Rafael Padilha

405 citations
14 papers · 123 · h-index 6

Impact in

Papers in

Rafael Padilha

14 papers receiving 118 citations

Peers

Rafael Padilha
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 69
  • Signal Processing 32
  • Ophthalmology 17
  • Experimental and Cognitive Psychology 23
  • Acoustics and Ultrasonics 1
Replace Klemen Grm with:
Klemen Grm Slovenia
Kai Yi China
Jon Purdy United Kingdom
Shixing Chen United States
Zuheng Ming France
Spyridon Thermos Greece
Abdelkrim Ouafi Algeria
Amirsina Torfi United States
V. Vetriselvi India
Zhongqi Yang United States
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Citations per field
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Citations per year

Countries citing papers authored by Rafael Padilha

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Padilha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Padilha. 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 Rafael Padilha. The network helps show where Rafael Padilha may publish in the future.

Co-authors

The 23 scholars most cited alongside Rafael Padilha, 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 Rafael Padilha Line = papers co-authored together Rafael Padilha links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202033
2 202126
3 201216
4 202313
5 20226
6
Quality control and multi-lesion detection in automated retinopathy classification using a visual words dictionary
20135
7 20065
8 20204
9 20204
10 20214
11 20223
12 20202
13 20201
14 20211

About Rafael Padilha

Rafael Padilha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 123 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (5 papers), Face recognition and analysis (3 papers), Retinal Imaging and Analysis (2 papers), Digital Imaging for Blood Diseases (2 papers), Digital and Cyber Forensics (2 papers), Face and Expression Recognition (2 papers), Video Analysis and Summarization (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (69 citations), Signal Processing (32 citations), Ophthalmology (17 citations), Experimental and Cognitive Psychology (23 citations) and Acoustics and Ultrasonics (1 citation). Rafael Padilha has collaborated with scholars based in Brazil, United States and Norway. Frequent co-authors include Anderson Rocha, Fernanda Andaló, Waldir R. De Almeida, Jacques Wainer, Ricardo da Silva Torres, Siome Goldenstein, Ramon Pires, Herbert F. Jelinek, Terry Bossomaier and Antônio Theóphilo. Their work appears in journals such as PLoS ONE, IEEE Security & Privacy, Estudos Avançados, IEEE Transactions on Information Forensics and Security and Journal of Visual Communication and Image Representation.

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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