Gilberto Astolfi

612 total citations
22 papers, 419 citations indexed

About

Gilberto Astolfi is a scholar working on Plant Science, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gilberto Astolfi has authored 22 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gilberto Astolfi's work include Smart Agriculture and AI (8 papers), Remote Sensing in Agriculture (4 papers) and Identification and Quantification in Food (4 papers). Gilberto Astolfi is often cited by papers focused on Smart Agriculture and AI (8 papers), Remote Sensing in Agriculture (4 papers) and Identification and Quantification in Food (4 papers). Gilberto Astolfi collaborates with scholars based in Brazil, Canada and United States. Gilberto Astolfi's co-authors include Hemerson Pistori, Everton Castel�ão Tetila, Nícolas Alessandro de Souza Belete, Bruno Brandoli Machado, Willian Paraguassu Amorim, Antônia Railda Roel, Edson Takashi Matsubara, Vanessa Weber, Marco Álvarez and Adair da Silva Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Neurocomputing.

In The Last Decade

Gilberto Astolfi

21 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilberto Astolfi Brazil 9 221 84 50 49 42 22 419
Adair da Silva Oliveira Brazil 8 173 0.8× 58 0.7× 41 0.8× 45 0.9× 23 0.5× 12 373
Nícolas Alessandro de Souza Belete Brazil 6 401 1.8× 159 1.9× 106 2.1× 46 0.9× 62 1.5× 9 525
Man Cheng China 5 190 0.9× 67 0.8× 38 0.8× 42 0.9× 20 0.5× 11 304
Jinglei Tang China 10 322 1.5× 93 1.1× 111 2.2× 95 1.9× 24 0.6× 32 507
Dan Jeric Arcega Rustia Taiwan 11 251 1.1× 55 0.7× 22 0.4× 34 0.7× 12 0.3× 23 483
Oskar Marko Serbia 13 119 0.5× 61 0.7× 15 0.3× 19 0.4× 57 1.4× 25 375
Suk-Ju Hong South Korea 12 201 0.9× 112 1.3× 146 2.9× 64 1.3× 58 1.4× 33 516
Aydın Kaya Türkiye 10 286 1.3× 73 0.9× 137 2.7× 123 2.5× 16 0.4× 26 635
Ron Berenstein Israel 10 266 1.2× 55 0.7× 33 0.7× 59 1.2× 34 0.8× 15 408
Luciano Vieira Koenigkan Brazil 8 280 1.3× 88 1.0× 98 2.0× 69 1.4× 34 0.8× 19 459

Countries citing papers authored by Gilberto Astolfi

Since Specialization
Citations

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

Fields of papers citing papers by Gilberto Astolfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilberto Astolfi

This figure shows the co-authorship network connecting the top 25 collaborators of Gilberto Astolfi. A scholar is included among the top collaborators of Gilberto Astolfi 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 Gilberto Astolfi. Gilberto Astolfi 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.
Tetila, Everton Castel�ão, Gilberto Astolfi, Willian Paraguassu Amorim, et al.. (2024). Real-time detection of weeds by species in soybean using UAV images. Crop Protection. 184. 106846–106846. 8 indexed citations
2.
Tetila, Everton Castel�ão, et al.. (2024). YOLO performance analysis for real-time detection of soybean pests. SHILAP Revista de lepidopterología. 7. 100405–100405. 8 indexed citations
3.
Tetila, Everton Castel�ão, et al.. (2023). System for quantitative diagnosis of COVID-19 associated Pneumonia based on Superpixels with deep learning and chest CT. OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA. 21(9). 10883–10905. 1 indexed citations
4.
Astolfi, Gilberto, José Augusto Correa Martins, Everton Castel�ão Tetila, et al.. (2023). Pseudo-label semi-supervised learning for soybean monitoring. SHILAP Revista de lepidopterología. 4. 100216–100216. 6 indexed citations
5.
Astolfi, Gilberto, Marney Pascoli Cereda, Sérgio Augusto de Miranda Chaves, et al.. (2022). Forensic palynology: computer vision and geotechnologies to support criminalistics expertise. Research Society and Development. 11(8). e31611830422–e31611830422. 3 indexed citations
6.
Astolfi, Gilberto, et al.. (2022). An approach for applying natural language processing to image classification problems. Neurocomputing. 513. 372–382. 3 indexed citations
7.
Martins, José Augusto Correa, et al.. (2022). Computer vision system for superpixel classification and segmentation of sheep. Ecological Informatics. 68. 101551–101551. 13 indexed citations
8.
Martins, José Augusto Correa, Gilberto Astolfi, Everton Castel�ão Tetila, et al.. (2022). Pseudo-Label Semi-Supervised Learning for Soybean Monitoring. SSRN Electronic Journal. 4 indexed citations
9.
Martins, José Augusto Correa, Wesley Nunes Gonçalves, Lucas Prado Osco, et al.. (2021). Machine learning and SLIC for Tree Canopies segmentation in urban areas. Ecological Informatics. 66. 101465–101465. 16 indexed citations
10.
Astolfi, Gilberto, et al.. (2021). Syntactic Pattern Recognition in Computer Vision. ACM Computing Surveys. 54(3). 1–35. 10 indexed citations
11.
Oliveira, Adair da Silva, et al.. (2021). Fingerlings mass estimation: A comparison between deep and shallow learning algorithms. SHILAP Revista de lepidopterología. 1. 100020–100020. 7 indexed citations
12.
Tetila, Everton Castel�ão, et al.. (2020). A Deep-Learning Approach for Automatic Counting of Soybean Insect Pests. IEEE Geoscience and Remote Sensing Letters. 17(10). 1837–1841. 36 indexed citations
13.
Tetila, Everton Castel�ão, Bruno Brandoli Machado, Gilberto Astolfi, et al.. (2020). Detection and classification of soybean pests using deep learning with UAV images. Computers and Electronics in Agriculture. 179. 105836–105836. 181 indexed citations
14.
Astolfi, Gilberto, Adair da Silva Oliveira, Vanessa Weber, et al.. (2020). Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images. IEEE Geoscience and Remote Sensing Letters. 18(12). 2182–2186. 2 indexed citations
15.
Astolfi, Gilberto, et al.. (2020). POLLEN73S: An image dataset for pollen grains classification. Ecological Informatics. 60. 101165–101165. 38 indexed citations
16.
Weber, Vanessa, Adair da Silva Oliveira, Gilberto Astolfi, et al.. (2020). Cattle weight estimation using active contour models and regression trees Bagging. Computers and Electronics in Agriculture. 179. 105804–105804. 51 indexed citations
17.
Tetila, Everton Castel�ão, et al.. (2019). A computer vision system for oocyte counting using images captured by smartphone. Aquacultural Engineering. 87. 102017–102017. 21 indexed citations
18.
Belete, Nícolas Alessandro de Souza, Everton Castel�ão Tetila, Gilberto Astolfi, & Hemerson Pistori. (2019). Classification of weed in soybean crops using unmanned aerial vehicle images. 121–125. 2 indexed citations
19.
Astolfi, Gilberto, et al.. (2011). Identifying people who are talking about the same topic in social networks, even having a different cultural background. Revista de Informática Teórica e Aplicada. 17(2). 234–234. 1 indexed citations
20.

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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