Dalcimar Casanova

42 papers and 1.1k indexed citations i.

About

Dalcimar Casanova is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Dalcimar Casanova has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Plant Science. Recurrent topics in Dalcimar Casanova’s work include Image Retrieval and Classification Techniques (10 papers), Neural Networks and Applications (5 papers) and Smart Agriculture and AI (4 papers). Dalcimar Casanova is often cited by papers focused on Image Retrieval and Classification Techniques (10 papers), Neural Networks and Applications (5 papers) and Smart Agriculture and AI (4 papers). Dalcimar Casanova collaborates with scholars based in Brazil, United Arab Emirates and Portugal. Dalcimar Casanova's co-authors include Odemir Martinez Bruno, André Ricardo Backes, Francisco A. Rodrigues, César H. Comin, Diego R. Amancio, Luciano da Fontoura Costa, Jarbas Joaci de Mesquita Sá, Gonzalo Travieso, Luciano da Fontoura Costa and Marcelo Teixeira and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Dalcimar Casanova i

Fields of papers citing papers by Dalcimar Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dalcimar Casanova

Since Specialization
Citations

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

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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2025