Dalcimar Casanova

1.5k citations
56 papers · 1.0k · h-index 13

Impact in

Papers in

Dalcimar Casanova

49 papers receiving 1000 citations

Peers

Dalcimar Casanova
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 424
  • Media Technology 104
  • Analytical Chemistry 69
  • Plant Science 242
  • Artificial Intelligence 171
Replace André Ricardo Backes with:
André Ricardo Backes Brazil
Syed Rameez Naqvi Pakistan
Marco Mora Chile
En Fan China
Yajun Chen China
Peng Huang China
Zhilu Wu China
Yan Zhou China
Guan Wang China
Dalcimar Casanova relative to André Ricardo Backes Brazil André Ricardo Backes's profile →
Citations per field
00.5×
André Ricardo Backes · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dalcimar Casanova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dalcimar Casanova Line = papers co-authored together Dalcimar Casanova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014171
2 2011139
3 2009120
4 2009107
5 2008100
6 201293
7 201036
8 201827
9 202123
10 202318
11 201618
12 201915
13 202314
14 202211
15
IFSC/USP at ImageCLEF 2011: Plant identication task
201110
16 201910
17 201310
18 201010
19 20019
20
Automatic counting of stomata in epidermis microscopic images
20147

About Dalcimar Casanova

Dalcimar Casanova is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Industrial and Manufacturing Engineering and Information Systems, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (12 papers), Smart Agriculture and AI (6 papers), Image and Object Detection Techniques (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Neural Networks and Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Biometric Identification and Security (4 papers) and Greenhouse Technology and Climate Control (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (424 citations), Media Technology (104 citations), Analytical Chemistry (69 citations), Plant Science (242 citations) and Artificial Intelligence (171 citations). Dalcimar Casanova has collaborated with scholars based in Brazil, United Arab Emirates and Ireland. Frequent co-authors include Odemir Martinez Bruno, André Ricardo Backes, Jarbas Joaci de Mesquita Sá, Marcelo Teixeira, Gonzalo Travieso, Luciano da Fontoura Costa, Diego R. Amancio, César H. Comin, João B. Florindo and Rosana Marta Kolb. Their work appears in journals such as IEEE Access, Information Sciences, Pattern Recognition, Applied Soft Computing and International Journal of Production Research.

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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