Dı́bio Leandro Borges
- Computer Vision and Pattern Recognition top 5%
- Plant Science
- Artificial Intelligence top 10%
- Ecology
- Media Technology top 5%
- Co-authors
- Osmar Luiz Ferreira de CarvalhoAnesmar Olino de AlbuquerqueRenato Fontes GuimarãesRoberto Arnaldo Trancoso GomesOsmar Abílio de Carvalho JúniorJosé Maurício Santos Torres da MottaRobert B. FisherPablo Pozzobon de
- Topics
- Smart Agriculture and AI (8 papers)Remote-Sensing Image Classification (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Journals
- PLoS ONESensorsRemote Sensing
- Partner nations
- BrazilUnited KingdomCanada
In The Last Decade
Dı́bio Leandro Borges
43 papers receiving 537 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 200
- Plant Science 158
- Artificial Intelligence 92
- Ecology 66
- Media Technology 63
Countries citing papers authored by Dı́bio Leandro Borges
This map shows the geographic impact of Dı́bio Leandro Borges'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 Dı́bio Leandro Borges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dı́bio Leandro Borges more than expected).
Fields of papers citing papers by Dı́bio Leandro Borges
This network shows the impact of papers produced by Dı́bio Leandro Borges. 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 Dı́bio Leandro Borges. The network helps show where Dı́bio Leandro Borges may publish in the future.
Co-authorship network of co-authors of Dı́bio Leandro Borges
This figure shows the co-authorship network connecting the top 25 collaborators of Dı́bio Leandro Borges. A scholar is included among the top collaborators of Dı́bio Leandro Borges 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 Dı́bio Leandro Borges. Dı́bio Leandro Borges is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 70 | |
| 11 | 45 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | Segmentation of Envelopes and Address Block Location by Salient Features and Hypothesis Testing | 1 |
| 17 | 68 | |
| 18 | Técnicas em Processamento e Análise de Documentos Manuscritos | 0 |
| 19 | 2 | |
| 20 | 3 |
About Dı́bio Leandro Borges
Dı́bio Leandro Borges is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 44 papers that have together received 569 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Media Technology (63 citations) and Analytical Chemistry (43 citations). Dı́bio Leandro Borges has collaborated with scholars based in Brazil, United Kingdom and Canada. Frequent co-authors include Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho Júnior, José Maurício Santos Torres da Motta, Robert B. Fisher, Pablo Pozzobon de, Jacques Facon and Hugo Vieira Neto. Their work appears in journals such as PLoS ONE, Sensors and Remote Sensing.
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.