Diego Patrício

1.0k total citations · 1 hit paper
7 papers, 744 citations indexed

About

Diego Patrício is a scholar working on Computer Vision and Pattern Recognition, Ecology and Plant Science. According to data from OpenAlex, Diego Patrício has authored 7 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Ecology and 2 papers in Plant Science. Recurrent topics in Diego Patrício's work include Remote Sensing in Agriculture (2 papers), Smart Agriculture and AI (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Diego Patrício is often cited by papers focused on Remote Sensing in Agriculture (2 papers), Smart Agriculture and AI (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). Diego Patrício collaborates with scholars based in Brazil. Diego Patrício's co-authors include Rafael Rieder, Casiane Salete Tibola, Simone Alves da Silva, Daiana Biduski, Manuel M. Oliveira, Ericles Andrei Bellei, Ana Carolina Bertoletti De Marchi, Cecília Dias Flores, Rosa María Vicari and J. M. C. Fernandes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Food Science and Computers and Electronics in Agriculture.

In The Last Decade

Diego Patrício

5 papers receiving 720 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.

Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review

2018 651 citations Diego Patrício, Rafael Rieder Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Patrício Brazil	4	472	209	127	88	77	7	744
Ahmad Al-Mallahi Canada	12	630 1.3×	224 1.1×	102 0.8×	169 1.9×	58 0.8×	26	1.1k
Young Chang Canada	18	768 1.6×	240 1.1×	220 1.7×	88 1.0×	31 0.4×	51	1.1k
Yanzhou Li China	16	407 0.9×	133 0.6×	155 1.2×	42 0.5×	36 0.5×	60	996
Md Sultan Mahmud United States	12	539 1.1×	127 0.6×	145 1.1×	79 0.9×	31 0.4×	29	751
Aichen Wang China	16	803 1.7×	310 1.5×	235 1.9×	106 1.2×	35 0.5×	43	1.2k
Huarui Wu China	15	648 1.4×	202 1.0×	89 0.7×	44 0.5×	26 0.3×	74	1.0k
Sierra Young United States	13	530 1.1×	143 0.7×	200 1.6×	33 0.4×	39 0.5×	39	786
Xuewei Wang China	11	1.2k 2.5×	319 1.5×	200 1.6×	59 0.7×	46 0.6×	33	1.4k
Tanzeel U. Rehman United States	16	619 1.3×	255 1.2×	312 2.5×	43 0.5×	36 0.5×	46	1.1k
Borja Espejo-García Greece	15	540 1.1×	124 0.6×	182 1.4×	53 0.6×	28 0.4×	24	765

Countries citing papers authored by Diego Patrício

Since Specialization

Citations

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

Fields of papers citing papers by Diego Patrício

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Patrício

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

All Works

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7 of 7 papers shown

1.

Patrício, Diego, et al.. (2023). Oat grains classification using deep learning. SHILAP Revista de lepidopterología. 15(1). 48–58.

2.

Patrício, Diego, et al.. (2021). Elaboração e validação de uma escala diagramática para a queima bacteriana do alho. Summa Phytopathologica. 47(3). 183–186.

3.

Tibola, Casiane Salete, et al.. (2018). Economically Motivated Food Fraud and Adulteration in Brazil: Incidents and Alternatives to Minimize Occurrence. Journal of Food Science. 83(8). 2028–2038. 82 indexed citations

4.

Bellei, Ericles Andrei, et al.. (2018). Prior Experience as an Influencer in the Momentary User Experience: An Assessment in Immersive Virtual Reality Game Context. 1–9. 6 indexed citations

5.

Patrício, Diego & Rafael Rieder. (2018). Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review. Computers and Electronics in Agriculture. 153. 69–81. 651 indexed citations breakdown →

6.

Oliveira, Manuel M., et al.. (2006). A gentle introduction to precomputed radiance transfer. Americanae (AECID Library). 13. 131–160. 4 indexed citations

7.

Flores, Cecília Dias, et al.. (2005). AMPLIA Learning Environment Architecture. 662–665. 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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