André Ricardo Backes

2.1k total citations
98 papers, 1.2k citations indexed

About

André Ricardo Backes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, André Ricardo Backes has authored 98 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 16 papers in Plant Science. Recurrent topics in André Ricardo Backes's work include Image Retrieval and Classification Techniques (35 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Smart Agriculture and AI (13 papers). André Ricardo Backes is often cited by papers focused on Image Retrieval and Classification Techniques (35 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Smart Agriculture and AI (13 papers). André Ricardo Backes collaborates with scholars based in Brazil, Germany and United States. André Ricardo Backes's co-authors include Odemir Martinez Bruno, Dalcimar Casanova, Jarbas Joaci de Mesquita Sá, Alexandre Souto Martinêz, Paulo César Cortez, Wesley Nunes Gonçalves, Bruno Augusto Nassif Travençolo, Gina M. B. Oliveira, Marcelo Keese Albertini and Rodrigo Moreira and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

André Ricardo Backes

82 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Ricardo Backes Brazil 18 621 222 211 151 83 98 1.2k
Dalcimar Casanova Brazil 12 362 0.6× 160 0.7× 212 1.0× 94 0.6× 60 0.7× 51 896
Cheng Tan China 12 250 0.4× 325 1.5× 135 0.6× 52 0.3× 76 0.9× 41 1.0k
D. S. Guru India 23 924 1.5× 604 2.7× 238 1.1× 226 1.5× 157 1.9× 142 1.8k
Syed Rameez Naqvi Pakistan 16 297 0.5× 243 1.1× 201 1.0× 107 0.7× 82 1.0× 57 979
George Economou Greece 25 985 1.6× 485 2.2× 349 1.7× 354 2.3× 19 0.2× 160 2.2k
Shyh Wei Teng Australia 16 314 0.5× 145 0.7× 61 0.3× 81 0.5× 47 0.6× 76 697
Nozha Boujemaa France 21 883 1.4× 374 1.7× 199 0.9× 219 1.5× 57 0.7× 100 1.4k
Wang Xiu China 20 1.4k 2.3× 254 1.1× 120 0.6× 591 3.9× 28 0.3× 134 2.0k
João B. Florindo Brazil 15 279 0.4× 90 0.4× 104 0.5× 58 0.4× 27 0.3× 63 588
Mohammad Hossein Rohban Iran 15 324 0.5× 336 1.5× 102 0.5× 191 1.3× 127 1.5× 56 1.4k

Countries citing papers authored by André Ricardo Backes

Since Specialization
Citations

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

Fields of papers citing papers by André Ricardo Backes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André Ricardo Backes. 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 André Ricardo Backes. The network helps show where André Ricardo Backes may publish in the future.

Co-authorship network of co-authors of André Ricardo Backes

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

All Works

20 of 20 papers shown
1.
Backes, André Ricardo, et al.. (2025). Rust Detection in Coffee Leaves Using Otsu's Method and Mathematical Morphology. Revista de Informática Teórica e Aplicada. 32(1). 212–219.
2.
Moreira, Rodrigo, et al.. (2025). Deep learning based image classification for embedded devices: A systematic review. Neurocomputing. 623. 129402–129402. 3 indexed citations
3.
Backes, André Ricardo. (2025). Fusion of Texture Features Applied to H. pylori Infection Classification from Histopathological Images. Journal of Imaging Informatics in Medicine. 39(1). 627–638. 1 indexed citations
4.
Rodrigues, Luı́s, et al.. (2025). Federated Learning in Breast Cancer Diagnosis. Revista de Informática Teórica e Aplicada. 32(1). 173–179.
5.
Mari, João Fernando, et al.. (2025). Identifying Malignant Skin Diseases Through Deep Learning. Revista de Informática Teórica e Aplicada. 32(1). 204–211.
6.
Sá, Jarbas Joaci de Mesquita & André Ricardo Backes. (2024). Colorectal Image Classification Using Randomized Neural Network Descriptors. 800–805. 1 indexed citations
7.
8.
Backes, André Ricardo, et al.. (2023). Generating synthetic multispectral images using neural style transfer: A study with application in channel alignment. Computers and Electronics in Agriculture. 206. 107668–107668. 4 indexed citations
9.
Moreira, Rodrigo, et al.. (2023). An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis. Applied Soft Computing. 134. 110014–110014. 16 indexed citations
10.
Albertini, Marcelo Keese, et al.. (2023). Machine learning for hospital readmission prediction in pediatric population. Computer Methods and Programs in Biomedicine. 244. 107980–107980. 12 indexed citations
11.
Albertini, Marcelo Keese, et al.. (2023). Validation of the HOSPITAL score as predictor of 30-day potentially avoidable readmissions in pediatric hospitalized population: retrospective cohort study. European Journal of Pediatrics. 182(4). 1579–1585. 1 indexed citations
12.
Backes, André Ricardo, et al.. (2023). Measuring water holding capacity in pork meat images using deep learning. Meat Science. 200. 109159–109159. 9 indexed citations
13.
Backes, André Ricardo, et al.. (2021). EDT Method for Multiple Labelled Objects Subject to Tied Distances. International Journal of Automation and Computing. 18(3). 468–479. 1 indexed citations
14.
Albertini, Marcelo Keese, et al.. (2020). Wild boar recognition using convolutional neural networks. Concurrency and Computation Practice and Experience. 33(22). 5 indexed citations
15.
Backes, André Ricardo, et al.. (2020). UAV-Multispectral Sensed Data Band Co-Registration Framework. 223–228. 3 indexed citations
16.
Albertini, Marcelo Keese, et al.. (2019). A study of publication trajectories of the Brazilian Computer Science community. Anais da Academia Brasileira de Ciências. 91(3). e20180559–e20180559.
17.
Backes, André Ricardo, et al.. (2019). Coffee Leaf Rust Detection Using Genetic Algorithm. 16–20. 12 indexed citations
18.
Backes, André Ricardo, et al.. (2007). Análise da Complexidade de Texturas em Imagens Urbanas Utilizando Dimensão Fractal.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 215–220.
19.
Backes, André Ricardo & Odemir Martinez Bruno. (2006). Segmentação de Texturas por Análise de Complexidade. Americanae (AECID Library). 1 indexed citations
20.
Backes, André Ricardo & Odemir Martinez Bruno. (2005). Técnicas de Estimativa da Dimensão Fractal: Um Estudo Comparativo. Americanae (AECID Library). 2 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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