Fernanda Andaló

60 total papers · 571 total citations
25 papers, 246 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 246 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 Denmark. Fernanda Andaló's co-authors include Gabriel Taubin, Ricardo da Silva Torres, Anderson Rocha, Siome Goldenstein, Paulo A. V. Miranda, Alexandre X. Falcão, Waldir R. De Almeida, Jacques Wainer, Antônio Theóphilo and Alexandre Ferreira 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 235 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fernanda Andaló	173	36	34	30	22	25	246
Paweł Powroźnik	82 0.5×	15 0.4×	40 1.2×	14 0.5×	17 0.8×	34	256
Huan Wang	155 0.9×	18 0.5×	26 0.8×	3 0.1×	8 0.4×	27	220
Nanne van Noord	192 1.1×	18 0.5×	73 2.1×	7 0.2×		22	300
Paul Chippendale	110 0.6×	17 0.5×	32 0.9×	9 0.3×	16 0.7×	21	230
Neelam Gohar	45 0.3×	21 0.6×	39 1.1×	3 0.1×	3 0.1×	22	248
Menglong Yang	192 1.1×	87 2.4×	36 1.1×	4 0.1×	3 0.1×	20	314
Hiranmay Ghosh	153 0.9×	50 1.4×	48 1.4×		13 0.6×	34	237
Dario Allegra	89 0.5×	10 0.3×	25 0.7×	13 0.4×	1 0.0×	27	241
Srijith Rajeev	165 1.0×	90 2.5×	22 0.6×	2 0.1×	11 0.5×	21	249
Franz Graf	68 0.4×	39 1.1×	58 1.7×		12 0.5×	48	212

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

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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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