Antonello Rizzi

4.4k total citations · 1 hit paper
175 papers, 2.7k citations indexed

About

Antonello Rizzi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Antonello Rizzi has authored 175 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 46 papers in Electrical and Electronic Engineering and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Antonello Rizzi's work include Neural Networks and Applications (31 papers), Rough Sets and Fuzzy Logic (22 papers) and Fuzzy Logic and Control Systems (22 papers). Antonello Rizzi is often cited by papers focused on Neural Networks and Applications (31 papers), Rough Sets and Fuzzy Logic (22 papers) and Fuzzy Logic and Control Systems (22 papers). Antonello Rizzi collaborates with scholars based in Italy, Canada and United States. Antonello Rizzi's co-authors include Fabio Massimo Frattale Mascioli, Lorenzo Livi, Alireza Sadeghian, Enrico De Santis, Filippo Maria Bianchi, Alessio Martino, Maurizio Paschero, Stefano Leonori, Massimo Panella and Fabrizio Frezza and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Energy.

In The Last Decade

Antonello Rizzi

167 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

2019 278 citations Khushboo Munir, Hassan Elahi et al. Cancers profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonello Rizzi Italy	25	1.1k	969	608	413	328	175	2.7k
Chao Zhang China	22	650 0.6×	597 0.6×	915 1.5×	244 0.6×	202 0.6×	146	4.1k
Junjie Xu China	19	1.2k 1.2×	445 0.5×	905 1.5×	386 0.9×	388 1.2×	41	3.2k
Yuehui Chen China	33	1.5k 1.4×	523 0.5×	523 0.9×	403 1.0×	195 0.6×	250	3.8k
Kashif Hussain China	20	2.1k 1.9×	684 0.7×	490 0.8×	479 1.2×	870 2.7×	34	3.7k
Liying Wang China	17	2.0k 1.8×	1.1k 1.1×	819 1.3×	390 0.9×	891 2.7×	59	4.0k
Xinhong Hei China	22	1.0k 0.9×	323 0.3×	403 0.7×	358 0.9×	362 1.1×	245	2.4k
Heming Jia China	29	1.5k 1.4×	363 0.4×	526 0.9×	535 1.3×	665 2.0×	110	3.3k
Raed Abu Zitar Jordan	29	1.0k 0.9×	431 0.4×	298 0.5×	425 1.0×	263 0.8×	124	2.4k
Qi Kang China	31	1.3k 1.2×	942 1.0×	538 0.9×	313 0.8×	307 0.9×	142	3.0k
Abdolreza Hatamlou Iran	13	2.6k 2.4×	679 0.7×	443 0.7×	514 1.2×	1.1k 3.4×	25	4.0k

Countries citing papers authored by Antonello Rizzi

Since Specialization

Citations

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

Fields of papers citing papers by Antonello Rizzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonello Rizzi

This figure shows the co-authorship network connecting the top 25 collaborators of Antonello Rizzi. A scholar is included among the top collaborators of Antonello Rizzi 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 Antonello Rizzi. Antonello Rizzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Santis, Enrico De, et al.. (2024). From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 1063–1077. 9 indexed citations

Santis, Enrico De, et al.. (2024). Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting. IRIS Research product catalog (Sapienza University of Rome). 1–8.

Santis, Enrico De & Antonello Rizzi. (2023). Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing. Cognitive Computation. 15(3). 976–997. 4 indexed citations

Leonori, Stefano, et al.. (2021). A Physically Inspired Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells. Energies. 14(21). 7386–7386. 10 indexed citations

Leonori, Stefano, et al.. (2020). A generalized framework for ANFIS synthesis procedures by clustering techniques. Applied Soft Computing. 96. 106622–106622. 12 indexed citations

Martino, Alessio, Enrico De Santis, Alessandro Giuliani, & Antonello Rizzi. (2020). Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations. Entropy. 22(7). 794–794. 4 indexed citations

Leonori, Stefano, Alessio Martino, Fabio Massimo Frattale Mascioli, & Antonello Rizzi. (2019). ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min–Max Classifier. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(3). 193–204. 17 indexed citations

Munir, Khushboo, et al.. (2019). Cancer Diagnosis Using Deep Learning: A Bibliographic Review. Cancers. 11(9). 1235–1235. 278 indexed citations breakdown →

Leonori, Stefano, Maurizio Paschero, Fabio Massimo Frattale Mascioli, & Antonello Rizzi. (2019). Optimization strategies for Microgrid energy management systems by Genetic Algorithms. Applied Soft Computing. 86. 105903–105903. 151 indexed citations

10.

Martino, Alessio, Alessandro Giuliani, & Antonello Rizzi. (2019). (Hyper)Graph Embedding and Classification via Simplicial Complexes. Algorithms. 12(11). 223–223. 21 indexed citations

11.

Martino, Alessio, et al.. (2019). Metabolic networks classification and knowledge discovery by information granulation. Computational Biology and Chemistry. 84. 107187–107187. 16 indexed citations

12.

Martino, Alessio, Antonello Rizzi, & Fabio Massimo Frattale Mascioli. (2018). Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1–8. 16 indexed citations

13.

Santis, Enrico De, et al.. (2018). A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. IRIS Research product catalog (Sapienza University of Rome). 1–8. 3 indexed citations

14.

Santis, Enrico De, Alireza Sadeghian, & Antonello Rizzi. (2017). A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current. International Journal of Bifurcation and Chaos. 27(14). 1750211–1750211. 4 indexed citations

15.

Rizzi, Antonello, et al.. (2015). A low complexity real-time Internet traffic flows neuro-fuzzy classifier. Computer Networks. 91. 752–771. 13 indexed citations

16.

Bianchi, Filippo Maria, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, & Alireza Sadeghian. (2015). Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks. 71. 204–213. 59 indexed citations

17.

Paschero, Maurizio, et al.. (2009). An Embedded Computer Based System for Monitoring, Diagnostics and Communication in Hybrid and Electric Vehicles. IRIS Research product catalog (Sapienza University of Rome).

18.

Rizzi, Antonello, Massimo Panella, & Fabio Massimo Frattale Mascioli. (2002). Adaptive resolution min-max classifiers. IEEE Transactions on Neural Networks. 13(2). 402–414. 78 indexed citations

19.

Mascioli, Fabio Massimo Frattale, et al.. (1998). A nonexclusive classification system based on co-operative fuzzy clustering. European Signal Processing Conference. 1. 1–4. 5 indexed citations

20.

Mascioli, Fabio Massimo Frattale, Giovanni Martinelli, & Antonello Rizzi. (1997). Compactness-separability optimization of fuzzy clusters. IOS Press eBooks. 452–457. 3 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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