M. J. Garside

467 total citations
8 papers, 351 citations indexed

About

M. J. Garside is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, M. J. Garside has authored 8 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Computational Mechanics. Recurrent topics in M. J. Garside's work include Advanced Statistical Methods and Models (1 paper), Electromagnetic Scattering and Analysis (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). M. J. Garside is often cited by papers focused on Advanced Statistical Methods and Models (1 paper), Electromagnetic Scattering and Analysis (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). M. J. Garside collaborates with scholars based in United Kingdom. M. J. Garside's co-authors include J.P.C. Kleijnen, Keith Hope and Patrick L. Odell and has published in prestigious journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of the Royal Statistical Society Series A (General) and Journal of the Royal Statistical Society Series D (The Statistician).

In The Last Decade

M. J. Garside

8 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. J. Garside United Kingdom 7 89 88 39 36 31 8 351
Jagdish S. Rustagi United States 8 57 0.6× 116 1.3× 31 0.8× 43 1.2× 74 2.4× 24 319
Olaf Bunke United States 9 61 0.7× 185 2.1× 35 0.9× 45 1.3× 50 1.6× 33 400
Harrison M. Wadsworth United States 5 40 0.4× 67 0.8× 31 0.8× 112 3.1× 23 0.7× 9 325
Paul S. Dwyer United States 12 65 0.7× 108 1.2× 69 1.8× 19 0.5× 64 2.1× 42 528
A.J. van Reeken Netherlands 4 50 0.6× 93 1.1× 7 0.2× 48 1.3× 32 1.0× 8 300
H. C. Hamaker Netherlands 10 123 1.4× 160 1.8× 30 0.8× 253 7.0× 27 0.9× 26 525
Cuthbert Daniel 3 161 1.8× 136 1.5× 16 0.4× 80 2.2× 19 0.6× 6 432
T. C. T. Kotiah United States 8 77 0.9× 20 0.2× 17 0.4× 9 0.3× 15 0.5× 16 278
Donald B. Owen United States 11 122 1.4× 292 3.3× 28 0.7× 225 6.3× 60 1.9× 16 660
Martin Schatzoff United States 10 81 0.9× 347 3.9× 33 0.8× 132 3.7× 77 2.5× 24 669

Countries citing papers authored by M. J. Garside

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Garside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Garside. 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 M. J. Garside. The network helps show where M. J. Garside may publish in the future.

Co-authorship network of co-authors of M. J. Garside

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Garside. A scholar is included among the top collaborators of M. J. Garside 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 M. J. Garside. M. J. Garside is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Garside, M. J. & J.P.C. Kleijnen. (1975). Statistical Techniques in Simulation.. Journal of the Royal Statistical Society Series A (General). 138(3). 446–446. 143 indexed citations
2.
Garside, M. J., et al.. (1972). The Generation of Random Variates.. Journal of the Royal Statistical Society Series D (The Statistician). 21(2). 143–143. 14 indexed citations
3.
Garside, M. J.. (1971). Algorithm AS 37: Inversion of a Symmetric Matrix. Journal of the Royal Statistical Society Series C (Applied Statistics). 20(1). 111–111. 7 indexed citations
4.
Garside, M. J.. (1971). Algorithm AS 38: Best Subset Search. Journal of the Royal Statistical Society Series C (Applied Statistics). 20(1). 112–112. 6 indexed citations
5.
Garside, M. J.. (1971). Some Computational Procedures for the Best Subset Problem. Journal of the Royal Statistical Society Series C (Applied Statistics). 20(1). 8–8. 31 indexed citations
6.
Garside, M. J. & Keith Hope. (1969). Methods of Multivariate Analysis.. Journal of the Royal Statistical Society Series A (General). 132(4). 576–576. 91 indexed citations
7.
Garside, M. J., et al.. (1966). Problems for Computer Solution.. Journal of the Royal Statistical Society Series A (General). 129(4). 594–594. 5 indexed citations
8.
Garside, M. J.. (1965). The Best Sub-Set in Multiple Regression Analysis. Journal of the Royal Statistical Society Series C (Applied Statistics). 14(2/3). 196–196. 54 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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