G. Vaccari

73 total papers · 861 total citations
47 papers, 650 citations indexed

About

G. Vaccari is a scholar working on Materials Chemistry, Food Science and Biomedical Engineering. According to data from OpenAlex, G. Vaccari has authored 47 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 9 papers in Food Science and 8 papers in Biomedical Engineering. Recurrent topics in G. Vaccari's work include Crystallization and Solubility Studies (16 papers), Spectroscopy and Chemometric Analyses (7 papers) and Biofuel production and bioconversion (6 papers). G. Vaccari is often cited by papers focused on Crystallization and Solubility Studies (16 papers), Spectroscopy and Chemometric Analyses (7 papers) and Biofuel production and bioconversion (6 papers). G. Vaccari collaborates with scholars based in Italy, Poland and United Kingdom. G. Vaccari's co-authors include Elena Tamburini, G. Sgualdino, Diego Matteuzzi, G. Mantovani, Dino Aquilano, Maddalena Rossi, Krzysztof Urbaniec, Alberto Amaretti, Marco Rubbo and Jiří Jaromír Klemeš and has published in prestigious journals such as Journal of Cleaner Production, Food Chemistry and Applied Microbiology and Biotechnology.

In The Last Decade

G. Vaccari

43 papers receiving 618 citations

Author Peers

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

Author Last Decade Papers Cites
G. Vaccari 204 170 155 147 132 47 650
C. Araujo-Andrade 116 0.6× 76 0.4× 100 0.6× 108 0.7× 120 0.9× 42 692
Paul Vargas Jentzsch 86 0.4× 154 0.9× 99 0.6× 179 1.2× 58 0.4× 40 669
Nieves Núñez-Sánchez 217 1.1× 179 1.1× 224 1.4× 92 0.6× 30 0.2× 48 788
Catherine Rébufa 72 0.4× 302 1.8× 152 1.0× 98 0.7× 48 0.4× 42 652
Kevin P. Nott 90 0.4× 125 0.7× 186 1.2× 125 0.9× 54 0.4× 21 661
Parind M. Desai 129 0.6× 101 0.6× 122 0.8× 242 1.6× 125 0.9× 21 764
Szilveszter Gergely 92 0.5× 273 1.6× 125 0.8× 135 0.9× 20 0.2× 61 728
D. K. Buslov 45 0.2× 88 0.5× 157 1.0× 90 0.6× 66 0.5× 25 606
Hao Wang 178 0.9× 79 0.5× 115 0.7× 67 0.5× 94 0.7× 43 713
Marta Bevilacqua 155 0.8× 330 1.9× 178 1.1× 121 0.8× 14 0.1× 29 611

Countries citing papers authored by G. Vaccari

Since Specialization
Citations

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

Fields of papers citing papers by G. Vaccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Vaccari

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