Maud Alix

29 total papers · 514 total citations
18 papers, 321 citations indexed

About

Maud Alix is a scholar working on Nature and Landscape Conservation, Physiology and Aquatic Science. According to data from OpenAlex, Maud Alix has authored 18 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nature and Landscape Conservation, 10 papers in Physiology and 8 papers in Aquatic Science. Recurrent topics in Maud Alix's work include Fish Ecology and Management Studies (12 papers), Reproductive biology and impacts on aquatic species (10 papers) and Marine and fisheries research (7 papers). Maud Alix is often cited by papers focused on Fish Ecology and Management Studies (12 papers), Reproductive biology and impacts on aquatic species (10 papers) and Marine and fisheries research (7 papers). Maud Alix collaborates with scholars based in France, Norway and Poland. Maud Alix's co-authors include Olav Sigurd Kjesbu, Kelli Anderson, Pascal Fontaine, Dominique Chardard, Bérénice Schaerlinger, Anders Thorsen, Daniel Żarski, Sylvain Milla, Konstantinos Ganias and P. Fontaine and has published in prestigious journals such as PLoS ONE, Scientific Reports and Aquaculture.

In The Last Decade

Maud Alix

17 papers receiving 314 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maud Alix 146 133 124 75 66 18 321
P. Fontaine 150 1.0× 233 1.8× 143 1.2× 35 0.5× 40 0.6× 14 300
Amber F. Garber 61 0.4× 148 1.1× 139 1.1× 44 0.6× 95 1.4× 23 309
Lionel Goardon 94 0.6× 227 1.7× 71 0.6× 22 0.3× 74 1.1× 22 312
Lee H. Hanson 84 0.6× 77 0.6× 245 2.0× 38 0.5× 145 2.2× 16 336
N. O’Maoiléidigh 59 0.4× 120 0.9× 233 1.9× 91 1.2× 124 1.9× 21 327
Vincent Gennotte 150 1.0× 156 1.2× 99 0.8× 39 0.5× 89 1.3× 22 354
Shigenobu Okumura 47 0.3× 71 0.5× 30 0.2× 43 0.6× 35 0.5× 14 346
B. F. Goncharov 195 1.3× 119 0.9× 147 1.2× 27 0.4× 43 0.7× 20 322
Tatsuo Tsuzaki 41 0.3× 105 0.8× 166 1.3× 122 1.6× 103 1.6× 29 324
J. K. Bailey 104 0.7× 223 1.7× 194 1.6× 63 0.8× 60 0.9× 17 357

Countries citing papers authored by Maud Alix

Since Specialization
Citations

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

Fields of papers citing papers by Maud Alix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Alix

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

All Works

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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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