Alessio Bechini

1.2k total citations
49 papers, 770 citations indexed

About

Alessio Bechini is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Alessio Bechini has authored 49 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Alessio Bechini's work include Parallel Computing and Optimization Techniques (9 papers), Data Mining Algorithms and Applications (6 papers) and Data Management and Algorithms (6 papers). Alessio Bechini is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Data Mining Algorithms and Applications (6 papers) and Data Management and Algorithms (6 papers). Alessio Bechini collaborates with scholars based in Italy and United States. Alessio Bechini's co-authors include Francesco Marcelloni, Alessandro Renda, Pietro Ducange, Mario G. C. A. Cimino, Armando Segatori, Eleonora D’Andrea, Cosimo Antonio Prete, Kuo‐Chung Tai, Beatrice Lazzerini and Alessandro Bondielli and has published in prestigious journals such as Bioinformatics, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Alessio Bechini

47 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessio Bechini Italy 13 285 180 139 88 68 49 770
Dianhui Mao China 12 139 0.5× 383 2.1× 184 1.3× 65 0.7× 28 0.4× 28 655
AKM Bahalul Haque Bangladesh 13 192 0.7× 292 1.6× 38 0.3× 135 1.5× 54 0.8× 32 704
Chung-Hong Lee Taiwan 17 393 1.4× 212 1.2× 17 0.1× 47 0.5× 45 0.7× 87 828
Elio Masciari Italy 17 358 1.3× 277 1.5× 11 0.1× 194 2.2× 118 1.7× 100 745
Weili Han China 20 367 1.3× 834 4.6× 118 0.8× 479 5.4× 203 3.0× 75 1.4k
Μanos Roumeliotis Greece 13 102 0.4× 212 1.2× 24 0.2× 167 1.9× 38 0.6× 61 699
Kamanashis Biswas Australia 16 190 0.7× 784 4.4× 56 0.4× 658 7.5× 50 0.7× 40 1.3k
Ghalem Belalem Algeria 14 169 0.6× 290 1.6× 19 0.1× 335 3.8× 24 0.4× 116 698
Zhijie Li China 13 104 0.4× 241 1.3× 17 0.1× 179 2.0× 16 0.2× 64 622
Huaming Chen Australia 12 152 0.5× 307 1.7× 22 0.2× 110 1.3× 19 0.3× 61 749

Countries citing papers authored by Alessio Bechini

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Bechini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessio Bechini

This figure shows the co-authorship network connecting the top 25 collaborators of Alessio Bechini. A scholar is included among the top collaborators of Alessio Bechini 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 Alessio Bechini. Alessio Bechini 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.
Marcelloni, Francesco, et al.. (2024). Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data. IEEE Transactions on Artificial Intelligence. 5(12). 6426–6441. 4 indexed citations
2.
Donati, Massimiliano, et al.. (2024). Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration. Electronics. 13(8). 1462–1462. 1 indexed citations
3.
Donati, Massimiliano, et al.. (2024). Design and Validation of an Intelligent System for Decision-making on Telemonitoring Intensity in Heart Failure Patients. CINECA IRIS Institutial research information system (University of Pisa). 58–63. 1 indexed citations
4.
Bechini, Alessio, et al.. (2023). An Application for Federated Learning of XAI Models in Edge Computing Environments. CINECA IRIS Institutial research information system (University of Pisa). 1–7. 2 indexed citations
5.
Cavazza, Jacopo, et al.. (2023). Blind Approach Using Convolutional Neural Networks to a New Ultrasound Image Denoising Task. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
6.
Bechini, Alessio, et al.. (2022). A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting. ACM Transactions on Knowledge Discovery from Data. 16(6). 1–29. 4 indexed citations
7.
Bechini, Alessio, et al.. (2022). Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis. Zenodo (CERN European Organization for Nuclear Research). 1–8. 5 indexed citations
8.
Bechini, Alessio, Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni, & Alessandro Renda. (2021). Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application. IEEE Access. 9. 77758–77770. 18 indexed citations
9.
Bechini, Alessio, Francesco Marcelloni, & Alessandro Renda. (2020). TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams. IEEE Transactions on Fuzzy Systems. 30(3). 623–637. 38 indexed citations
10.
Bechini, Alessio, et al.. (2020). An analysis of boosted ensembles of binary fuzzy decision trees. Expert Systems with Applications. 154. 113436–113436. 14 indexed citations
11.
Bechini, Alessio, Pietro Ducange, Francesco Marcelloni, & Alessandro Renda. (2020). Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy. IEEE Intelligent Systems. 36(5). 131–139. 12 indexed citations
12.
13.
Renda, Alessandro, et al.. (2019). Comparing ensemble strategies for deep learning: An application to facial expression recognition. Expert Systems with Applications. 136. 1–11. 42 indexed citations
14.
D’Andrea, Eleonora, Pietro Ducange, Alessio Bechini, Alessandro Renda, & Francesco Marcelloni. (2018). Monitoring the public opinion about the vaccination topic from tweets analysis. Expert Systems with Applications. 116. 209–226. 111 indexed citations
15.
Segatori, Armando, Alessio Bechini, Pietro Ducange, & Francesco Marcelloni. (2017). A Distributed Fuzzy Associative Classifier for Big Data. IEEE Transactions on Cybernetics. 48(9). 2656–2669. 35 indexed citations
16.
Bechini, Alessio, et al.. (2016). Spreading fuzzy random forests with MapReduce. CINECA IRIS Institutial research information system (University of Pisa). 33. 2641–2646. 4 indexed citations
17.
Bechini, Alessio, Francesco Marcelloni, & Armando Segatori. (2015). A MapReduce solution for associative classification of big data. Information Sciences. 332. 33–55. 81 indexed citations
18.
Anastasi, Giuseppe, Michela Antonelli, Alessio Bechini, et al.. (2013). Urban and social sensing for sustainable mobility in smart cities. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 53 indexed citations
19.
Bechini, Alessio, et al.. (2004). The Ecumene Experience to Data Integration in Cultural Heritage Web Information Systems. CINECA IRIS Institutial research information system (University of Pisa). 1. 49–59. 1 indexed citations
20.
Bechini, Alessio & Cosimo Antonio Prete. (1999). Instrumentation of Concurrent Java Applications for Program Behavior Investigation. CINECA IRIS Institutial research information system (University of Pisa). 21–29. 2 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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