C. Peteuil

1.1k total citations · 1 hit paper
10 papers, 749 citations indexed

About

C. Peteuil is a scholar working on Ecology, Soil Science and Water Science and Technology. According to data from OpenAlex, C. Peteuil has authored 10 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Soil Science and 4 papers in Water Science and Technology. Recurrent topics in C. Peteuil's work include Hydrology and Sediment Transport Processes (9 papers), Soil erosion and sediment transport (8 papers) and Hydrology and Watershed Management Studies (4 papers). C. Peteuil is often cited by papers focused on Hydrology and Sediment Transport Processes (9 papers), Soil erosion and sediment transport (8 papers) and Hydrology and Watershed Management Studies (4 papers). C. Peteuil collaborates with scholars based in France, United States and Japan. C. Peteuil's co-authors include Rollin H. Hotchkiss, Qingchao Guo, George W. Annandale, Yongtao Cao, Hsiao‐Wen Wang, Gregory L. Morris, G. Mathias Kondolf, Zhongmei Wang, Caiping Wu and Enhui Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth Surface Processes and Landforms and Journal of Hydraulic Engineering.

In The Last Decade

C. Peteuil

9 papers receiving 714 citations

Hit Papers

Sustainable sediment management in reservoirs and regulat... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Peteuil France 5 501 372 348 173 108 10 749
Kaidao Fu China 8 487 1.0× 311 0.8× 366 1.1× 177 1.0× 96 0.9× 17 864
Caiping Wu China 3 371 0.7× 275 0.7× 296 0.9× 143 0.8× 84 0.8× 8 613
Yongtao Cao China 2 372 0.7× 275 0.7× 297 0.9× 144 0.8× 84 0.8× 4 606
Zhilin Wei China 3 377 0.8× 278 0.7× 301 0.9× 145 0.8× 85 0.8× 7 630
Jinyou Lu China 12 513 1.0× 352 0.9× 319 0.9× 180 1.0× 81 0.8× 36 662
Stanford Gibson United States 11 356 0.7× 240 0.6× 219 0.6× 188 1.1× 128 1.2× 34 653
Qingchao Guo China 12 537 1.1× 410 1.1× 448 1.3× 275 1.6× 108 1.0× 19 1.0k
George W. Annandale United States 7 588 1.2× 396 1.1× 459 1.3× 209 1.2× 137 1.3× 39 987
Kaisa Västilä Finland 15 651 1.3× 491 1.3× 324 0.9× 275 1.6× 178 1.6× 38 906
Yunping Yang China 16 555 1.1× 273 0.7× 492 1.4× 376 2.2× 150 1.4× 52 875

Countries citing papers authored by C. Peteuil

Since Specialization
Citations

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

Fields of papers citing papers by C. Peteuil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Peteuil

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

All Works

10 of 10 papers shown
2.
Peteuil, C., et al.. (2018). Toward an operational approach for the characterization and modelling of fine sediments dynamics in reservoirs. SHILAP Revista de lepidopterología. 40. 3028–3028. 3 indexed citations
3.
Guertault, Lucie, B. Camenen, André Paquier, & C. Peteuil. (2017). A one‐dimensional process‐based approach to study reservoir sediment dynamics during management operations. Earth Surface Processes and Landforms. 43(2). 373–386. 10 indexed citations
4.
Peteuil, C., et al.. (2016). Using an eco-friendly flushing event to calibrate 3D sediment transport model through a reservoir: the case study of Champagneux run-of-river dam on the Rhöne River, France. Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau). 49–53. 2 indexed citations
5.
Guertault, Lucie, et al.. (2016). One-Dimensional Modeling of Suspended Sediment Dynamics in Dam Reservoirs. Journal of Hydraulic Engineering. 142(10). 18 indexed citations
6.
Kondolf, G. Mathias, George W. Annandale, Gregory L. Morris, et al.. (2014). Sustainable sediment management in reservoirs and regulated rivers: Experiences from five continents. Earth s Future. 2(5). 256–280. 604 indexed citations breakdown →
7.
Guertault, Lucie, B. Camenen, C. Peteuil, & André Paquier. (2014). Long term evolution of a dam reservoir subjected to regular flushing events. Advances in geosciences. 39. 89–94. 11 indexed citations
8.
Recking, Alain, et al.. (2012). Testing bedload transport equations with consideration of time scales. Earth Surface Processes and Landforms. 37(7). 774–789. 96 indexed citations
9.
Peteuil, C., et al.. (2010). La méthode ANETO : un outil pour la prédétermination des débits de crue des bassins versants torrentiels des Pyrénées françaises. Sciences Eaux & Territoires. Numéro 2(2). 116–116. 1 indexed citations
10.
Peteuil, C., et al.. (2010). Approches géomorphologiques de la production sédimentaire des torrents. Sciences Eaux & Territoires. Numéro 2(2). 128–128. 2 indexed citations

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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