G. Caporale

927 total citations
13 papers, 707 citations indexed

About

G. Caporale is a scholar working on Food Science, Plant Science and Sensory Systems. According to data from OpenAlex, G. Caporale has authored 13 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Food Science, 5 papers in Plant Science and 4 papers in Sensory Systems. Recurrent topics in G. Caporale's work include Sensory Analysis and Statistical Methods (6 papers), Olfactory and Sensory Function Studies (4 papers) and Organic Food and Agriculture (3 papers). G. Caporale is often cited by papers focused on Sensory Analysis and Statistical Methods (6 papers), Olfactory and Sensory Function Studies (4 papers) and Organic Food and Agriculture (3 papers). G. Caporale collaborates with scholars based in Italy and Finland. G. Caporale's co-authors include Erminio Monteleone, A. Carlucci, Fabio Napolitano, Mario Bertuccioli, Fabio Favati, Luisa Torri, Caterina Dinnella, Hely Tuorila, Ella Pagliarini and P. Romano and has published in prestigious journals such as Food Research International, Journal of the Science of Food and Agriculture and Food Quality and Preference.

In The Last Decade

G. Caporale

13 papers receiving 673 citations

Peers

G. Caporale
Comparison fields: 5 of 69
  • Food Science 461
  • Plant Science 228
  • Organic Chemistry 137
  • Animal Science and Zoology 123
  • Nutrition and Dietetics 122
Replace Marina Peparaio with:
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Laurence Fillion United Kingdom
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Ragnhild Solheim Sweden
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Mara V. Galmarini Argentina
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Citations per field, relative to G. Caporale
G. Caporale · 1×
Citations per year, relative to G. Caporale
G. Caporale · 1×

Countries citing papers authored by G. Caporale

Since Specialization
Citations

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

Fields of papers citing papers by G. Caporale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 46
2 43
3 14
4 80
5 149
6 66
7 163
8 41
9 26
10
A methodological approach to the selection of Saccharomyces cerevisiae wine strains
15
11
Analisi della preferenza dei consumatori per l'olio extra vergine di oliva.
1
12
Use of slope analysis to characterize consumer preference for virgin olive oil
3
13 60

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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