Andrew Lacey

2.6k total citations
88 papers, 1.8k citations indexed

About

Andrew Lacey is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Andrew Lacey has authored 88 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 25 papers in Applied Mathematics and 21 papers in Mathematical Physics. Recurrent topics in Andrew Lacey's work include Advanced Mathematical Modeling in Engineering (24 papers), Nonlinear Partial Differential Equations (18 papers) and Stability and Controllability of Differential Equations (14 papers). Andrew Lacey is often cited by papers focused on Advanced Mathematical Modeling in Engineering (24 papers), Nonlinear Partial Differential Equations (18 papers) and Stability and Controllability of Differential Equations (14 papers). Andrew Lacey collaborates with scholars based in United Kingdom, New Zealand and Slovakia. Andrew Lacey's co-authors include Sam Howison, J. Bebernes, J. R. Ockendon, J. R. Ockendon, Christos Nikolopoulos, A. B. Tayler, A. B. Movchan, G.C. Wake, M. Reading and Juan Luís Vázquez and has published in prestigious journals such as Earth and Planetary Science Letters, Combustion and Flame and Journal of Food Engineering.

In The Last Decade

Andrew Lacey

83 papers receiving 1.6k citations

Peers

Andrew Lacey
Comparison fields: 5 of 112
  • Applied Mathematics 650
  • Computational Theory and Mathematics 600
  • Mathematical Physics 472
  • Control and Systems Engineering 347
  • Computational Mechanics 323
Replace Giovanni Leoni with:
Giovanni Leoni United States
Victor J. Mizel United States
Augusto Visintin Italy
Régis Monneau France
A.A. Samarskii Slovakia
Tomáš Roubı́ček Czechia
С. Л. Соболев Russia
Luc Tartar United States
Juan Dávila Chile
Irene Fonseca United States
Giovanni Leoni United States View profile →
Citations per field, relative to Andrew Lacey
Andrew Lacey · 1×
Citations per year, relative to Andrew Lacey
Andrew Lacey · 1×

Countries citing papers authored by Andrew Lacey

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Lacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Lacey

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Lacey. A scholar is included among the top collaborators of Andrew Lacey 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 Andrew Lacey. Andrew Lacey 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
# Work Indexed citations
1 0
2 1
3 2
4 8
5 34
6
Models of consumer behaviour
4
7 12
8 17
9 17
10 95
11 64
12 42
13 8
14 32
15 3
16 18
17 47
18 34
19 33
20 47

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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