A.G. Buchan

451 citations
30 papers · 325 · h-index 12

Impact in

Papers in

    • Nuclear reactor physics and engineering 13
    • Advanced Numerical Methods in Computational Mathematics 10
    • Lattice Boltzmann Simulation Studies 4
    • Computational Fluid Dynamics and Aerodynamics 4

A.G. Buchan

30 papers receiving 319 citations

Peers

A.G. Buchan
Comparison fields: 5 of 68
  • Computational Mechanics 119
  • Statistical and Nonlinear Physics 53
  • Aerospace Engineering 94
  • Health, Toxicology and Mutagenesis 42
  • Mathematical Physics 27
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Citations per field
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Citations per year

Countries citing papers authored by A.G. Buchan

Since Specialization
Citations

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

Fields of papers citing papers by A.G. Buchan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.G. Buchan. 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 A.G. Buchan. The network helps show where A.G. Buchan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 200548
3 202232
4 201120
5 202119
6 201819
7 202014
8 201313
9 201713
10 201312
11 202112
12 201911
13 201911
14 201210
15 20146
16 20215
17 20224
18 20193
19 20143
20 20252

About A.G. Buchan

A.G. Buchan is a scholar working on Aerospace Engineering, Computational Mechanics, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Materials Chemistry, having authored 30 papers that have together received 325 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (13 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Model Reduction and Neural Networks (8 papers), Lattice Boltzmann Simulation Studies (4 papers), Nuclear Materials and Properties (4 papers), Probabilistic and Robust Engineering Design (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Infection Control and Ventilation (3 papers). The work is most often cited by research in Computational Mechanics (119 citations), Statistical and Nonlinear Physics (53 citations), Aerospace Engineering (94 citations), Health, Toxicology and Mutagenesis (42 citations) and Mathematical Physics (27 citations). A.G. Buchan has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Christopher C. Pain, Liang Yang, Kirk D. Atkinson, R.P. Smedley‐Stevenson, Steven Dargaville, M.D. Eaton, A.J.H. Goddard, David J. Brenner, David Welch and Paul N. Smith. Their work appears in journals such as Annals of Nuclear Energy, Journal of Computational Physics, Progress in Nuclear Energy, Scientific Reports and International Journal for Numerical Methods in Engineering.

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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