Renato De Leone

1.6k total citations
79 papers, 962 citations indexed

About

Renato De Leone is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Renato De Leone has authored 79 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 14 papers in Numerical Analysis and 11 papers in Control and Systems Engineering. Recurrent topics in Renato De Leone's work include Advanced Optimization Algorithms Research (13 papers), Matrix Theory and Algorithms (10 papers) and Coagulation and Flocculation Studies (7 papers). Renato De Leone is often cited by papers focused on Advanced Optimization Algorithms Research (13 papers), Matrix Theory and Algorithms (10 papers) and Coagulation and Flocculation Studies (7 papers). Renato De Leone collaborates with scholars based in Italy, United States and China. Renato De Leone's co-authors include O. L. Mangasarian, Gerardo Odriozola, Rajiv Jain, Minjoong Rim, Jessica Rosati, Tommaso Di Noia, Petar Ristoski, Heiko Paulheim, R. Hidalgo‐Álvarez and A. Schmitt and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Renato De Leone

76 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renato De Leone Italy 18 250 217 176 166 100 79 962
И. В. Сергиенко Ukraine 15 233 0.9× 115 0.5× 54 0.3× 121 0.7× 68 0.7× 238 1.0k
Julius Žilinskas Lithuania 20 564 2.3× 410 1.9× 72 0.4× 461 2.8× 16 0.2× 89 1.2k
Robert G. Bland United States 10 506 2.0× 149 0.7× 219 1.2× 254 1.5× 19 0.2× 22 1.1k
B. Pasik-Duncan United States 19 193 0.8× 159 0.7× 93 0.5× 50 0.3× 129 1.3× 120 1.9k
Majid Khan Pakistan 32 454 1.8× 1.2k 5.6× 94 0.5× 404 2.4× 221 2.2× 147 3.2k
Akiko Takeda Japan 18 232 0.9× 177 0.8× 135 0.8× 221 1.3× 22 0.2× 116 1.0k
Daniel Tabak United States 11 252 1.0× 98 0.5× 82 0.5× 153 0.9× 15 0.1× 48 1.0k
Michel Gondran France 10 295 1.2× 131 0.6× 113 0.6× 23 0.1× 24 0.2× 42 826
Achim Bachem Germany 11 293 1.2× 90 0.4× 60 0.3× 71 0.4× 82 0.8× 27 838
Jan Willem Polderman Netherlands 15 299 1.2× 136 0.6× 80 0.5× 111 0.7× 24 0.2× 66 1.3k

Countries citing papers authored by Renato De Leone

Since Specialization
Citations

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

Fields of papers citing papers by Renato De Leone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renato De Leone. 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 Renato De Leone. The network helps show where Renato De Leone may publish in the future.

Co-authorship network of co-authors of Renato De Leone

This figure shows the co-authorship network connecting the top 25 collaborators of Renato De Leone. A scholar is included among the top collaborators of Renato De Leone 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 Renato De Leone. Renato De Leone 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.
Leone, Renato De, et al.. (2025). An Efficient Sparse Twin Parametric Insensitive Support Vector Regression Model. Mathematics. 13(13). 2206–2206.
2.
Pang, Jing S., Wei Sun, Renato De Leone, & Shun‐Feng Su. (2025). Prescribed Performance Control for Flexible Joint Robots With All State Quantization: Design and Experiments. IEEE Transactions on Industrial Electronics. 72(12). 13681–13692.
3.
Leone, Renato De, et al.. (2024). Sparse Learning for Linear Twin Parameter-margin Support Vector Machine. Unicam Scientific Publications (University of Camerino). 50–55. 1 indexed citations
4.
Raponi, Elena, et al.. (2024). Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. Unicam Scientific Publications (University of Camerino). 4(3). 1–33. 9 indexed citations
5.
Pang, Jing S., Wei Sun, Renato De Leone, & Xiangpeng Xie. (2024). Command Filtered Adaptive Control for Flexible-Joint Robots With Full-State Quantization. IEEE Transactions on Systems Man and Cybernetics Systems. 54(12). 7195–7205. 4 indexed citations
6.
Wang, Guangyu, et al.. (2024). Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment. Biomedical Signal Processing and Control. 98. 106766–106766. 1 indexed citations
7.
Leone, Renato De, et al.. (2023). A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information. Sensors. 23(4). 2013–2013.
8.
Raponi, Elena, et al.. (2023). Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60. SPIRE - Sciences Po Institutional REpository. 2390–2393. 1 indexed citations
9.
Qiao, Lishan, et al.. (2022). Joint selection of brain network nodes and edges for MCI identification. Computer Methods and Programs in Biomedicine. 225. 107082–107082. 10 indexed citations
10.
Wang, Jianjun, Renato De Leone, Shihua Fu, Jianwei Xia, & Lishan Qiao. (2021). Stabilisation and set stabilisation of periodic switched Boolean control networks. International Journal of Control. 96(3). 699–710. 5 indexed citations
11.
Leone, Renato De, Giovanni Fasano, Massimo Roma, & Yaroslav D. Sergeyev. (2020). Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization. Journal of Optimization Theory and Applications. 186(2). 554–589. 12 indexed citations
12.
Wang, Jianjun, Renato De Leone, Shihua Fu, Jianwei Xia, & Lishan Qiao. (2020). Event-triggered control design for networked evolutionary games with time invariant delay in strategies. International Journal of Systems Science. 52(3). 493–504. 11 indexed citations
13.
Leone, Renato De, et al.. (2020). The use of grossone in elastic net regularization and sparse support vector machines. Soft Computing. 24(23). 17669–17677. 5 indexed citations
14.
Wang, Jianjun, Renato De Leone, Shihua Fu, & Jianwei Xia. (2019). Input–output decoupling for mix-valued logical control networks via the semi-tensor product method. International Journal of Control. 94(9). 2419–2427. 10 indexed citations
15.
Rosati, Jessica, Petar Ristoski, Tommaso Di Noia, Renato De Leone, & Heiko Paulheim. (2016). RDF graph embeddings for content-based recommender systems. MADOC (University of Mannheim). 1673. 23–30. 7 indexed citations
16.
Silvi, Stefania, Maria Cristina Verdenelli, Cinzia Cecchini, et al.. (2014). Probiotic-enriched foods and dietary supplement containing SYNBIO positively affects bowel habits in healthy adults: an assessment using standard statistical analysis and Support Vector Machines. International Journal of Food Sciences and Nutrition. 65(8). 994–1002. 9 indexed citations
17.
Pellegrini, Marco, Renato De Leone, & Pierluigi Maponi. (2013). Reducing Power Consuption in Hydrometric Level Sensor Network Using Support Vector Machines. Unicam Scientific Publications (University of Camerino). 229–232. 1 indexed citations
18.
Leone, Renato De, et al.. (2012). Support Vector Machines for Robust Regression.. 96–99. 1 indexed citations
19.
Leone, Renato De, et al.. (2012). Electric Load Forecasting: An experimental Comparison. 100–103. 1 indexed citations
20.
Rim, Minjoong, Rajiv Jain, & Renato De Leone. (1992). Optimal allocation and binding in high-level synthesis. Design Automation Conference. 120–123. 28 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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