Diego Patrício

1.0k citations
7 papers · 744 indexed · 1 hit paper · h-index 4
Topics
Remote Sensing in Agriculture (2 papers)Smart Agriculture and AI (2 papers)Spectroscopy and Chemometric Analyses (2 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Food ScienceComputers and Electronics in Agriculture
Partner nations
Brazil

In The Last Decade

Diego Patrício

5 papers receiving 720 citations

Hit Papers

Computer vision and artificial intelligence in precision ...20182026202020232018200400600

Peers

Diego Patrício
Comparison fields: 5 of 109
  • Plant Science 472
  • Analytical Chemistry 209
  • Ecology 127
  • Food Science 88
  • Molecular Biology 77
Replace Ahmad Al-Mallahi with:
Ahmad Al-Mallahi Canada
Santanu Phadikar India
Tawseef Ayoub Shaikh India
Poojan Patel India
Aalap Doshi India
Edna C. Too Kenya
Aydın Kaya Türkiye
Masayuki Hirafuji Japan
Diego Patrício relative to Ahmad Al-Mallahi Canada Ahmad Al-Mallahi's profile →
Citations per field
00.5×1.5×1.9×
Ahmad Al-Mallahi · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 0
2 0
3 82
4 6
5
Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic reviewbreakdown →
651
6
A gentle introduction to precomputed radiance transfer
4
7
AMPLIA Learning Environment Architecture
1

About Diego Patrício

Diego Patrício is a scholar working on Computer Graphics and Computer-Aided Design, Analytical Chemistry and Human-Computer Interaction, having authored 7 papers that have together received 744 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (2 papers), Smart Agriculture and AI (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Analytical Chemistry (209 citations), Plant Science (472 citations) and Health Informatics (8 citations). Diego Patrício has collaborated with scholars based in Brazil. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Food Science and Computers and Electronics in Agriculture.

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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