Fernanda Andaló

575 total citations
25 papers, 249 citations indexed

About

Fernanda Andaló is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, Fernanda Andaló has authored 25 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Geology. Recurrent topics in Fernanda Andaló's work include Digital Media Forensic Detection (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Fernanda Andaló is often cited by papers focused on Digital Media Forensic Detection (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Fernanda Andaló collaborates with scholars based in Brazil, United States and Hong Kong. Fernanda Andaló's co-authors include Gabriel Taubin, Ricardo da Silva Torres, Anderson Rocha, Alexandre X. Falcão, Paulo A. V. Miranda, Siome Goldenstein, Waldir R. De Almeida, Jacques Wainer, Antônio Theóphilo and Jaime Aparecido Cury and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Fernanda Andaló

25 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernanda Andaló Brazil 10 174 36 35 30 24 25 249
Paul Chippendale Italy 8 110 0.6× 17 0.5× 32 0.9× 9 0.3× 16 0.7× 21 230
Franz Graf Germany 8 68 0.4× 39 1.1× 58 1.7× 11 0.5× 48 212
Vineet Gandhi India 10 229 1.3× 24 0.7× 54 1.5× 14 0.6× 37 284
Luz Castro Spain 6 71 0.4× 10 0.3× 25 0.7× 4 0.2× 7 257
Albert Clapés Spain 9 228 1.3× 17 0.5× 65 1.9× 13 0.5× 19 334
Adilson Gonzaga Brazil 8 164 0.9× 50 1.4× 48 1.4× 4 0.2× 48 286
Hui Zeng China 11 323 1.9× 24 0.7× 44 1.3× 3 0.1× 1 0.0× 45 376
Yanting Pei China 6 220 1.3× 12 0.3× 59 1.7× 1 0.0× 3 0.1× 9 308
Bailan Feng China 10 268 1.5× 34 0.9× 54 1.5× 1 0.0× 5 0.2× 32 314

Countries citing papers authored by Fernanda Andaló

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Andaló

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernanda Andaló

This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda Andaló. A scholar is included among the top collaborators of Fernanda Andaló 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 Fernanda Andaló. Fernanda Andaló 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.
Theóphilo, Antônio, et al.. (2023). Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship Attribution. IEEE Transactions on Information Forensics and Security. 18. 3876–3890. 10 indexed citations
2.
Wan, Renjie, Daniel Moreira, Haoliang Li, et al.. (2023). The Age of Synthetic Realities: Challenges and Opportunities. APSIPA Transactions on Signal and Information Processing. 12(1). 1–62. 13 indexed citations
3.
Theóphilo, Antônio, et al.. (2022). Explainable Artificial Intelligence for Authorship Attribution on Social Media. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2909–2913. 3 indexed citations
4.
Workman, Scott, et al.. (2022). Content-Aware Detection of Temporal Metadata Manipulation. IEEE Transactions on Information Forensics and Security. 17. 1316–1327. 6 indexed citations
5.
Theóphilo, Antônio, et al.. (2021). A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI. Estudos Avançados. 35(101). 113–138. 1 indexed citations
6.
Andaló, Fernanda, et al.. (2021). Temporally sorting images from real-world events. Pattern Recognition Letters. 147. 212–219. 4 indexed citations
7.
Andaló, Fernanda, et al.. (2021). Cross-dataset emotion recognition from facial expressions through convolutional neural networks. Journal of Visual Communication and Image Representation. 82. 103395–103395. 26 indexed citations
8.
Almeida, Waldir R. De, et al.. (2020). Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function. PLoS ONE. 15(9). e0238058–e0238058. 32 indexed citations
9.
Andaló, Fernanda, et al.. (2020). Two‐tiered face verification with low‐memory footprint for mobile devices. IET Biometrics. 9(5). 205–215. 4 indexed citations
10.
Ferreira, Alexandre, et al.. (2019). Counteracting the contemporaneous proliferation of digital forgeries and fake news. Anais da Academia Brasileira de Ciências. 91(suppl 1). e20180149–e20180149. 8 indexed citations
11.
Andaló, Fernanda, Otávio A. B. Penatti, & Vanessa Testoni. (2017). TWM: A framework for creating highly compressible videos targeted to computer vision tasks. Pattern Recognition Letters. 114. 63–72. 2 indexed citations
12.
Andaló, Fernanda, et al.. (2017). CrowdPet: Deep learning applied to the detection of dogs in the wild. Anais do Congresso de Iniciação Científica da Unicamp. 1 indexed citations
13.
Andaló, Fernanda, Gabriel Taubin, & Siome Goldenstein. (2016). PSQP: Puzzle Solving by Quadratic Programming. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(2). 385–396. 20 indexed citations
14.
Andaló, Fernanda, et al.. (2012). Solving Image Puzzles with a Simple Quadratic Programming Formulation. 63–70. 17 indexed citations
15.
Andaló, Fernanda, et al.. (2011). Accurate 3D footwear impression recovery from photographs. P24–P24. 11 indexed citations
16.
Tenuta, Lívia Maria Andaló, et al.. (2010). Fluorosis in rats exposed to oscillating chronic fluoride doses. Brazilian Dental Journal. 21(1). 32–37. 9 indexed citations
17.
Andaló, Fernanda, Gabriel Taubin, & Siome Goldenstein. (2010). Detecting vanishing points by segment clustering on the projective plane for single-view photogrammetry. 1–6. 3 indexed citations
18.
Andaló, Fernanda, Paulo A. V. Miranda, Ricardo da Silva Torres, & Alexandre X. Falcão. (2009). Shape feature extraction and description based on tensor scale. Pattern Recognition. 43(1). 26–36. 40 indexed citations
19.
Andaló, Fernanda, Paulo A. V. Miranda, Ricardo da Silva Torres, & Alexandre X. Falcão. (2007). A New Shape Descriptor Based on Tensor Scale.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 141–152. 5 indexed citations
20.
Andaló, Fernanda, Paulo A. V. Miranda, Ricardo da Silva Torres, & Alexandre X. Falcão. (2007). Detecting Contour Saliences using Tensor Scale. 1. VI – 349. 6 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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