Raphaël Riva

3.1k total citations
59 papers, 2.3k citations indexed

About

Raphaël Riva is a scholar working on Organic Chemistry, Biomaterials and Polymers and Plastics. According to data from OpenAlex, Raphaël Riva has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Organic Chemistry, 27 papers in Biomaterials and 14 papers in Polymers and Plastics. Recurrent topics in Raphaël Riva's work include Advanced Polymer Synthesis and Characterization (22 papers), biodegradable polymer synthesis and properties (21 papers) and Click Chemistry and Applications (11 papers). Raphaël Riva is often cited by papers focused on Advanced Polymer Synthesis and Characterization (22 papers), biodegradable polymer synthesis and properties (21 papers) and Click Chemistry and Applications (11 papers). Raphaël Riva collaborates with scholars based in Belgium, France and United Kingdom. Raphaël Riva's co-authors include Christine Jérôme, Philippe Lecomte, Robert Jérôme, Stéphanie Schmeits, Michaël Alexandre, Thomas Defize, Sandrine Lenoir, Haiying Li, Christophe Detrembleur and Jean‐Michel Thomassin and has published in prestigious journals such as Macromolecules, Chemical Communications and Journal of Colloid and Interface Science.

In The Last Decade

Raphaël Riva

58 papers receiving 2.2k citations

Peers

Raphaël Riva
Comparison fields: 5 of 106
  • Organic Chemistry 1.1k
  • Biomaterials 1.1k
  • Polymers and Plastics 590
  • Molecular Biology 426
  • Biomedical Engineering 356
Replace Louis M. Pitet with:
Louis M. Pitet United States
Weipu Zhu China
Panayiotis Bilalis Greece
Laetitia Mespouille Belgium
Robert J. Ono United States
Shunsuke Chatani Japan
Brian D. Mather United States
Jianbiao Ma China
François Stoffelbach France
Mingxiao Deng China
Louis M. Pitet United States View profile →
Citations per field, relative to Raphaël Riva
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Citations per year, relative to Raphaël Riva
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Countries citing papers authored by Raphaël Riva

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Riva

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 35
4 9
5 23
6 15
7 4
8 41
9
Comparative study of PCL shape-memory networks with Diels-Alder or Alder-ene adducts
1
10 21
11 14
12 160
13 45
14 121
15 21
16 2
17 35
18 73
19 176
20 46

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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