Matthew R. Hyde

888 total citations
9 papers, 362 citations indexed

About

Matthew R. Hyde is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Matthew R. Hyde has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 5 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Matthew R. Hyde's work include Optimization and Packing Problems (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Scheduling and Optimization Algorithms (3 papers). Matthew R. Hyde is often cited by papers focused on Optimization and Packing Problems (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Scheduling and Optimization Algorithms (3 papers). Matthew R. Hyde collaborates with scholars based in United Kingdom, China and Brazil. Matthew R. Hyde's co-authors include Edmund Burke, Graham Kendall, John R. Woodward, Gabriela Ochoa, Gisele L. Pappa, Jerry Swan, Alex A. Freitas, Neena Modi, Chris P Gale and Karen Logan and has published in prestigious journals such as Journal of the Operational Research Society, IEEE Transactions on Evolutionary Computation and Computers & Operations Research.

In The Last Decade

Matthew R. Hyde

9 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew R. Hyde United Kingdom 7 220 212 80 66 43 9 362
Oliver Bastert Germany 4 42 0.2× 95 0.4× 95 1.2× 41 0.6× 53 1.2× 5 251
Carlos Mencía Spain 12 179 0.8× 242 1.1× 54 0.7× 45 0.7× 66 1.5× 28 362
Emin Erkan Korkmaz Türkiye 6 157 0.7× 98 0.5× 73 0.9× 78 1.2× 41 1.0× 24 277
Roberto Asín‐Achá Chile 8 73 0.3× 57 0.3× 74 0.9× 35 0.5× 68 1.6× 21 188
Matthias Englert United Kingdom 10 57 0.3× 89 0.4× 70 0.9× 38 0.6× 195 4.5× 30 283
F. Margot Switzerland 7 33 0.1× 123 0.6× 132 1.6× 63 1.0× 45 1.0× 10 258
Winfried Hochstättler Germany 11 27 0.1× 114 0.5× 155 1.9× 25 0.4× 54 1.3× 52 323
Manzhan Gu China 9 85 0.4× 235 1.1× 31 0.4× 27 0.4× 100 2.3× 21 331
Daniel Cosmin Porumbel France 7 63 0.3× 129 0.6× 48 0.6× 86 1.3× 34 0.8× 17 186
Raúl Héctor Gallard Argentina 9 112 0.5× 101 0.5× 65 0.8× 11 0.2× 49 1.1× 45 224

Countries citing papers authored by Matthew R. Hyde

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Hyde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Hyde. 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 Matthew R. Hyde. The network helps show where Matthew R. Hyde may publish in the future.

Co-authorship network of co-authors of Matthew R. Hyde

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

All Works

9 of 9 papers shown
1.
Pappa, Gisele L., Gabriela Ochoa, Matthew R. Hyde, et al.. (2013). Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genetic Programming and Evolvable Machines. 15(1). 3–35. 69 indexed citations
2.
Hyde, Matthew R., Edmund Burke, & Graham Kendall. (2012). Automated code generation by local search. Journal of the Operational Research Society. 64(12). 1725–1741. 4 indexed citations
3.
4.
Burke, Edmund, Matthew R. Hyde, Graham Kendall, & John R. Woodward. (2011). Automating the Packing Heuristic Design Process with Genetic Programming. Evolutionary Computation. 20(1). 63–89. 68 indexed citations
5.
Burke, Edmund, Matthew R. Hyde, & Graham Kendall. (2011). Grammatical Evolution of Local Search Heuristics. IEEE Transactions on Evolutionary Computation. 16(3). 406–417. 65 indexed citations
6.
Burke, Edmund, Matthew R. Hyde, & Graham Kendall. (2010). A squeaky wheel optimisation methodology for two-dimensional strip packing. Computers & Operations Research. 38(7). 1035–1044. 29 indexed citations
7.
Burke, Edmund, Matthew R. Hyde, & Graham Kendall. (2010). Providing a memory mechanism to enhance the evolutionary design of heuristics. 1–8. 6 indexed citations
8.
Burke, Edmund, Matthew R. Hyde, Graham Kendall, & John R. Woodward. (2007). The scalability of evolved on line bin packing heuristics. 2530–2537. 33 indexed citations
9.
Burke, Edmund, Matthew R. Hyde, Graham Kendall, & John R. Woodward. (2007). Automatic heuristic generation with genetic programming. 1559–1565. 78 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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