Simon Gravel

32.7k citations
40 papers · 3.4k indexed · 2 hit papers · h-index 22
Topics
Genetic Associations and Epidemiology (27 papers)Genetic and phenotypic traits in livestock (13 papers)Genetic diversity and population structure (11 papers)
Partner nations
CanadaUnited StatesSpain

In The Last Decade

Simon Gravel

37 papers receiving 3.3k citations

Hit Papers

Human Demographic History Impacts Genetic Risk Prediction...201720262020202320172023250500750

Peers

Simon Gravel
Comparison fields: 5 of 169
  • Genetics 2.5k
  • Molecular Biology 768
  • Archeology 219
  • Cancer Research 144
  • Ecology 135
Replace Andrés Ruiz‐Linares with:
Andrés Ruiz‐Linares United Kingdom
Sohini Ramachandran United States
Daniel J. Lawson United Kingdom
Mark Seielstad United States
Michael F. Hammer United States
Évelyne Heyer France
Agnar Helgason Iceland
Cynthia M. Beall United States
Sridhar Kudaravalli United States
Hua Tang United States
Simon Gravel relative to Andrés Ruiz‐Linares United Kingdom Andrés Ruiz‐Linares's profile →
Citations per field
00.5×3.7×
Andrés Ruiz‐Linares · 1×
Citations per year

Countries citing papers authored by Simon Gravel

Since Specialization
Citations

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

Fields of papers citing papers by Simon Gravel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Gravel

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Gravel. A scholar is included among the top collaborators of Simon Gravel 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 Simon Gravel. Simon Gravel 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 1
2 0
3 1
4
A weakly structured stem for human origins in Africabreakdown →
56
5 17
6 27
7 15
8 6
9 22
10 17
11
Learning proposals for sequential importance samplers using reinforced variational inference.
0
12 51
13 120
14 16
15 19
16 151
17 52
18 107
19 8
20 439

About Simon Gravel

Simon Gravel is a scholar working on Genetics, Statistics and Probability and Anthropology, having authored 40 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (27 papers), Genetic and phenotypic traits in livestock (13 papers) and Genetic diversity and population structure (11 papers). The work is most often cited by research in Genetics (2.5k citations), Archeology (219 citations) and Paleontology (105 citations). Simon Gravel has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Carlos D. Bustamante, Eimear E. Kenny, Brian K. Maples, Christopher R. Gignoux, Aaron P. Ragsdale, Alicia R. Martin, Mark J. Daly, Benjamin M. Neale, Genevieve L. Wojcik and Raymond K. Walters. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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