Rafael Giusti

569 total citations
23 papers, 297 citations indexed

About

Rafael Giusti is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rafael Giusti has authored 23 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rafael Giusti's work include Music and Audio Processing (6 papers), Evolutionary Algorithms and Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Rafael Giusti is often cited by papers focused on Music and Audio Processing (6 papers), Evolutionary Algorithms and Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Rafael Giusti collaborates with scholars based in Brazil and United States. Rafael Giusti's co-authors include Gustavo E. A. P. A. Batista, Eulanda M. dos Santos, Diego Furtado Silva, Vinícius M. A. Souza, Eamonn Keogh, Marco Cristo, José Francisco de Magalhães Netto, Ronaldo C. Prati, Gustavo Batista and Sandra Maria Aluísio and has published in prestigious journals such as Sensors, Applied Sciences and Data Mining and Knowledge Discovery.

In The Last Decade

Rafael Giusti

19 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael Giusti Brazil 9 150 109 38 34 29 23 297
Ritu Bhargava India 3 106 0.7× 44 0.4× 7 0.2× 36 1.1× 55 1.9× 9 288
Francesco M. Delle Fave United Kingdom 9 51 0.3× 26 0.2× 38 1.0× 36 1.1× 109 3.8× 15 209
Tung‐Kuang Wu Taiwan 9 80 0.5× 18 0.2× 8 0.2× 11 0.3× 72 2.5× 25 277
Reza Khoshkangini Sweden 9 88 0.6× 48 0.4× 12 0.3× 28 0.8× 106 3.7× 21 245
Martin Mladenov Germany 11 158 1.1× 49 0.4× 6 0.2× 95 2.8× 43 1.5× 32 332
Weiming Zhang China 7 156 1.0× 29 0.3× 11 0.3× 51 1.5× 43 1.5× 27 284
Jianhua Ma Japan 9 52 0.3× 13 0.1× 10 0.3× 52 1.5× 46 1.6× 38 234
Resul Kara Türkiye 8 97 0.6× 20 0.2× 9 0.2× 25 0.7× 89 3.1× 31 290
Ruihui Mu China 3 114 0.8× 21 0.2× 12 0.3× 81 2.4× 25 0.9× 7 303

Countries citing papers authored by Rafael Giusti

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Giusti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Giusti

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Giusti. A scholar is included among the top collaborators of Rafael Giusti 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 Rafael Giusti. Rafael Giusti 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.
Giusti, Rafael, et al.. (2025). Analysis of Descriptors of Concept Drift and Their Impacts. Informatics. 12(1). 13–13.
2.
Souto, Eduardo, et al.. (2024). Inferring ECG Waveforms from PPG Signals with a Modified U-Net Neural Network. Sensors. 24(18). 6046–6046. 1 indexed citations
3.
Souto, Eduardo, et al.. (2024). Estimation of Systolic and Diastolic Blood Pressure for Hypertension Identification from Photoplethysmography Signals. Applied Sciences. 14(6). 2470–2470. 1 indexed citations
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Giusti, Rafael, et al.. (2022). Predicting Students at Risk of Dropout in Technical Course Using LMS Logs. Electronics. 11(3). 468–468. 18 indexed citations
7.
Santos, Eulanda M. dos, et al.. (2021). Spatio-Temporal Deep Learning-Based Methods for Defect Detection: An Industrial Application Study Case. Applied Sciences. 11(22). 10861–10861. 4 indexed citations
8.
Giusti, Rafael, et al.. (2021). Predicting Student Performance Based on Logs in Moodle LMS. 2021 IEEE Frontiers in Education Conference (FIE). 1–8. 7 indexed citations
9.
Giusti, Rafael, et al.. (2020). An overview of unsupervised drift detection methods. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 10(6). 73 indexed citations
10.
Cristo, Marco, et al.. (2019). Predicting Music Popularity Using Music Charts. 859–864. 14 indexed citations
11.
Souza, Vinícius M. A., et al.. (2018). Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning. Pervasive and Mobile Computing. 51. 121–137. 42 indexed citations
12.
Giusti, Rafael, et al.. (2018). Um Modelo de Predição para o Sucesso no Mercado Musical. 37–42.
13.
Silva, Diego Furtado, Rafael Giusti, Eamonn Keogh, & Gustavo E. A. P. A. Batista. (2018). Speeding up similarity search under dynamic time warping by pruning unpromising alignments. Data Mining and Knowledge Discovery. 32(4). 988–1016. 50 indexed citations
14.
Giusti, Rafael, Diego Furtado Silva, & Gustavo E. A. P. A. Batista. (2016). Improved Time Series Classification with Representation Diversity and SVM. 1–6. 5 indexed citations
15.
Giusti, Rafael & Gustavo E. A. P. A. Batista. (2013). An Empirical Comparison of Dissimilarity Measures for Time Series Classification. 82–88. 36 indexed citations
16.
Giusti, Rafael & Gustavo Batista. (2010). Discovering Knowledge Rules with Multi-Objective Evolutionary Computing. 119–124. 1 indexed citations
17.
Giusti, Rafael, Gustavo Batista, & Ronaldo C. Prati. (2008). Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules. 537–542. 8 indexed citations
18.
Giusti, Rafael, et al.. (2007). Automatic detection of spelling variation in historical corpus An application to build a Brazilian Portuguese spelling variants dictionary. 10 indexed citations
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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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