Vania V. Estrela

1.6k citations
52 papers · 563 indexed · h-index 11
Topics
Advanced Vision and Imaging (8 papers)Advanced Image Processing Techniques (8 papers)Image and Video Quality Assessment (6 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessMultimedia Tools and Applications
Partner nations
BrazilIndiaChina

In The Last Decade

Vania V. Estrela

46 papers receiving 543 citations

Peers

Vania V. Estrela
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 135
  • Artificial Intelligence 132
  • Information Systems 94
  • Computer Networks and Communications 85
  • Oncology 62
Replace Hameedur Rahman with:
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Saddaf Rubab Pakistan
P. Manimegalai India
Yi Zhuang China
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Citations per field
00.5×6.2×
Hameedur Rahman · 1×
Citations per year

Countries citing papers authored by Vania V. Estrela

Since Specialization
Citations

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

Fields of papers citing papers by Vania V. Estrela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vania V. Estrela. 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 Vania V. Estrela. The network helps show where Vania V. Estrela may publish in the future.

Co-authorship network of co-authors of Vania V. Estrela

This figure shows the co-authorship network connecting the top 25 collaborators of Vania V. Estrela. A scholar is included among the top collaborators of Vania V. Estrela 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 Vania V. Estrela. Vania V. Estrela 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
#WorkIndexed citations
1 4
2 1
3 5
4 1
5 6
6 30
7 2
8 7
9 19
10 11
11 52
12 96
13 0
14 55
15 0
16 9
17 4
18 3
19
Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
1
20 2

About Vania V. Estrela

Vania V. Estrela is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 52 papers that have together received 563 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Advanced Image Processing Techniques (8 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Health Informatics (8 citations) and Neurology (49 citations). Vania V. Estrela has collaborated with scholars based in Brazil, India and China. Frequent co-authors include Navid Razmjooy, Asif Ali Laghari, Hermes Loschi, Anand Deshpande, Reinaldo Padilha França, Prashant P. Patavardhan, Abdullah Ayub Khan, Zaffar Ahmed Shaikh, Mohsen Ashourian and Ana Carolina Borges Monteiro. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Multimedia Tools and 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.

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