João B. Florindo
- Computer Vision and Pattern Recognition top 5%
- Plant Science
- Artificial Intelligence
- Media Technology top 5%
- Molecular Biology
- Co-authors
- Odemir Martinez BrunoPedro M. SilvaKonradin MetzeDalcimar CasanovaRandall L. AdamGabriel LandiniMário de CastroRosana Marta Kolb
- Topics
- Image Retrieval and Classification Techniques (37 papers)Advanced Image and Video Retrieval Techniques (20 papers)Smart Agriculture and AI (15 papers)
- Partner nations
- BrazilCzechiaUnited Kingdom
In The Last Decade
João B. Florindo
57 papers receiving 569 citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 279
- Plant Science 104
- Artificial Intelligence 90
- Media Technology 58
- Molecular Biology 51
Countries citing papers authored by João B. Florindo
This map shows the geographic impact of João B. Florindo'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 João B. Florindo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João B. Florindo more than expected).
Fields of papers citing papers by João B. Florindo
This network shows the impact of papers produced by João B. Florindo. 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 João B. Florindo. The network helps show where João B. Florindo may publish in the future.
Co-authorship network of co-authors of João B. Florindo
This figure shows the co-authorship network connecting the top 25 collaborators of João B. Florindo. A scholar is included among the top collaborators of João B. Florindo 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 João B. Florindo. João B. Florindo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 13 | |
| 15 | 23 | |
| 16 | 4 | |
| 17 | 18 | |
| 18 | 38 | |
| 19 | IFSC/USP at ImageCLEF 2011: Plant identication task | 9 |
| 20 | 18 |
About João B. Florindo
João B. Florindo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Plant Science, having authored 63 papers that have together received 588 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (37 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Smart Agriculture and AI (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Media Technology (58 citations) and Biophysics (22 citations). João B. Florindo has collaborated with scholars based in Brazil, Czechia and United Kingdom. Frequent co-authors include Odemir Martinez Bruno, Pedro M. Silva, Konradin Metze, Dalcimar Casanova, Randall L. Adam, Gabriel Landini, Mário de Castro, Rosana Marta Kolb, Ernesto C. Pereira and Davi Rodrigo Rossatto. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Expert Systems with Applications.
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.