P. Gay

5.9k total citations · 1 hit paper
95 papers, 2.2k citations indexed

About

P. Gay is a scholar working on Plant Science, Food Science and Control and Systems Engineering. According to data from OpenAlex, P. Gay has authored 95 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 20 papers in Food Science and 17 papers in Control and Systems Engineering. Recurrent topics in P. Gay's work include Smart Agriculture and AI (16 papers), Food Supply Chain Traceability (15 papers) and Remote Sensing in Agriculture (12 papers). P. Gay is often cited by papers focused on Smart Agriculture and AI (16 papers), Food Supply Chain Traceability (15 papers) and Remote Sensing in Agriculture (12 papers). P. Gay collaborates with scholars based in Italy, France and Denmark. P. Gay's co-authors include Lorenzo Comba, Fabrizio Dabbene, Davide Ricauda Aimonino, Cristina Tortia, Alessandro Biglia, Paolo Barge, Marcello Chiaberge, Aleem Khaliq, G. Belforte and Nicola Sacco and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Automatica.

In The Last Decade

P. Gay

88 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Traceability issues in food supply chain management: A review

2013 271 citations Fabrizio Dabbene, P. Gay et al. Biosystems Engineering profile →

Peers

P. Gay

PS

FS

ECOLO

EE

ME

Simon Pearson United Kingdom

Patrizia Busato Italy

S. Fountas Greece

Simon Blackmore United Kingdom

Spyros Fountas Greece

K. C. Ting United States

Pedro Dinis Gaspar Portugal

Morteza Taki Iran

F.K. van Evert Netherlands

Raul Morais Portugal

Simon Pearson United Kingdom

P. Gay

2.6k ×2.9

PS

451 ×0.8

FS

599 ×1.2

ECOLO

308 ×0.7

EE

197 ×1.1

ME

Citations per year, relative to P. Gay P. Gay (= 1×) peers Simon Pearson

Countries citing papers authored by P. Gay

Since Specialization

Citations

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

Fields of papers citing papers by P. Gay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Gay

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Calandra, Davide, et al.. (2025). Blockchain for food and beverage supply: expired buzz word or accelerating trend?. British Food Journal. 127(3). 990–1012.

2.

Biglia, Alessandro, et al.. (2025). Assessing the potential efficacy and efficiency of UASS vine-targeted spray application across growth stages. Smart Agricultural Technology. 12. 101532–101532.

3.

Haddock, Naomi L., P. Gay, Layla J. Barkal, et al.. (2025). Identification of bacteriophage DNA in human umbilical cord blood. JCI Insight. 10(13).

4.

Aghilinategh, Nahid, et al.. (2024). Physicochemical and aromatic properties of iron-enriched tomato paste during storage. Food Research International. 200. 115484–115484.

5.

Biglia, Alessandro, et al.. (2024). Identification of drought-salinity combined stress in tomato plants by vegetation indices. Journal of Agricultural Engineering. 1 indexed citations

6.

Biglia, Alessandro, Paolo Barge, Cristina Tortia, et al.. (2022). Artificial intelligence to boost traceability systems for fraud prevention in the meat industry. Journal of Agricultural Engineering. 53(4). 13 indexed citations

7.

Mammarella, Martina, et al.. (2022). 3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. Remote Sensing. 14(6). 1374–1374. 6 indexed citations

8.

Mammarella, Martina, Lorenzo Comba, Alessandro Biglia, Fabrizio Dabbene, & P. Gay. (2021). Cooperation of unmanned systems for agricultural applications: A case study in a vineyard. Biosystems Engineering. 223. 81–102. 23 indexed citations

9.

Mammarella, Martina, Lorenzo Comba, Alessandro Biglia, Fabrizio Dabbene, & P. Gay. (2021). Cooperation of unmanned systems for agricultural applications: A theoretical framework. Biosystems Engineering. 223. 61–80. 51 indexed citations

10.

Barge, Paolo, Alessandro Biglia, Lorenzo Comba, et al.. (2020). Radio Frequency IDentification for Meat Supply-Chain Digitalisation. Sensors. 20(17). 4957–4957. 26 indexed citations

11.

Balsari, P., Alessandro Biglia, Lorenzo Comba, et al.. (2020). Performance analysis of a tractor - power harrow system under different working conditions. Biosystems Engineering. 202. 28–41. 43 indexed citations

12.

Khaliq, Aleem, Lorenzo Comba, Alessandro Biglia, et al.. (2019). Comparison of Satellite and UAV-Based Multispectral Imagery for Vineyard Variability Assessment. Remote Sensing. 11(4). 436–436. 164 indexed citations

13.

Giacosa, Simone, Fabrizio Torchio, Susana Rı́o Segade, et al.. (2019). Relationships among electrolyzed water postharvest treatments on winegrapes and chloroanisoles occurrence in wine. Food Research International. 120. 235–243. 7 indexed citations

14.

Comba, Lorenzo, et al.. (2019). Cost-effective visual odometry system for vehicle motion control in agricultural environments. Computers and Electronics in Agriculture. 162. 82–94. 34 indexed citations

15.

Comba, Lorenzo, Alessandro Biglia, Davide Ricauda Aimonino, et al.. (2019). Leaf Area Index evaluation in vineyards using 3D point clouds from UAV imagery. Precision Agriculture. 21(4). 881–896. 100 indexed citations

16.

Barge, Paolo, Alessandro Biglia, Lorenzo Comba, et al.. (2018). The influence of food composition and tag orientation on UHF RF IDentification. Journal of Food Engineering. 246. 242–252. 14 indexed citations

17.

Comba, Lorenzo, Alessandro Biglia, Davide Ricauda Aimonino, & P. Gay. (2018). Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture. Computers and Electronics in Agriculture. 155. 84–95. 130 indexed citations

18.

Biglia, Alessandro, et al.. (2017). Reversed Brayton cycle for food freezing at very low temperatures: Energy performance and optimisation. International Journal of Refrigeration. 81. 82–95. 24 indexed citations

19.

Comba, Lorenzo, P. Gay, & Davide Ricauda Aimonino. (2016). Robot ensembles for grafting herbaceous crops. Biosystems Engineering. 146. 227–239. 24 indexed citations

20.

Gay, P.. (1976). Aspetti ergonomici ed organizzativi della mungitura meccanica. UnissResearch (Università degli Studi di Sassari). 1 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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