Dalcimar Casanova

1.5k total citations
51 papers, 896 citations indexed

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 51 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 10 papers in Plant Science. Recurrent topics in Dalcimar Casanova's work include Image Retrieval and Classification Techniques (11 papers), Smart Agriculture and AI (6 papers) and Neural Networks and Applications (5 papers). Dalcimar Casanova is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), Smart Agriculture and AI (6 papers) and Neural Networks and Applications (5 papers). Dalcimar Casanova collaborates with scholars based in Brazil, Argentina and Portugal. Dalcimar Casanova's co-authors include Odemir Martinez Bruno, André Ricardo Backes, Jarbas Joaci de Mesquita Sá, Francisco A. Rodrigues, César H. Comin, Luciano da Fontoura Costa, Diego R. Amancio, Gonzalo Travieso, Marcelo Teixeira and João B. Florindo and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Dalcimar Casanova

46 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dalcimar Casanova Brazil 12 362 212 160 94 62 51 896
André Ricardo Backes Brazil 18 621 1.7× 211 1.0× 222 1.4× 151 1.6× 72 1.2× 98 1.2k
Cheng Tan China 12 250 0.7× 135 0.6× 325 2.0× 52 0.6× 44 0.7× 41 1.0k
Zhilu Wu China 22 273 0.8× 232 1.1× 429 2.7× 103 1.1× 82 1.3× 129 1.7k
Yajun Chen China 17 614 1.7× 223 1.1× 132 0.8× 139 1.5× 19 0.3× 51 1.1k
Zhirong Yang Finland 19 367 1.0× 124 0.6× 243 1.5× 79 0.8× 202 3.3× 65 1.1k
Yurong Qian China 19 408 1.1× 164 0.8× 279 1.7× 310 3.3× 115 1.9× 115 1.2k
Fardin Akhlaghian Tab Iran 17 308 0.9× 105 0.5× 323 2.0× 51 0.5× 65 1.0× 51 892
Dan Popescu Romania 18 339 0.9× 157 0.7× 218 1.4× 41 0.4× 94 1.5× 171 1.4k
Marco Mora Chile 15 172 0.5× 274 1.3× 192 1.2× 40 0.4× 23 0.4× 64 810
En Fan China 11 236 0.7× 59 0.3× 271 1.7× 87 0.9× 33 0.5× 44 974

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).

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.

Co-authorship network of co-authors of Dalcimar Casanova

This figure shows the co-authorship network connecting the top 25 collaborators of Dalcimar Casanova. A scholar is included among the top collaborators of Dalcimar Casanova 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 Dalcimar Casanova. Dalcimar Casanova 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.
Oliva, Jefferson Tales, et al.. (2025). Construction of Rolled Digital for Newborns Using Image Registration. Revista de Informática Teórica e Aplicada. 32(1). 188–195. 1 indexed citations
2.
Wehrmeister, Marco A., et al.. (2025). Educational process mining: literature classification, gaps, and emerging opportunities. Frontiers in Education. 10.
3.
Rodrigues, Érick Oliveira, et al.. (2024). Iterative Framework For Data Augmentation Of Segmented Fingerprints. 15–20.
4.
5.
Casanova, Dalcimar, et al.. (2023). An application of Generative Adversarial Networks to improve automatic inspection in automotive manufacturing. Applied Soft Computing. 136. 110105–110105. 14 indexed citations
6.
Casanova, Dalcimar, et al.. (2023). Development of Global Quality Index of Unpaved Roads. Journal of Construction Engineering and Management. 150(1). 1 indexed citations
7.
Oliva, Jefferson Tales, et al.. (2023). Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis. Neural Computing and Applications. 35(16). 12195–12219. 14 indexed citations
8.
Casanova, Dalcimar, et al.. (2022). Modelling and control of manufacturing systems subject to context recognition and switching. International Journal of Production Research. 61(10). 3396–3414. 3 indexed citations
9.
10.
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
11.
Rodrigues, Érick Oliveira, et al.. (2021). X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing. Biomedical Physics & Engineering Express. 7(5). 55026–55026. 2 indexed citations
12.
Casanova, Dalcimar, et al.. (2021). Intervening Factors in Pavement Roughness Assessment with Smartphones: Quantifying the Effects and Proposing Mitigation. Journal of Transportation Engineering Part B Pavements. 147(4). 4 indexed citations
13.
Teixeira, Marcelo, et al.. (2019). Automatic Classification of Multiple Objects in Automotive Assembly Line. 363–369. 6 indexed citations
14.
Teixeira, Marcelo, et al.. (2019). Assessing classification complexity of datasets using fractals. International Journal of Computational Science and Engineering. 20(1). 102–102. 2 indexed citations
15.
Casanova, Dalcimar, João B. Florindo, Maurício Falvo, & Odemir Martinez Bruno. (2016). Texture analysis using fractal descriptors estimated by the mutual interference of color channels. Information Sciences. 346-347. 58–72. 16 indexed citations
16.
Amancio, Diego R., César H. Comin, Dalcimar Casanova, et al.. (2014). A Systematic Comparison of Supervised Classifiers. PLoS ONE. 9(4). e94137–e94137. 161 indexed citations
17.
Casanova, Dalcimar, João B. Florindo, Wesley Nunes Gonçalves, & Odemir Martinez Bruno. (2011). IFSC/USP at ImageCLEF 2011: Plant identication task. 9 indexed citations
18.
Rossatto, Davi Rodrigo, Dalcimar Casanova, Rosana Marta Kolb, & Odemir Martinez Bruno. (2010). Fractal analysis of leaf-texture properties as a tool for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Miconieae tribe). Plant Systematics and Evolution. 291(1-2). 103–116. 34 indexed citations
19.
Casanova, Dalcimar, R. Sharp, & P. S. Symonds. (2001). Technical Note: Construction of race circuit geometry from on-car measurements. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 215(9). 1033–1042. 8 indexed citations
20.
Guelfucci, Bruno, et al.. (2001). [Reconstruction of the palate vault by free forearm cutaneous flap in oncology].. PubMed. 118(4). 233–7. 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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