Stefano Lucidi

5.5k total citations · 1 hit paper
117 papers, 3.9k citations indexed

About

Stefano Lucidi is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Stefano Lucidi has authored 117 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Numerical Analysis, 78 papers in Computational Theory and Mathematics and 21 papers in Computational Mechanics. Recurrent topics in Stefano Lucidi's work include Advanced Optimization Algorithms Research (78 papers), Optimization and Variational Analysis (39 papers) and Iterative Methods for Nonlinear Equations (21 papers). Stefano Lucidi is often cited by papers focused on Advanced Optimization Algorithms Research (78 papers), Optimization and Variational Analysis (39 papers) and Iterative Methods for Nonlinear Equations (21 papers). Stefano Lucidi collaborates with scholars based in Italy, United States and United Kingdom. Stefano Lucidi's co-authors include Luigi Grippo, F. Lampariello, Giampaolo Liuzzi, Francesco Rinaldi, Marco Sciandrone, Gianni Di Pillo, Massimo Roma, Veronica Piccialli, Laura Palagi and Francisco Facchinei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Industrial Electronics.

In The Last Decade

Stefano Lucidi

111 papers receiving 3.6k 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.

A Nonmonotone Line Search Technique for Newton’s Method

1986 838 citations F. Lampariello, Stefano Lucidi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Lucidi Italy	34	2.3k	2.0k	824	712	678	117	3.9k
L. N. Vicente Portugal	32	1.7k 0.7×	2.0k 1.0×	748 0.9×	1.1k 1.5×	1.0k 1.5×	94	4.6k
Ya-xiang Yuan China	28	2.1k 0.9×	1.5k 0.7×	1.2k 1.4×	597 0.8×	447 0.7×	89	3.8k
Klaus Schittkowski Germany	23	1.7k 0.7×	1.8k 0.9×	651 0.8×	561 0.8×	1.1k 1.7×	55	4.8k
J. Frédéric Bonnans France	26	2.1k 0.9×	2.6k 1.3×	1.0k 1.2×	303 0.4×	995 1.5×	119	4.9k
Michael L. Overton United States	36	2.1k 0.9×	2.4k 1.2×	1.0k 1.3×	350 0.5×	1.1k 1.7×	111	4.9k
Henry Wolkowicz Canada	35	2.5k 1.1×	2.8k 1.4×	1.2k 1.4×	469 0.7×	636 0.9×	126	5.1k
Tamás Terlaky Netherlands	30	2.5k 1.1×	2.4k 1.2×	651 0.8×	269 0.4×	1.0k 1.5×	186	4.4k
Katya Scheinberg United States	26	1.1k 0.5×	1.1k 0.6×	1.0k 1.2×	1.3k 1.8×	443 0.7×	55	3.5k
Christian Kanzow Germany	45	3.8k 1.6×	4.1k 2.0×	729 0.9×	365 0.5×	1.2k 1.8×	135	6.3k
Adrian S. Lewis United States	40	2.3k 1.0×	2.7k 1.4×	1.9k 2.3×	747 1.0×	899 1.3×	132	6.0k

Countries citing papers authored by Stefano Lucidi

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Lucidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Lucidi

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

All Works

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20 of 20 papers shown

Dilaghi, Emanuele, Elisabetta Cesaroni, Michela Silvestri, et al.. (2025). Exploring the potential of artificial intelligence in assessing the risk of gastric neoplastic lesions in patients with corpus atrophic gastritis. Gastric Cancer. 29(1). 159–168.

Liuzzi, Giampaolo, et al.. (2025). An interior point method for nonlinear constrained derivative-free optimization. Optimization methods & software. 40(3). 611–649.

Liuzzi, Giampaolo, et al.. (2024). Worst Case Complexity Bounds for Linesearch-Type Derivative-Free Algorithms. Journal of Optimization Theory and Applications. 203(1). 419–454. 1 indexed citations

Gaudioso, Manlio, Giampaolo Liuzzi, & Stefano Lucidi. (2023). A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization. Optimization Letters. 18(1). 57–71. 1 indexed citations

Santis, Marianna De, et al.. (2023). Machine Learning-Based Classification to Disentangle EEG Responses to TMS and Auditory Input. Brain Sciences. 13(6). 866–866. 11 indexed citations

Pillo, Gianni Di, et al.. (2023). A two-objective optimization of ship itineraries for a cruise company. 4OR. 21(4). 683–709. 2 indexed citations

Petti, Manuela, et al.. (2021). MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene Prediction. Genes. 12(11). 1713–1713. 5 indexed citations

Liuzzi, Giampaolo, Stefano Lucidi, Francesco Rinaldi, & L. N. Vicente. (2019). Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions. SIAM Journal on Optimization. 29(4). 3012–3035. 13 indexed citations

Liuzzi, Giampaolo, Stefano Lucidi, & Veronica Piccialli. (2015). Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization. Computational Optimization and Applications. 65(2). 449–475.

10.

Fasano, Giovanni, Giampaolo Liuzzi, Stefano Lucidi, & Francesco Rinaldi. (2013). A Linesearch-based Derivative-free Approach for Nonsmooth Optimization. ARCA (Università Ca' Foscari Venezia). 1–32. 1 indexed citations

11.

Santis, Marianna De, Stefano Lucidi, & Francesco Rinaldi. (2010). New concave penalty functions for improving the Feasibility Pump. CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton). 2(10). 1 indexed citations

12.

Pillo, Gianni Di, Giampaolo Liuzzi, & Stefano Lucidi. (2010). An exact penalty-Lagrangian approach for large-scale nonlinear programming. Optimization. 60(1-2). 223–252. 7 indexed citations

13.

Lucidi, Stefano, et al.. (2009). A Convergent Hybrid Decomposition Algorithm Model for SVM Training. IEEE Transactions on Neural Networks. 20(6). 1055–1060. 16 indexed citations

14.

Fasano, Giovanni & Stefano Lucidi. (2009). A nonmonotone truncated Newton–Krylov method exploiting negative curvature directions, for large scale unconstrained optimization. Optimization Letters. 3(4). 521–535. 13 indexed citations

15.

Liuzzi, Giampaolo, Stefano Lucidi, & Veronica Piccialli. (2008). A DIRECT-based approach exploiting local minimizations for the solution of large-scale global optimization problems. Computational Optimization and Applications. 45(2). 353–375. 49 indexed citations

16.

Borsini, S., R. Battiston, B. Bertucci, et al.. (2007). The SERMS Laboratory: A Research and Test Facility for Space Payloads and Instrumentation. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations

17.

Pillo, Gianni Di, Stefano Lucidi, & Laura Palagi. (2005). Convergence to Second-Order Stationary Points of a Primal-Dual Algorithm Model for Nonlinear Programming. Mathematics of Operations Research. 30(4). 897–915. 11 indexed citations

18.

Lucidi, Stefano & Veronica Piccialli. (2002). New Classes of Globally Convexized Filled Functions for Global Optimization. Journal of Global Optimization. 24(2). 219–236. 44 indexed citations

19.

Pillo, Gianni Di, et al.. (1997). A New Version of the Price's Algorithm for Global Optimization. Journal of Global Optimization. 10(2). 165–184. 63 indexed citations

20.

Bruni, Carlo, Lucio Capurso, M. Koch, et al.. (1986). Automatic analysis of flow cytometrically determined dna distributions in the presence of abnormal stemlines. Mathematical Modelling. 7(9-12). 1325–1338. 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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