G.‐M. Saulnier

27 total papers · 548 total citations
11 papers, 384 citations indexed

About

G.‐M. Saulnier is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, G.‐M. Saulnier has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 9 papers in Global and Planetary Change and 3 papers in Atmospheric Science. Recurrent topics in G.‐M. Saulnier's work include Hydrology and Watershed Management Studies (11 papers), Flood Risk Assessment and Management (8 papers) and Hydrology and Drought Analysis (4 papers). G.‐M. Saulnier is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Flood Risk Assessment and Management (8 papers) and Hydrology and Drought Analysis (4 papers). G.‐M. Saulnier collaborates with scholars based in France, Switzerland and Italy. G.‐M. Saulnier's co-authors include Matthieu Le Lay, J. D. Kalma, Yann H. Kerr, Abdelghani Chehbouni, Scott A. Wooldridge, Gilles Boulet, Florence Habets, Katia Chancibault, Véronique Ducrocq and Sandrine Anquetin and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

G.‐M. Saulnier

11 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
G.‐M. Saulnier	254	241	137	120	48	11	384
Eric D. Soulis	190 0.7×	240 1.0×	150 1.1×	83 0.7×	42 0.9×	20	396
Jing Zheng	270 1.1×	308 1.3×	103 0.8×	120 1.0×	22 0.5×	13	428
Diana R. Gergel	192 0.8×	244 1.0×	143 1.0×	72 0.6×	18 0.4×	15	428
Thomas Graeff	217 0.9×	132 0.5×	85 0.6×	146 1.2×	74 1.5×	9	337
Anouk Gevaert	109 0.4×	220 0.9×	126 0.9×	138 1.1×	45 0.9×	12	352
Gregory Halverson	124 0.5×	269 1.1×	153 1.1×	206 1.7×	52 1.1×	15	421
Yongwei Liu	168 0.7×	277 1.1×	150 1.1×	139 1.2×	29 0.6×	24	421
Olivia Hitt	169 0.7×	177 0.7×	114 0.8×	131 1.1×	41 0.9×	6	355
Daniela Biondi	279 1.1×	255 1.1×	99 0.7×	151 1.3×	19 0.4×	24	366
Jakob Garvelmann	226 0.9×	123 0.5×	298 2.2×	89 0.7×	26 0.5×	14	412

Countries citing papers authored by G.‐M. Saulnier

Since Specialization

Citations

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

Fields of papers citing papers by G.‐M. Saulnier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.‐M. Saulnier. 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 G.‐M. Saulnier. The network helps show where G.‐M. Saulnier may publish in the future.

Co-authorship network of co-authors of G.‐M. Saulnier

This figure shows the co-authorship network connecting the top 25 collaborators of G.‐M. Saulnier. A scholar is included among the top collaborators of G.‐M. Saulnier 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 G.‐M. Saulnier. G.‐M. Saulnier 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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