Grégoire Loïs

21 total papers · 566 total citations
9 papers, 396 citations indexed

About

Grégoire Loïs is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Grégoire Loïs has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Nature and Landscape Conservation and 4 papers in Ecological Modeling. Recurrent topics in Grégoire Loïs's work include Plant and animal studies (5 papers), Species Distribution and Climate Change (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Grégoire Loïs is often cited by papers focused on Plant and animal studies (5 papers), Species Distribution and Climate Change (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Grégoire Loïs collaborates with scholars based in France, United Kingdom and Switzerland. Grégoire Loïs's co-authors include M. S. Warren, Chris van Swaay, Romain Julliard, Fabien Leprieur, Philippe Clergeau, Nicolas Deguines, Colin Fontaine, Yikweon Jang, Emmanuelle Porcher and Jean‐Baptiste Mihoub and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Ecology and the Environment and Ecological Informatics.

In The Last Decade

Grégoire Loïs

9 papers receiving 380 citations

Author Peers

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

Author						Papers	Cites
Grégoire Loïs	244	228	189	112	73	9	396
Wouter Vanreusel	230 0.9×	174 0.8×	189 1.0×	151 1.3×	86 1.2×	10	376
Sarah J. Hill	191 0.8×	138 0.6×	121 0.6×	172 1.5×	63 0.9×	11	398
Nazirah Mustaffa	257 1.1×	212 0.9×	115 0.6×	162 1.4×	121 1.7×	9	413
Umberto Kubota	188 0.8×	167 0.7×	145 0.8×	139 1.2×	32 0.4×	13	401
Anthony J. Pik	225 0.9×	153 0.7×	115 0.6×	145 1.3×	85 1.2×	10	393
Jamie Alison	120 0.5×	144 0.6×	129 0.7×	125 1.1×	53 0.7×	18	380
Shin‐ichi Suda	184 0.8×	152 0.7×	139 0.7×	206 1.8×	70 1.0×	17	397
Padu Franco	160 0.7×	140 0.6×	163 0.9×	200 1.8×	56 0.8×	10	408
Marié Warren	151 0.6×	173 0.8×	190 1.0×	155 1.4×	118 1.6×	13	413
Marianne S. Fred	184 0.8×	196 0.9×	129 0.7×	144 1.3×	69 0.9×	11	378

Countries citing papers authored by Grégoire Loïs

Since Specialization

Citations

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

Fields of papers citing papers by Grégoire Loïs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégoire Loïs

This figure shows the co-authorship network connecting the top 25 collaborators of Grégoire Loïs. A scholar is included among the top collaborators of Grégoire Loïs 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 Grégoire Loïs. Grégoire Loïs 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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