Sylvio Barbon

3.2k total citations
133 papers, 2.0k citations indexed

About

Sylvio Barbon is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Sylvio Barbon has authored 133 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 30 papers in Computer Networks and Communications and 27 papers in Signal Processing. Recurrent topics in Sylvio Barbon's work include Network Security and Intrusion Detection (25 papers), Spectroscopy and Chemometric Analyses (22 papers) and Anomaly Detection Techniques and Applications (18 papers). Sylvio Barbon is often cited by papers focused on Network Security and Intrusion Detection (25 papers), Spectroscopy and Chemometric Analyses (22 papers) and Anomaly Detection Techniques and Applications (18 papers). Sylvio Barbon collaborates with scholars based in Brazil, Italy and United States. Sylvio Barbon's co-authors include Douglas Fernandes Barbin, Saulo Martiello Mastelini, Victor G. Turrisi da Costa, Bruno Bogaz Zarpel�ão, Ana Paula Ayub da Costa Barbon, Gabriel Marques Tavares, Rafael Gomes Mantovani, Mário Lemes Proença, Nektarios A. Valous and Rodrigo Capobianco Guido and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Sylvio Barbon

128 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvio Barbon Brazil 27 719 483 382 312 299 133 2.0k
Wei Fan China 28 1.5k 2.1× 849 1.8× 878 2.3× 467 1.5× 538 1.8× 95 3.4k
José Camacho Spain 25 394 0.5× 439 0.9× 464 1.2× 213 0.7× 85 0.3× 91 1.9k
Jayanta Kumar Basak India 21 597 0.8× 171 0.4× 85 0.2× 103 0.3× 140 0.5× 119 1.8k
Ioan-Cristian Trelea France 27 961 1.3× 112 0.2× 187 0.5× 48 0.2× 62 0.2× 80 3.5k
Yongbo Li China 41 544 0.8× 217 0.4× 67 0.2× 134 0.4× 58 0.2× 230 5.6k
Ping Chen China 24 841 1.2× 105 0.2× 199 0.5× 152 0.5× 359 1.2× 165 1.9k
Qin Xin Faroe Islands 26 375 0.5× 163 0.3× 718 1.9× 90 0.3× 314 1.1× 170 2.1k
Yan Jia China 24 728 1.0× 109 0.2× 167 0.4× 84 0.3× 270 0.9× 226 2.3k
Arun Sharma India 22 386 0.5× 53 0.1× 227 0.6× 67 0.2× 586 2.0× 164 1.7k

Countries citing papers authored by Sylvio Barbon

Since Specialization
Citations

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

Fields of papers citing papers by Sylvio Barbon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvio Barbon

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvio Barbon. A scholar is included among the top collaborators of Sylvio Barbon 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 Sylvio Barbon. Sylvio Barbon 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
2.
Barbon, Sylvio, et al.. (2024). Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage. Food Research International. 192. 114836–114836. 9 indexed citations
4.
Barbon, Sylvio, et al.. (2024). Deep computer vision system and explainable artificial intelligence applied for classification of dragon fruit (Hylocereus spp.). Scientia Horticulturae. 338. 113605–113605. 7 indexed citations
5.
Tavares, Gabriel Marques, et al.. (2024). Automated Trace Clustering Pipeline Synthesis in Process Mining. Information. 15(4). 241–241. 1 indexed citations
6.
Barbon, Sylvio, Paolo Ceravolo, Sven Groppe, et al.. (2024). Are Large Language Models the New Interface for Data Pipelines?. University of Twente Research Information. 1–6. 4 indexed citations
7.
Scalassara, Paulo Rogério, et al.. (2024). Analyzing fatigue in dynamic exercise through electromyography signals and similarity metrics. Biomedical Signal Processing and Control. 99. 106864–106864.
8.
Barbon, Sylvio, et al.. (2023). Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners. Speech Communication. 152. 102952–102952. 8 indexed citations
9.
Tavares, Gabriel Marques, et al.. (2023). Using Process Mining to Reduce Fraud in Digital Onboarding. SHILAP Revista de lepidopterología. 2(1). 120–137. 4 indexed citations
10.
Barbon, Sylvio, et al.. (2021). Attack Detection in Smart Home IoT Networks using CluStream and Page-Hinkley Test. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 1–6. 3 indexed citations
11.
Carvalho, Luiz F., et al.. (2021). Unsupervised online anomaly detection in Software Defined Network environments. Expert Systems with Applications. 191. 116225–116225. 18 indexed citations
12.
Zarpel�ão, Bruno Bogaz, et al.. (2021). Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction. Sensors. 21(21). 7333–7333. 21 indexed citations
13.
Carvalho, Luiz F., et al.. (2020). Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks. IEEE Access. 8. 100172–100184. 27 indexed citations
14.
Costa, Victor G. Turrisi da, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, & Sylvio Barbon. (2019). Online local boosting: Improving performance in online decision trees. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 1 indexed citations
15.
Barbon, Sylvio, et al.. (2016). Topic Modeling based on Louvain method in Online Social Networks. IEEE International Conference on Cloud Computing Technology and Science. 47. 2 indexed citations
16.
Barbon, Sylvio, et al.. (2016). Intrusion Alert Correlation to Support Security Management. IEEE International Conference on Cloud Computing Technology and Science. 42. 6 indexed citations
17.
Barbon, Sylvio, et al.. (2015). Account classification in online social networks with LBCA and wavelets. Information Sciences. 332. 72–83. 39 indexed citations
18.
Barbon, Sylvio, et al.. (2015). M-Health Solution on pre-diagnosis of larynx. 67.
19.
Rojas, Gleidy Vannesa Espitia, et al.. (2014). Reconhecimento automático de Distonia Laríngea com base na sustentação do Pitch. Journal of Health Informatics. 6(2). 1 indexed citations
20.
Barbon, Sylvio, et al.. (2007). Improved Dynamic Time Warping Based on the Discrete Wavelet Transform. 256–263. 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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