G. M. Hewitt

19.4k citations
137 papers · 14.1k indexed · 5 hit papers · h-index 51
Topics
Genetic diversity and population structure (60 papers)Orthoptera Research and Taxonomy (38 papers)Chromosomal and Genetic Variations (35 papers)

In The Last Decade

G. M. Hewitt

136 papers receiving 13.4k citations

Hit Papers

Genetic consequences of climatic oscillations ...19852026199820122004198519891996200250010001.5k2.0k2.5k

Peers

G. M. Hewitt
Comparison fields: 5 of 148
  • Genetics 8.5k
  • Ecology, Evolution, Behavior and Systematics 5.2k
  • Ecology 3.8k
  • Plant Science 3.2k
  • Nature and Landscape Conservation 2.6k
Replace Allan J. Baker with:
Allan J. Baker Canada
Godfrey M. Hewitt United Kingdom
Timothy G. Barraclough United Kingdom
Paul Sunnucks Australia
Michael W. Bruford United Kingdom
Ted J. Case United States
Joseph M. Quattro United States
Curtis Strobeck Canada
Ruth G. Shaw United States
Gary A. Polis United States
G. M. Hewitt relative to Allan J. Baker Canada Allan J. Baker's profile →
Citations per field
00.5×1.7×
Allan J. Baker · 1×
Citations per year

Countries citing papers authored by G. M. Hewitt

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. M. Hewitt

This figure shows the co-authorship network connecting the top 25 collaborators of G. M. Hewitt. A scholar is included among the top collaborators of G. M. Hewitt 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 G. M. Hewitt. G. M. Hewitt 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
#WorkIndexed citations
1 132
2 178
3
Modelling life-history/dispersal-strategy interactions to predict and manage linyphiid spider diversity in agricultural landscapes
4
4 17
5 36
6 29
7 24
8 55
9 9
10 161
11 8
12 64
13 161
14 30
15 142
16 70
17 64
18 59
19 38
20 151

About G. M. Hewitt

G. M. Hewitt is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science, having authored 137 papers that have together received 14.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (60 papers), Orthoptera Research and Taxonomy (38 papers) and Chromosomal and Genetic Variations (35 papers). The work is most often cited by research in Ecological Modeling (1.6k citations), Genetics (8.5k citations) and Ecology, Evolution, Behavior and Systematics (5.2k citations). G. M. Hewitt has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include N. H. Barton, Nick Barton, B. John, Polychronis C. Tzedakis, Roger K. Butlin, Ciro Rico, Brent C. Emerson, Colin Ferris, Kamal M. Ibrahim and Michael R. Frogley. Their work appears in journals such as Nature, Science and Trends in Ecology & Evolution.

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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