Martin Hughes

1.1k total citations
22 papers, 771 citations indexed

About

Martin Hughes is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Molecular Biology. According to data from OpenAlex, Martin Hughes has authored 22 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, Evolution, Behavior and Systematics, 5 papers in Ecology and 4 papers in Molecular Biology. Recurrent topics in Martin Hughes's work include Advanced Multi-Objective Optimization Algorithms (3 papers), Wildlife Ecology and Conservation (3 papers) and Genomics and Phylogenetic Studies (3 papers). Martin Hughes is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (3 papers), Wildlife Ecology and Conservation (3 papers) and Genomics and Phylogenetic Studies (3 papers). Martin Hughes collaborates with scholars based in United Kingdom, United States and Germany. Martin Hughes's co-authors include Matthew A. Wills, Sylvain Gerber, A. Binning, Marcello Ruta, Tomochika Fujisawa, Timothy G. Barraclough, Sharon Huws, Francesco Rubino, Toby Wilkinson and Karen Siu-Ting and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Martin Hughes

21 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Hughes United Kingdom 13 253 231 140 140 138 22 771
Matthew J. Vavrek Canada 12 249 1.0× 142 0.6× 111 0.8× 176 1.3× 74 0.5× 29 656
Jostein Starrfelt Norway 16 69 0.3× 195 0.8× 60 0.4× 150 1.1× 159 1.2× 35 832
Sarah T. Friedman United States 16 224 0.9× 88 0.4× 82 0.6× 250 1.8× 125 0.9× 27 832
Morten Tange Olsen Denmark 24 41 0.2× 149 0.6× 310 2.2× 1.1k 8.0× 211 1.5× 95 1.6k
Takahiro Hirano Japan 14 72 0.3× 152 0.7× 115 0.8× 337 2.4× 83 0.6× 56 790
Christopher H. Remien United States 16 279 1.1× 37 0.2× 161 1.1× 324 2.3× 96 0.7× 35 1.0k
Liselotte Wesley Andersen Denmark 21 19 0.1× 133 0.6× 107 0.8× 818 5.8× 331 2.4× 62 1.2k
Erik Michael Rasmussen Denmark 16 53 0.2× 42 0.2× 200 1.4× 351 2.5× 122 0.9× 49 1.3k
Hans J. Baagøe Denmark 14 36 0.1× 207 0.9× 30 0.2× 536 3.8× 152 1.1× 27 683
Richard W. Heard United States 17 51 0.2× 81 0.4× 39 0.3× 696 5.0× 35 0.3× 109 1.1k

Countries citing papers authored by Martin Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hughes. A scholar is included among the top collaborators of Martin Hughes 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 Martin Hughes. Martin Hughes 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
2.
Hughes, Martin, et al.. (2021). Automatic generation of algorithms for robust optimisation problems using Grammar-Guided Genetic Programming. Computers & Operations Research. 133. 105364–105364. 8 indexed citations
3.
Richardson, James, et al.. (2019). PHYLOGENY OF TWO AFRICAN GENERA OF SAPOTACEAE – ENGLEROPHYTUM AND SYNSEPALUM. Edinburgh Journal of Botany. 76(2). 231–267. 10 indexed citations
4.
Littlewood, Nick A., et al.. (2019). The influence of different aspects of grouse moorland management on nontarget bird assemblages. Ecology and Evolution. 9(19). 11089–11101. 9 indexed citations
5.
Wilkinson, Toby, Sharon Huws, Joan E. Edwards, et al.. (2018). CowPI: A Rumen Microbiome Focussed Version of the PICRUSt Functional Inference Software. Frontiers in Microbiology. 9. 1095–1095. 110 indexed citations
6.
Hughes, Martin, Marc Goerigk, & Mike Wright. (2018). A largest empty hypersphere metaheuristic for robust optimisation with implementation uncertainty. Computers & Operations Research. 103. 64–80. 4 indexed citations
7.
Goerigk, Marc & Martin Hughes. (2018). Representative scenario construction and preprocessing for robust combinatorial optimization problems. Optimization Letters. 13(6). 1417–1431. 3 indexed citations
8.
Burridge, Alice K., A.W. Janssen, Martin Hughes, et al.. (2017). Time-calibrated molecular phylogeny of pteropods. PLoS ONE. 12(6). e0177325–e0177325. 24 indexed citations
9.
Hughes, Martin, et al.. (2015). What limits the morphological disparity of clades?. Interface Focus. 5(6). 20150042–20150042. 35 indexed citations
10.
Hughes, Martin, et al.. (2015). Why should we investigate the morphological disparity of plant clades?. Annals of Botany. 117(5). 859–879. 40 indexed citations
11.
Hughes, Martin, Sylvain Gerber, & Matthew A. Wills. (2013). Clades reach highest morphological disparity early in their evolution. Proceedings of the National Academy of Sciences. 110(34). 13875–13879. 181 indexed citations
12.
Wills, Matthew A., Sylvain Gerber, Marcello Ruta, & Martin Hughes. (2012). The disparity of priapulid, archaeopriapulid and palaeoscolecid worms in the light of new data. Journal of Evolutionary Biology. 25(10). 2056–2076. 74 indexed citations
13.
Minderman, Jeroen, et al.. (2010). Novel environment exploration and home range size in starlings Sturnus vulgaris. Behavioral Ecology. 21(6). 1321–1329. 57 indexed citations
14.
Barraclough, Timothy G., et al.. (2009). Inferring evolutionarily significant units of bacterial diversity from broad environmental surveys of single-locus data. Biology Letters. 5(3). 425–428. 59 indexed citations
15.
Hughes, Martin, et al.. (2003). Acute respiratory distress syndrome: an audit of incidence and outcome in Scottish intensive care units. Anaesthesia. 58(9). 838–845. 40 indexed citations
16.
Archer, Michael, Phillip C. Watts, Michael P. Speed, et al.. (2002). Polymorphic microsatellite loci for eusocial wasps (Hymenoptera: Vespidae). Molecular Ecology Notes. 2(3). 273–275. 35 indexed citations
17.
Henderson, Monika, Thomas J. Ward, G. F. Harrison, & Martin Hughes. (2001). Creep and Thermomechanical Fatigue Modelling of Single Crystal Superalloy Turbine Blades. Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; IGTI Scholar Award. 1 indexed citations
18.
Hughes, Martin, et al.. (2001). Effects of a weaning protocol on ventilated pediatric intensive care unit (PICU) patients.. PubMed. 22(2). 35–43. 16 indexed citations
19.
Hughes, Martin & A. Binning. (2000). Intravenous amiodarone in intensive care. Intensive Care Medicine. 26(12). 1730–1739. 39 indexed citations
20.
Hughes, Martin. (1982). Terrorism and National Security. Philosophy. 57(219). 5–25. 8 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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