Peter E. Smouse

55.5k citations
81 papers · 46.3k · 6 hit papers · h-index 37

Impact in

  • Genetics top 0.01%
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Fish Ecology and Management Studies
    • Ecology and Vegetation Dynamics Studies

Papers in

    • Genetic diversity and population structure 42
    • Genetic and phenotypic traits in livestock 15
    • Genetic Mapping and Diversity in Plants and Animals 14
    • Evolution and Genetic Dynamics 10
    • Forensic and Genetic Research 9
    • Plant and animal studies 11

Peter E. Smouse

81 papers receiving 44.3k citations

Peter E. Smouse's Hit Papers

GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update 2012 · 10.8k citations
10.8k0+13+26Years since publication4.0k8.0k12.0k

Peers

Peter E. Smouse
Comparison fields: 5 of 200
  • Genetics 24.9k
  • Nature and Landscape Conservation 7.3k
  • Ecology, Evolution, Behavior and Systematics 10.6k
  • Ecology 12.9k
  • Ecological Modeling 2.0k
Replace Jérôme Goudet with:
Jérôme Goudet Switzerland
Masatoshi Nei United States
Rod Peakall Australia
François Rousset France
Bruce S. Weir United States
Arndt von Haeseler Austria
Alexandros Stamatakis Germany
David Posada Spain
Laurent Excoffier Switzerland
Julio Rozas Spain
Peter E. Smouse relative to Jérôme Goudet Switzerland Jérôme Goudet's profile →
Citations per field
00.5×1.5×
Jérôme Goudet · 1×
Citations per year

Countries citing papers authored by Peter E. Smouse

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Smouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Smouse. 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 Peter E. Smouse. The network helps show where Peter E. Smouse may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter E. Smouse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter E. Smouse Line = papers co-authored together Peter E. Smouse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
genalex 6: genetic analysis in Excel. Population genetic software for teaching and research
Hit paper breakdown →
200513962
2
Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data.
Hit paper breakdown →
199212336
3
GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update
Hit paper breakdown →
201210832
4
A movement ecology paradigm for unifying organismal movement research
Hit paper breakdown →
20082197
5
Multiple Regression and Correlation Extensions of the Mantel Test of Matrix Correspondence
Hit paper breakdown →
19861909
6
RAPD variation within and among natural populations of outcrossing buffalograss [Buchloë dactyloides (Nutt.) Engelm.]
Hit paper breakdown →
1993742
7 1994419
8 1981353
9 1995343
10 2006293
11 2002216
12 2008164
13 1992163
14
Population amalgamation and genetic variation: observations on artificially agglomerated tribal populations of Central and South America.
1988157
15 1986106
16 200597
17 201787
18 199783
19
Microevolution in lower Central America: genetic characterization of the Chibcha-speaking groups of Costa Rica and Panama, and a consensus taxonomy based on genetic and linguistic affinity.
199082
20 198280

About Peter E. Smouse

Peter E. Smouse is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Ecology and Plant Science, having authored 81 papers that have together received 46.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (42 papers), Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Plant and animal studies (11 papers), Evolution and Genetic Dynamics (10 papers), Genomics and Phylogenetic Studies (9 papers), Forensic and Genetic Research (9 papers) and Animal Ecology and Behavior Studies (6 papers). The work is most often cited by research in Genetics (24.9k citations), Nature and Landscape Conservation (7.3k citations), Ecology, Evolution, Behavior and Systematics (10.6k citations), Ecology (12.9k citations) and Ecological Modeling (2.0k citations). Peter E. Smouse has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Rod Peakall, Laurent Excoffier, Joseph M. Quattro, Jeffrey C. Long, Robert R. Sokal, David R. Huff, Wayne Marcus Getz, David Saltz, Ran Nathan and Eloy Revilla. Their work appears in journals such as Molecular Ecology, Genetics, The American Naturalist, American Journal of Physical Anthropology and 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.

Explore authors with similar magnitude of impact