Marina Rafajlović

1.6k citations
30 papers · 925 indexed · 1 hit paper · h-index 14
Topics
Genetic diversity and population structure (16 papers)Evolution and Genetic Dynamics (14 papers)Animal Behavior and Reproduction (5 papers)

In The Last Decade

Marina Rafajlović

30 papers receiving 919 citations

Hit Papers

Interpreting the genomic landscape of speciation: a road ...20172026202020232017100200300

Peers

Marina Rafajlović
Comparison fields: 5 of 55
  • Genetics 667
  • Molecular Biology 236
  • Ecology 235
  • Ecology, Evolution, Behavior and Systematics 218
  • Plant Science 129
Replace Christelle Fraïssé with:
Christelle Fraïssé France
José Cerca Norway
Sean Stankowski United Kingdom
Josephine R. Paris United Kingdom
Cuong Q. Tang United Kingdom
Gemma E. Beatty United Kingdom
Siri Birkeland Norway
Beate Nürnberger United Kingdom
Juan A. Galarza Finland
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Citations per field
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Citations per year

Countries citing papers authored by Marina Rafajlović

Since Specialization
Citations

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

Fields of papers citing papers by Marina Rafajlović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Rafajlović

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Rafajlović. A scholar is included among the top collaborators of Marina Rafajlović 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 Marina Rafajlović. Marina Rafajlović 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 13
3 13
4 4
5 18
6 2
7 9
8 42
9 21
10 4
11 20
12 3
13 9
14 2
15 9
16 9
17 20
18 89
19 16
20 32

About Marina Rafajlović

Marina Rafajlović is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Oceanography, having authored 30 papers that have together received 925 indexed citations. Recurring topics across this work include Genetic diversity and population structure (16 papers), Evolution and Genetic Dynamics (14 papers) and Animal Behavior and Reproduction (5 papers). The work is most often cited by research in Genetics (667 citations), Ecological Modeling (65 citations) and Ecology, Evolution, Behavior and Systematics (218 citations). Marina Rafajlović has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Roger K. Butlin, Anja M. Westram, Rui Faria, B. Mehlig, Mark Ravinet, Kerstin Johannesson, Juan Galindo, Mohamed A. F. Noor, Marina Panova and Tomas Larsson. Their work appears in journals such as PLoS ONE, The American Naturalist and Genetics.

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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