J. Garnier

51 total papers · 510 total citations
24 papers, 415 citations indexed

About

J. Garnier is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, J. Garnier has authored 24 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in J. Garnier's work include Block Copolymer Self-Assembly (6 papers), ZnO doping and properties (5 papers) and Vagus Nerve Stimulation Research (4 papers). J. Garnier is often cited by papers focused on Block Copolymer Self-Assembly (6 papers), ZnO doping and properties (5 papers) and Vagus Nerve Stimulation Research (4 papers). J. Garnier collaborates with scholars based in France, Belgium and Ireland. J. Garnier's co-authors include Estelle Appert, Vincent Consonni, Odette Chaix‐Pluchery, Romain Parize, Anne Kaminski‐Cachopo, M. Zelsmann, Ian M. Povey, Martyn E. Pemble, Jeff A. Hamilton and G. Millot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry of Materials and Advanced Functional Materials.

In The Last Decade

J. Garnier

22 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
J. Garnier	286	250	93	73	46	24	415
Byungki Jung	214 0.7×	166 0.7×	59 0.6×	95 1.3×	37 0.8×	20	386
Weiheng Zhong	261 0.9×	188 0.8×	59 0.6×	65 0.9×	16 0.3×	20	385
Oliver Picht	240 0.8×	191 0.8×	119 1.3×	165 2.3×	64 1.4×	13	457
Xuefeng Li	233 0.8×	210 0.8×	103 1.1×	84 1.2×	178 3.9×	17	454
Christine Berven	183 0.6×	237 0.9×	84 0.9×	129 1.8×	84 1.8×	29	395
Mariama Rebello Sousa Dias	181 0.6×	244 1.0×	105 1.1×	126 1.7×	140 3.0×	23	454
Bethany M. Hudak	252 0.9×	170 0.7×	60 0.6×	67 0.9×	51 1.1×	34	451
Chloé Minnai	138 0.5×	101 0.4×	95 1.0×	161 2.2×	45 1.0×	18	386
Eduardo Cuervo‐Reyes	238 0.8×	239 1.0×	121 1.3×	70 1.0×	59 1.3×	30	488
Patrizio Benzo	238 0.8×	117 0.5×	176 1.9×	156 2.1×	72 1.6×	27	436

Countries citing papers authored by J. Garnier

Since Specialization

Citations

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

Fields of papers citing papers by J. Garnier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Garnier

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