Krasil’shchik Russia
Abdullahi Rashid Adem South Africa
N. Kh. Ibragimov Sweden
Giampaolo Cicogna Italy
Andrew Pickering relative to Zuo-Nong Zhu China Zuo-Nong Zhu's profile →
Citations per field
00.5×1.5×2.2×
Zuo-Nong Zhu · 1×
Citations per year

Countries citing papers authored by Andrew Pickering

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Pickering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993111
2 199999
3 199385
4 199976
5 199874
6 199572
7 199172
8 199657
9 199754
10 200153
11 200534
12 200034
13 200631
14 199529
15 200727
16 199425
17 199924
18 200223
19 201723
20 200522

About Andrew Pickering

Andrew Pickering is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Spectroscopy, Numerical Analysis and Mathematical Physics, having authored 103 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (86 papers), Nonlinear Photonic Systems (55 papers), Advanced Differential Equations and Dynamical Systems (21 papers), Molecular spectroscopy and chirality (19 papers), Algebraic structures and combinatorial models (15 papers), Numerical methods for differential equations (11 papers), Quantum chaos and dynamical systems (9 papers) and Fractional Differential Equations Solutions (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Geometry and Topology (517 citations), Modeling and Simulation (200 citations), Numerical Analysis (177 citations) and Spectroscopy (266 citations). Andrew Pickering has collaborated with scholars based in Spain, United Kingdom and China. Frequent co-authors include Pilar R. Gordoa, Allan P. Fordy, Nalini Joshi, Zuo-Nong Zhu, Robert Conte, Peter A. Clarkson, Nikolay A. Kudryashov, C. R. Gilson, Micheline Musette and Jonathan A. D. Wattis. Their work appears in journals such as Physics Letters A, Communications in Nonlinear Science and Numerical Simulation, Journal of Differential Equations, Applied Mathematics and Computation 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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