Filippo Sorbello

1.3k total citations
81 papers, 876 citations indexed

About

Filippo Sorbello is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Filippo Sorbello has authored 81 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 27 papers in Signal Processing and 20 papers in Information Systems. Recurrent topics in Filippo Sorbello's work include Biometric Identification and Security (23 papers), User Authentication and Security Systems (18 papers) and Algebraic and Geometric Analysis (14 papers). Filippo Sorbello is often cited by papers focused on Biometric Identification and Security (23 papers), User Authentication and Security Systems (18 papers) and Algebraic and Geometric Analysis (14 papers). Filippo Sorbello collaborates with scholars based in Italy, United States and Canada. Filippo Sorbello's co-authors include Salvatore Vitabile, Vincenzo Conti, Carmelo Militello, Antonio Gentile, Giorgio Vassallo, Alessandra De Paola, Antonio Gentile, Giovanni Pilato, Valerio Conti and Salvatore Gaglio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and Building and Environment.

In The Last Decade

Filippo Sorbello

75 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filippo Sorbello Italy 17 372 265 199 150 117 81 876
Yilun Chen China 13 213 0.6× 177 0.7× 52 0.3× 9 0.1× 56 0.5× 45 1.0k
Chenglong Wang China 14 316 0.8× 120 0.5× 139 0.7× 6 0.0× 32 0.3× 36 811
Guanghong Gong China 15 118 0.3× 66 0.2× 71 0.4× 5 0.0× 24 0.2× 109 791
Xiangrui Cai China 12 152 0.4× 168 0.6× 42 0.2× 4 0.0× 44 0.4× 36 729
Xiao Zheng China 15 182 0.5× 41 0.2× 136 0.7× 3 0.0× 30 0.3× 89 786
Simon S. Woo South Korea 19 623 1.7× 277 1.0× 170 0.9× 71 0.6× 128 1.4k
Cheong Hee Park South Korea 18 260 0.7× 131 0.5× 92 0.5× 2 0.0× 27 0.2× 63 876
Michael B. Dillencourt United States 15 330 0.9× 87 0.3× 37 0.2× 9 0.1× 37 0.3× 65 921
M.C. Fairhurst United Kingdom 20 829 2.2× 267 1.0× 200 1.0× 8 0.1× 22 0.2× 145 1.4k
Mahesh Chandra Govil India 15 152 0.4× 214 0.8× 360 1.8× 68 0.6× 111 1.1k

Countries citing papers authored by Filippo Sorbello

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Sorbello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Sorbello

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Sorbello. A scholar is included among the top collaborators of Filippo Sorbello 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 Filippo Sorbello. Filippo Sorbello 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.
Conti, Vincenzo, et al.. (2015). Fingerprint Quality Evaluation in a Novel Embedded Authentication System for Mobile Users. Mobile Information Systems. 2015. 1–13. 5 indexed citations
2.
Conti, Vincenzo, Carmelo Militello, Filippo Sorbello, & Salvatore Vitabile. (2015). Biometric sensors rapid prototyping on field-programmable gate arrays. The Knowledge Engineering Review. 30(2). 201–219. 6 indexed citations
3.
Militello, Carmelo, Vincenzo Conti, Filippo Sorbello, & Salvatore Vitabile. (2014). A Fast Fusion Technique for Fingerprint and Iris Spatial Descriptors in Multimodal Biometric Systems. Nova Science Publishers (Nova Science Publishers, Inc.). 29(3). 205–217. 3 indexed citations
4.
Sorbello, Filippo, et al.. (2014). A Novel Technique for Fingerprint Classification Based on Fuzzy C-Means and Naive Bayes Classifier. Nova Science Publishers (Nova Science Publishers, Inc.). 2. 155–161. 10 indexed citations
5.
Conti, Vincenzo, et al.. (2013). An Advanced Technique for User Identification Using Partial Fingerprint. Nova Science Publishers (Nova Science Publishers, Inc.). 236–242. 10 indexed citations
6.
Militello, Carmelo, Vincenzo Conti, Filippo Sorbello, & Salvatore Vitabile. (2010). An embedded iris recognizer for portable and mobile devices. Nova Science Publishers (Nova Science Publishers, Inc.). 25(2). 119–131. 7 indexed citations
7.
Lanza, Barbara, et al.. (2010). BioAnalysis: A Framework for Structural and Functional Robustness Analysis of Metabolic Networks. Nova Science Publishers (Nova Science Publishers, Inc.). 407. 138–145. 5 indexed citations
8.
Conti, Vincenzo, Carmelo Militello, Filippo Sorbello, & Salvatore Vitabile. (2009). A Multimodal Technique for an Embedded Fingerprint Recognizer in Mobile Payment Systems. SHILAP Revista de lepidopterología. 5 indexed citations
9.
Gentile, Antonio, et al.. (2007). A Sliced Coprocessor for Native Clifford Algebra Operations. 436–439. 20 indexed citations
10.
Sorbello, Filippo, et al.. (2007). Fuzzy Fusion in Multimodal Biometric Systems. Lecture notes in computer science. 108–115. 8 indexed citations
11.
Sorbello, Filippo, et al.. (2007). Two-days ahead prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the urban area of Palermo, Italy. Atmospheric Environment. 41(14). 2967–2995. 107 indexed citations
12.
Sorbello, Filippo, et al.. (2005). Hourly Forecasting of SO2 Pollutant Concentration Using an Elman Neural Network. Nova Science Publishers (Nova Science Publishers, Inc.). 1 indexed citations
13.
Vitabile, Salvatore, Antonio Gentile, Sabato Marco Siniscalchi, & Filippo Sorbello. (2004). Efficient rapid prototyping of image and video processing algorithms. 452–458. 4 indexed citations
14.
Pilato, Giovanni, et al.. (2004). Web directories as a knowledge base to build a multi-agent system for information sharing. Nova Science Publishers (Nova Science Publishers, Inc.). 2(4). 265–277. 3 indexed citations
15.
Vitabile, Salvatore, et al.. (2003). Agents Ownership Setting by User Fingerprints.. 135–139. 1 indexed citations
16.
Sorbello, Filippo, et al.. (2002). Monreale: a new genetic algorithm for the solution of the channel routing problem. cad 6. 462–466. 3 indexed citations
17.
Vitabile, Salvatore & Filippo Sorbello. (1998). Pictogram road signs detection and understanding in outdoor scenes. SPIE eBooks. 3364. 359–370. 12 indexed citations
18.
Ardizzone, Edoardo, Antonio Chella, Roberto Pirrone, & Filippo Sorbello. (1994). Recovering 3-D form features by a connectionist architecture. Pattern Recognition Letters. 15(1). 77–85.
19.
Sorbello, Filippo, et al.. (1976). A simple algorithm for frequency domain design. 45. 378–383. 1 indexed citations
20.
Sorbello, Filippo, et al.. (1970). Artificial Neural Networks And Real WorldProblems: Character Recognition AndChemical Compounds Classification. WIT transactions on information and communication technologies. 11. 1 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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