Guilian Luchini

719 citations
8 papers · 156 indexed · h-index 5
Topics
Machine Learning in Materials Science (2 papers)Asymmetric Hydrogenation and Catalysis (2 papers)Chemistry and Chemical Engineering (1 paper)

In The Last Decade

Guilian Luchini

6 papers receiving 151 citations

Peers

Guilian Luchini
Comparison fields: 5 of 37
  • Materials Chemistry 73
  • Organic Chemistry 58
  • Computational Theory and Mathematics 49
  • Inorganic Chemistry 31
  • Physical and Theoretical Chemistry 25
Replace Wouter Heyndrickx with:
Wouter Heyndrickx Norway
Jacob Werth United States
Julia E. Borowski United States
Konstantin Troshin Germany
Anthony R. Rosales United States
Gerardo Raggi United Kingdom
Wendy L. Williams United States
Yu. É. Zevatskii Russia
Li‐Cheng Xu China
Sleight R. Smith United States
Guilian Luchini relative to Wouter Heyndrickx Norway Wouter Heyndrickx's profile →
Citations per field
00.5×1.6×
Wouter Heyndrickx · 1×
Citations per year

Countries citing papers authored by Guilian Luchini

Since Specialization
Citations

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

Fields of papers citing papers by Guilian Luchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilian Luchini

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 0
3 13
4 7
5 94
6 2
7 14
8 26

About Guilian Luchini

Guilian Luchini is a scholar working on Catalysis, Inorganic Chemistry and Organic Chemistry, having authored 8 papers that have together received 156 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers) and Chemistry and Chemical Engineering (1 paper). The work is most often cited by research in Computational Theory and Mathematics (49 citations), Physical and Theoretical Chemistry (25 citations) and Inorganic Chemistry (31 citations). Guilian Luchini has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Robert S. Paton, Seonah Kim, Peter C. St. John, Juan V. Alegre‐Requena, David M. H. Ascough, Véronique Gouverneur, Alessio Regni, Sojung F. Kim, R C Paton and Richmond Sarpong. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Accounts of Chemical Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026