Leonardo Conti

773 total citations
55 papers, 554 citations indexed

About

Leonardo Conti is a scholar working on Plant Science, Ecology and Animal Science and Zoology. According to data from OpenAlex, Leonardo Conti has authored 55 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 11 papers in Ecology and 11 papers in Animal Science and Zoology. Recurrent topics in Leonardo Conti's work include Remote Sensing in Agriculture (10 papers), Effects of Environmental Stressors on Livestock (9 papers) and Animal Behavior and Welfare Studies (9 papers). Leonardo Conti is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Effects of Environmental Stressors on Livestock (9 papers) and Animal Behavior and Welfare Studies (9 papers). Leonardo Conti collaborates with scholars based in Brazil, Italy and Nepal. Leonardo Conti's co-authors include Matteo Barbari, Giuseppe Rossi, Gabriel Araújo e Silva Ferraz, Mauro Agnoletti, Antonio Santoro, Lucas Santos Santana, Brenon Diennevan Souza Barbosa, Diego Bedin Marin, Lorenzo Leso and Patrícia Ferreira Ponciano Ferraz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Remote Sensing.

In The Last Decade

Leonardo Conti

50 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Conti Brazil 14 126 121 101 93 83 55 554
Reiner Brunsch Germany 14 70 0.6× 126 1.0× 143 1.4× 169 1.8× 47 0.6× 41 659
Benoît Mercatoris Belgium 19 374 3.0× 227 1.9× 143 1.4× 47 0.5× 45 0.5× 50 973
Filippo Gambella Italy 14 205 1.6× 108 0.9× 82 0.8× 50 0.5× 54 0.7× 41 566
Patrícia Ferreira Ponciano Ferraz Brazil 14 139 1.1× 130 1.1× 107 1.1× 276 3.0× 138 1.7× 87 627
Lelia Murgia Italy 15 244 1.9× 87 0.7× 218 2.2× 98 1.1× 55 0.7× 38 725
Knut-Håkan Jeppsson Sweden 11 61 0.5× 118 1.0× 93 0.9× 248 2.7× 221 2.7× 28 786
Zhongbin Su China 18 552 4.4× 210 1.7× 116 1.1× 56 0.6× 39 0.5× 71 1.1k
Brian D. Luck United States 9 293 2.3× 171 1.4× 82 0.8× 85 0.9× 30 0.4× 34 651
Antonio Pazzona Italy 17 297 2.4× 159 1.3× 266 2.6× 171 1.8× 118 1.4× 45 956
Uk-Hyeon Yeo South Korea 13 215 1.7× 21 0.2× 109 1.1× 101 1.1× 33 0.4× 40 455

Countries citing papers authored by Leonardo Conti

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Conti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Conti

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Conti. A scholar is included among the top collaborators of Leonardo Conti 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 Leonardo Conti. Leonardo Conti 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.
Ferraz, Gabriel Araújo e Silva, et al.. (2025). Integration of Field Data and UAV Imagery for Coffee Yield Modeling Using Machine Learning. Drones. 9(10). 717–717.
2.
Marin, Diego Bedin, et al.. (2024). Detection of Coffee Leaf Miner Using RGB Aerial Imagery and Machine Learning. AgriEngineering. 6(3). 3174–3186. 4 indexed citations
3.
Rotini, Federico, Lorenzo Fiorineschi, Leonardo Conti, & Giuseppe Rossi. (2024). Investigating Polylactic Acid Foam–Plant Fiber Composites for Sound Absorption and Insulation. Sustainability. 16(16). 6913–6913. 5 indexed citations
4.
Ferraz, Gabriel Araújo e Silva, et al.. (2024). Use of Images Obtained by Remotely Piloted Aircraft and Random Forest for the Detection of Leaf Miner (Leucoptera coffeella) in Newly Planted Coffee Trees. Remote Sensing. 16(4). 728–728. 1 indexed citations
5.
Ferraz, Gabriel Araújo e Silva, Lucas Santos Santana, Diego Bedin Marin, et al.. (2024). UAV-Based Vegetation Indices to Evaluate Coffee Crop Response after Transplanting Seedlings Grown in Different Containers. Agriculture. 14(3). 356–356. 5 indexed citations
7.
Ferraz, Gabriel Araújo e Silva, Lucas Santos Santana, Diego Bedin Marin, et al.. (2023). Evaluation of Coffee Plants Transplanted to an Area with Surface and Deep Liming Based on Multispectral Indices Acquired Using Unmanned Aerial Vehicles. Agronomy. 13(10). 2623–2623. 5 indexed citations
8.
Schwerz, Felipe, et al.. (2023). Economic Viability and Quality of Grapes Produced with and without Plastic Covering. Agronomy. 13(6). 1443–1443. 1 indexed citations
9.
Schwerz, Felipe, Luiz Gonsaga de Carvalho, Diego Bedin Marin, et al.. (2023). Machine Learning and Conventional Methods for Reference Evapotranspiration Estimation Using Limited-Climatic-Data Scenarios. Agronomy. 13(9). 2366–2366. 12 indexed citations
10.
Santana, Lucas Santos, Gabriel Araújo e Silva Ferraz, Diego Bedin Marin, et al.. (2021). Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle. European Journal of Remote Sensing. 54(1). 59–71. 28 indexed citations
11.
Ferraz, Gabriel Araújo e Silva, et al.. (2021). Comparison of spatial-temporal analysis modelling with purely spatial analysis modelling using temperature data obtained by remote sensing. Florence Research (University of Florence).
12.
Lopes, Marcos Aurélio, et al.. (2020). Robotic milking of dairy cows: a review. Semina Ciências Agrárias. 41(6). 2833–2850. 20 indexed citations
13.
Ferraz, Patrícia Ferreira Ponciano, Rafael Farinassi Mendes, Gabriel Araújo e Silva Ferraz, et al.. (2020). Chemical analyses of lignocellulosic materials residue for cement panels reinforcement. Agronomy Research. 18. 815–822. 2 indexed citations
14.
Gates, Richard S., et al.. (2019). A software to estimate heat stress impact on dairy cattle productive performance. Florence Research (University of Florence). 3 indexed citations
15.
Leso, Lorenzo, et al.. (2018). Cooling performance of earth-to-air heat exchangers applied to a poultry barn in semi-desert areas of South Iraq. International journal of agricultural and biological engineering. 11(3). 47–53. 21 indexed citations
16.
Tinôco, Ilda de Fátima Ferreira, et al.. (2017). Evaluation of the surface temperature of laying hens in different thermal environments during the initial stage of age based on thermographic images.. Agronomy Research. 15(3). 629–638. 12 indexed citations
17.
Barbari, Matteo, et al.. (2017). Supply of wood as environmental enrichment material to post-weaning piglets. Agronomy Research. 15. 313–321. 9 indexed citations
18.
Conti, Leonardo, Mélanie T. M. Hannebelle, Siegfried Gamper, et al.. (2017). Passive flow control valve for protein delivery. Cogent Engineering. 4(1). 1413923–1413923. 11 indexed citations
19.
Conti, Leonardo, et al.. (2016). Design of Sustainable Agricultural Buildings. A Case Study of a Wine Cellar in Tuscany, Italy. Buildings. 6(2). 17–17. 16 indexed citations
20.
Barbari, Matteo, et al.. (2008). Spatial Identification of Animals in Different Breeding Systems to Monitor Behavior. 11 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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