Diego Tomasi

2.0k total citations
69 papers, 1.4k citations indexed

About

Diego Tomasi is a scholar working on Plant Science, Food Science and Biochemistry. According to data from OpenAlex, Diego Tomasi has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 41 papers in Food Science and 11 papers in Biochemistry. Recurrent topics in Diego Tomasi's work include Horticultural and Viticultural Research (58 papers), Fermentation and Sensory Analysis (38 papers) and Plant Physiology and Cultivation Studies (14 papers). Diego Tomasi is often cited by papers focused on Horticultural and Viticultural Research (58 papers), Fermentation and Sensory Analysis (38 papers) and Plant Physiology and Cultivation Studies (14 papers). Diego Tomasi collaborates with scholars based in Italy, Portugal and United Kingdom. Diego Tomasi's co-authors include Federica Gaiotti, Lorenzo Lovat, Nicola Belfiore, Gregory V. Jones, Luca Brillante, Simone Giacosa, Fabrizio Torchio, Susana Rı́o Segade, Luca Rollè and Stefano Poni and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Diego Tomasi

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diego Tomasi Italy 18 1.0k 714 290 210 185 69 1.4k
Lia‐Tânia Dinis Portugal 23 1.7k 1.6× 754 1.1× 259 0.9× 412 2.0× 173 0.9× 73 2.0k
Vittorino Novello Italy 18 938 0.9× 599 0.8× 149 0.5× 125 0.6× 206 1.1× 68 1.1k
Suzy Y. Rogiers Australia 24 1.7k 1.7× 849 1.2× 168 0.6× 449 2.1× 235 1.3× 92 2.0k
Peter R. Clingeleffer Australia 25 1.8k 1.7× 914 1.3× 231 0.8× 312 1.5× 259 1.4× 94 1.9k
Bruno Holzapfel Australia 21 1.5k 1.4× 803 1.1× 198 0.7× 348 1.7× 237 1.3× 80 1.6k
Hans R. Schultz Germany 15 1.2k 1.1× 673 0.9× 398 1.4× 423 2.0× 84 0.5× 32 1.3k
Sergio Tombesi Italy 29 2.4k 2.3× 937 1.3× 260 0.9× 583 2.8× 443 2.4× 96 2.7k
Stéfanos Koundouras Greece 24 2.2k 2.1× 1.5k 2.1× 589 2.0× 373 1.8× 311 1.7× 74 2.5k
Paul R. Petrie Australia 28 1.8k 1.7× 1.2k 1.7× 516 1.8× 465 2.2× 164 0.9× 75 2.0k
Manfred Stoll Germany 22 1.9k 1.8× 755 1.1× 240 0.8× 726 3.5× 203 1.1× 68 2.1k

Countries citing papers authored by Diego Tomasi

Since Specialization
Citations

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

Fields of papers citing papers by Diego Tomasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Tomasi

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Tomasi. A scholar is included among the top collaborators of Diego Tomasi 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 Diego Tomasi. Diego Tomasi 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
1.
Sozzi, Marco, et al.. (2024). On-the-go assessment of the grapevine trunk’s diameter: a comparison of different convolutional neural networks. Computers and Electronics in Agriculture. 229. 109664–109664. 1 indexed citations
2.
Cogato, Alessia, et al.. (2024). Satellite Monitoring of Italian Vineyards and Spatio-Temporal Variability Assessment. AgriEngineering. 6(4). 4107–4134.
3.
Lovat, Lorenzo, et al.. (2023). Improving the Oenological Potential of Grapes for Prosecco PDO Sparkling Wine Thanks to Nitrogen Fertigation. Agronomy. 13(5). 1369–1369. 3 indexed citations
4.
5.
Belfiore, Nicola, Rita Musetti, Diego Tomasi, et al.. (2022). Effect of a triacontanol-rich biostimulant on the ripening dynamic and wine must technological parameters in Vitis vinifera cv. ‘Ribolla Gialla’. Plant Physiology and Biochemistry. 188. 60–69. 9 indexed citations
6.
7.
Pezzuolo, Andrea, et al.. (2020). Analysis of performances of a commercial three-dimensional (3D) reconstruction camera. Padua Research Archive (University of Padova). 83–88.
8.
Colombo, Francesca, Chiara Di Lorenzo, Luca Regazzoni, et al.. (2019). Phenolic profiles and anti-inflammatory activities of sixteen table grape (Vitis viniferaL.) varieties. Food & Function. 10(4). 1797–1807. 64 indexed citations
9.
Gaiotti, Federica, Chiara Pastore, Ilaria Filippetti, et al.. (2018). Low night temperature at veraison enhances the accumulation of anthocyanins in Corvina grapes (Vitis Vinifera L.). Scientific Reports. 8(1). 8719–8719. 75 indexed citations
10.
Brillante, Luca, Federica Gaiotti, Lorenzo Lovat, et al.. (2016). CHANGES IN TEXTURE ANALYSIS PARAMETERS OF WINE GRAPE BERRIES AT TWO RIPENESS STAGES: A STUDY ON VARIETAL EFFECT. Italian Journal of Food Science. 29(2). 243–252. 1 indexed citations
11.
Brillante, Luca, Nicola Belfiore, Federica Gaiotti, et al.. (2016). Comparing Kaolin and Pinolene to Improve Sustainable Grapevine Production during Drought. PLoS ONE. 11(6). e0156631–e0156631. 110 indexed citations
12.
Fila, Gianni, Diego Tomasi, Federica Gaiotti, & Gregory V. Jones. (2015). The Book of Vinesprouts of Kőszeg (Hungary): a documentary source for reconstructing spring temperatures back to the eighteenth century. International Journal of Biometeorology. 60(2). 207–219. 4 indexed citations
13.
Tempesta, Tiziano, Rosa Arboretti, Livio Corain, et al.. (2014). Caractéristiques du paysage et propension à acheter du vin: une expérience de choix. 13(3). 31–38. 1 indexed citations
14.
Meneghetti, Stefano, et al.. (2014). Valorization of Genetic Variability for the Qualitative Improvement of Autochthonous Grape Cultivars of Cirò’s terroir Through the Self-Fertilization. Molecular Biotechnology. 57(3). 275–286. 1 indexed citations
15.
Duso, Carlo, et al.. (2012). Effects of Irrigation on the Seasonal Abundance of Empoasca vitis in North-Italian Vineyards. Journal of Economic Entomology. 105(1). 176–185. 13 indexed citations
16.
Giacosa, Simone, Fabrizio Torchio, Susana Rı́o Segade, et al.. (2012). Physico‐mechanical evaluation of the aptitude of berries of red wine grape varieties to resist the compression in carbonic maceration vinification. International Journal of Food Science & Technology. 48(4). 817–825. 13 indexed citations
17.
Tomasi, Diego. (2006). Ambiente, conduzione e qualita aromatica delle uve. Informatore agrario. 62(14). 12–15. 1 indexed citations
18.
Pitacco, Andrea, et al.. (2003). Bunch and berry temperature and anthocyanin synthesis and profile in Cabernet sauvignon. 56(4). 3–16. 6 indexed citations
19.
Calò, Antonio, et al.. (2000). Effects of the microclimate on the vegetative and aromatic response of the vine variety Sauvignon b., clone R3. 53(2). 27–44. 5 indexed citations
20.
Calò, Antonio, et al.. (2000). Studio dei precursori di aromi varietali contenuti nel mosto di uva Prosecco. 36(6). 97–102. 3 indexed citations

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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