Raphaël Turgis

44 total papers · 638 total citations
22 papers, 547 citations indexed

About

Raphaël Turgis is a scholar working on Inorganic Chemistry, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Raphaël Turgis has authored 22 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Inorganic Chemistry, 9 papers in Industrial and Manufacturing Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Raphaël Turgis's work include Radioactive element chemistry and processing (10 papers), Extraction and Separation Processes (9 papers) and Ionic liquids properties and applications (7 papers). Raphaël Turgis is often cited by papers focused on Radioactive element chemistry and processing (10 papers), Extraction and Separation Processes (9 papers) and Ionic liquids properties and applications (7 papers). Raphaël Turgis collaborates with scholars based in France, United States and United Kingdom. Raphaël Turgis's co-authors include Guilhem Arrachart, Stéphane Pellet‐Rostaing, Micheline Draye, Sandrine Dourdain, Antoine Leydier, Julien Estager, Jean‐Marc Lévêque, Marie‐Christine Scherrmann, Isabelle Billault and Stéphanie Michel and has published in prestigious journals such as Chemistry of Materials, Langmuir and Chemical Communications.

In The Last Decade

Raphaël Turgis

22 papers receiving 539 citations

Author Peers

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

Author Last Decade Papers Cites
Raphaël Turgis 243 223 186 166 109 22 547
Glen A. Clark 180 0.7× 183 0.8× 148 0.8× 104 0.6× 37 0.3× 15 491
S. Subramaniam 286 1.2× 193 0.9× 115 0.6× 80 0.5× 137 1.3× 14 552
G.N. Case 284 1.2× 163 0.7× 168 0.9× 63 0.4× 34 0.3× 17 476
Qinggang Huang 349 1.4× 210 0.9× 183 1.0× 62 0.4× 68 0.6× 32 576
Takahiko Kakoi 184 0.8× 363 1.6× 108 0.6× 97 0.6× 59 0.5× 28 447
Philip R. Brown 119 0.5× 156 0.7× 90 0.5× 246 1.5× 39 0.4× 16 610
G.J. Goetz-Grandmont 218 0.9× 219 1.0× 82 0.4× 118 0.7× 31 0.3× 36 473
Wiesław Apostoluk 114 0.5× 331 1.5× 117 0.6× 103 0.6× 46 0.4× 42 584
James T.M. Amphlett 269 1.1× 192 0.9× 193 1.0× 27 0.2× 70 0.6× 27 525
Jerzy Strzelbicki 160 0.7× 212 1.0× 77 0.4× 134 0.8× 19 0.2× 18 533

Countries citing papers authored by Raphaël Turgis

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Turgis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Turgis

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