Muriel Gevrey
- Ecology top 5%
- Nature and Landscape Conservation top 5%
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Co-authors
- Sovan LekIoannis DimopoulosSue WornerLoïc TudesqueGaël GrenouilletDick de ZwartSébastien BrosseYoung‐Seuk Park
- Topics
- Fish Ecology and Management Studies (10 papers)Freshwater macroinvertebrate diversity and ecology (6 papers)Hydrological Forecasting Using AI (5 papers)
- Partner nations
- FranceNew ZealandNetherlands
In The Last Decade
Muriel Gevrey
27 papers receiving 1.9k citations
Hit Papers
Peers
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
Countries citing papers authored by Muriel Gevrey
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
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
| # | 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 |
About Muriel Gevrey
Muriel Gevrey is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Ecology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (10 papers), Freshwater macroinvertebrate diversity and ecology (6 papers) and Hydrological Forecasting Using AI (5 papers). The work is most often cited by research in Nature and Landscape Conservation (400 citations), Ecological Modeling (134 citations) and Environmental Engineering (336 citations). Muriel Gevrey has collaborated with scholars based in France, New Zealand and Netherlands. Frequent 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. Their work appears in journals such as The Science of The Total Environment, Water Research and Environmental Pollution.
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.