Nina Marchi

1.8k citations
17 papers · 453 indexed · 1 hit paper · h-index 11
Topics
Genetic diversity and population structure (8 papers)Forensic and Genetic Research (8 papers)Genetic and phenotypic traits in livestock (3 papers)
Partner nations
FranceSwitzerlandRussia

In The Last Decade

Nina Marchi

17 papers receiving 408 citations

Hit Papers

fastsimcoal2: demographic inference under complex evoluti...2021202620222024202150100150200

Peers

Nina Marchi
Comparison fields: 5 of 77
  • Genetics 252
  • Molecular Biology 91
  • Ecology 73
  • Economics and Econometrics 67
  • Sociology and Political Science 55
Replace Robert W. White with:
Robert W. White Australia
Moniz Bandeira Brazil
Zuyao Liu China
Alfred Russel Wallace United States
Henry Walter Bates
Jay Odenbaugh United States
Daniel Polakow South Africa
Donald F. Gartside Australia
Robert McGregor Canada
Thomas P. Snyder United States
Nina Marchi relative to Robert W. White Australia Robert W. White's profile →
Citations per field
00.5×10×20×30.5×
Robert W. White · 1×
Citations per year

Countries citing papers authored by Nina Marchi

Since Specialization
Citations

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

Fields of papers citing papers by Nina Marchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Marchi

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 8
3 2
4 2
5 32
6
fastsimcoal2: demographic inference under complex evolutionary scenariosbreakdown →
209
7 10
8 31
9 11
10 16
11 24
12 7
13 1
14 34
15 25
16 24
17 16

About Nina Marchi

Nina Marchi is a scholar working on Developmental Biology, Genetics and General Economics, Econometrics and Finance, having authored 17 papers that have together received 453 indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Forensic and Genetic Research (8 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Genetics (252 citations), Ecological Modeling (23 citations) and General Economics, Econometrics and Finance (40 citations). Nina Marchi has collaborated with scholars based in France, Switzerland and Russia. Frequent co-authors include Laurent Excoffier, Remi Matthey‐Doret, David A. Marques, Alexandre Gouy, Vítor C. Sousa, Évelyne Heyer, Laure Ségurel, Tatyana Hegay, Sophie Lafosse and R. Laurent. Their work appears in journals such as Bioinformatics, Current Biology and Scientific Reports.

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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