Muriel Gevrey

2.6k total citations · 1 hit paper
27 papers, 2.0k citations indexed

About

Muriel Gevrey is a scholar working on Nature and Landscape Conservation, Ecology and Environmental Engineering. According to data from OpenAlex, Muriel Gevrey has authored 27 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nature and Landscape Conservation, 12 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Muriel Gevrey's work include Fish Ecology and Management Studies (10 papers), Freshwater macroinvertebrate diversity and ecology (6 papers) and Hydrological Forecasting Using AI (5 papers). Muriel Gevrey is often cited by papers focused on Fish Ecology and Management Studies (10 papers), Freshwater macroinvertebrate diversity and ecology (6 papers) and Hydrological Forecasting Using AI (5 papers). Muriel Gevrey collaborates with scholars based in France, New Zealand and Netherlands. Muriel Gevrey's co-authors include Sovan Lek, Ioannis Dimopoulos, Sue Worner, Loïc Tudesque, Gaël Grenouillet, Dick de Zwart, Sébastien Brosse, Young‐Seuk Park, Luc Legal and Margaret A. Palmer and has published in prestigious journals such as The Science of The Total Environment, Water Research and Environmental Pollution.

In The Last Decade

Muriel Gevrey

27 papers receiving 1.9k citations

Hit Papers

Review and comparison of methods to study the contributio... 2003 2026 2010 2018 2003 250 500 750

Peers

Muriel Gevrey
Comparison fields: 5 of 172
  • Ecology 511
  • Nature and Landscape Conservation 400
  • Environmental Engineering 336
  • Water Science and Technology 286
  • Global and Planetary Change 200
Ioannis Dimopoulos Greece
Masahiro Ryo Germany
Kurt K. Benke Australia
Christopher J. Post United States
Zhen Yu China
Haiyan Wei China
Yan Gao China
George Z. Gertner United States
F. Jay Breidt United States
Kai Liu China
Ioannis Dimopoulos Greece View profile →
Citations per field, relative to Muriel Gevrey
Muriel Gevrey · 1×
Citations per year, relative to Muriel Gevrey
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Countries citing papers authored by Muriel Gevrey

Since Specialization
Citations

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

Fields of papers citing papers by Muriel Gevrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muriel Gevrey

This figure shows the co-authorship network connecting the top 25 collaborators of Muriel Gevrey. A scholar is included among the top collaborators of Muriel Gevrey 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 Muriel Gevrey. Muriel Gevrey 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
# Work Indexed citations
1 78
2 16
3 33
4 34
5 57
6 40
7 1
8 8
9 43
10 19
11 14
12 7
13 44
14 24
15 32
16 63
17 77
18 31
19 64
20
Typology and prediction of diatom assemblages in rivers: building of database and first predictive model.
1

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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