David G. Notton

70 total papers · 424 total citations
40 papers, 278 citations indexed

About

David G. Notton is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, David G. Notton has authored 40 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ecology, Evolution, Behavior and Systematics, 14 papers in Genetics and 12 papers in Insect Science. Recurrent topics in David G. Notton's work include Hymenoptera taxonomy and phylogeny (31 papers), Plant and animal studies (22 papers) and Fossil Insects in Amber (16 papers). David G. Notton is often cited by papers focused on Hymenoptera taxonomy and phylogeny (31 papers), Plant and animal studies (22 papers) and Fossil Insects in Amber (16 papers). David G. Notton collaborates with scholars based in United Kingdom, Romania and United States. David G. Notton's co-authors include Peter Neerup Buhl, Gavin R. Broad, Lubomír Masner, Alfried P. Vogler, Rosemary S. Hails, Cuong Q. Tang, Paula Arribas, Claire Carvell, Thomas J. Creedy and Carmelo Andújar and has published in prestigious journals such as eLife, Methods in Ecology and Evolution and Molecular Ecology Resources.

In The Last Decade

David G. Notton

36 papers receiving 258 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David G. Notton	223	114	81	44	28	40	278
Y. Miles Zhang	239 1.1×	156 1.4×	100 1.2×	81 1.8×	32 1.1×	41	308
Nikolay Simov	193 0.9×	115 1.0×	77 1.0×	72 1.6×	57 2.0×	43	286
Daniell Rodrigo Rodrigues Fernandes	186 0.8×	130 1.1×	71 0.9×	27 0.6×	38 1.4×	65	251
Elaine Françoso	200 0.9×	166 1.5×	149 1.8×	49 1.1×	36 1.3×	25	279
Povilas Ivinskis	165 0.7×	131 1.1×	126 1.6×	53 1.2×	36 1.3×	55	252
Peter Neerup Buhl	235 1.1×	186 1.6×	48 0.6×	46 1.0×	43 1.5×	57	316
David J. L. Agassiz	144 0.6×	124 1.1×	78 1.0×	50 1.1×	47 1.7×	46	233
Fengxiang Liu	225 1.0×	84 0.7×	154 1.9×	26 0.6×	22 0.8×	33	329
Maxwell V. L. Barclay	151 0.7×	63 0.6×	70 0.9×	73 1.7×	22 0.8×	41	223
J. A. Berry	181 0.8×	200 1.8×	53 0.7×	109 2.5×	46 1.6×	32	297

Countries citing papers authored by David G. Notton

Since Specialization

Citations

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

Fields of papers citing papers by David G. Notton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Notton

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

All Works

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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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