Veronica Piccialli

2.1k total citations
53 papers, 1.4k citations indexed

About

Veronica Piccialli is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Veronica Piccialli has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Numerical Analysis, 13 papers in Computational Theory and Mathematics and 11 papers in Computational Mechanics. Recurrent topics in Veronica Piccialli's work include Advanced Optimization Algorithms Research (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Optimization and Variational Analysis (7 papers). Veronica Piccialli is often cited by papers focused on Advanced Optimization Algorithms Research (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Optimization and Variational Analysis (7 papers). Veronica Piccialli collaborates with scholars based in Italy, France and Austria. Veronica Piccialli's co-authors include Francisco Facchinei, Andreas Fischer, Stefano Lucidi, Marco Sciandrone, Giampaolo Liuzzi, Bernardetta Addis, Christophe Castel, Vittoria de Nitto Personé, Valerio Di Valerio and Valeria Cardellini and has published in prestigious journals such as European Journal of Operational Research, Journal of Membrane Science and Expert Systems with Applications.

In The Last Decade

Veronica Piccialli

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veronica Piccialli Italy 21 434 331 256 247 237 53 1.4k
Juan Pablo Vielma United States 18 287 0.7× 342 1.0× 87 0.3× 260 1.1× 144 0.6× 44 1.4k
Pierre Bonami France 16 434 1.0× 520 1.6× 118 0.5× 241 1.0× 102 0.4× 34 1.5k
Michael M. Kostreva United States 17 409 0.9× 310 0.9× 77 0.3× 66 0.3× 54 0.2× 75 1.0k
Musa Mammadov Australia 18 176 0.4× 141 0.4× 75 0.3× 64 0.3× 263 1.1× 77 909
Stefan Ruzika Germany 17 427 1.0× 144 0.4× 136 0.5× 93 0.4× 141 0.6× 65 1.0k
Pietro Belotti United States 15 362 0.8× 360 1.1× 213 0.8× 324 1.3× 103 0.4× 40 1.3k
A. Ravindran United States 19 267 0.6× 219 0.7× 87 0.3× 104 0.4× 102 0.4× 47 1.3k
Maryam Kamgarpour Switzerland 24 239 0.6× 43 0.1× 253 1.0× 610 2.5× 208 0.9× 103 1.7k
A. Ismael F. Vaz Portugal 17 392 0.9× 252 0.8× 32 0.1× 364 1.5× 213 0.9× 41 1.3k
Mahdi Azizi Iran 21 596 1.4× 36 0.1× 154 0.6× 250 1.0× 1.0k 4.2× 41 1.9k

Countries citing papers authored by Veronica Piccialli

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Piccialli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Piccialli

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica Piccialli. A scholar is included among the top collaborators of Veronica Piccialli 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 Veronica Piccialli. Veronica Piccialli 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.
Oriolo, Gianpaolo, et al.. (2024). Courier assignment in meal delivery via integer programming: A case study in Rome. Omega. 133. 103237–103237. 1 indexed citations
2.
Piccialli, Veronica, et al.. (2023). Supervised feature compression based on counterfactual analysis. European Journal of Operational Research. 317(2). 273–285. 1 indexed citations
3.
Addis, Bernardetta, et al.. (2023). Data augmentation driven by optimization for membrane separation process synthesis. Computers & Chemical Engineering. 177. 108342–108342. 7 indexed citations
4.
Piccialli, Veronica, et al.. (2023). Global optimization for cardinality-constrained minimum sum-of-squares clustering via semidefinite programming. Mathematical Programming. 211(1-2). 245–279. 2 indexed citations
5.
Liuzzi, Giampaolo, et al.. (2021). Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems. IRIS Research product catalog (Sapienza University of Rome). 7 indexed citations
6.
Bianchi, Luigi, et al.. (2021). Improving P300 Speller performance by means of optimization and machine learning. Cineca Institutional Research Information System (Tor Vergata University). 9 indexed citations
7.
Bianchi, Luigi, et al.. (2019). Group study via collaborative BCI. IRIS Research product catalog (Sapienza University of Rome). 272–276. 4 indexed citations
8.
Bianchi, Luigi, et al.. (2019). A New Early Stopping Method for P300 Spellers. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(8). 1635–1643. 8 indexed citations
9.
Oriolo, Gianpaolo, et al.. (2019). Single courier single restaurant meal delivery (without routing). Operations Research Letters. 47(6). 537–541. 20 indexed citations
10.
Burer, Samuel & Veronica Piccialli. (2018). Three methods for robust grading. European Journal of Operational Research. 272(1). 364–371. 2 indexed citations
11.
Piccialli, Veronica, et al.. (2018). Scheduling the Italian National Volleyball Tournament. INFORMS Journal on Applied Analytics. 48(3). 271–284. 12 indexed citations
12.
Mannino, Carlo, et al.. (2017). Optimal design of a regional railway service in Italy. Journal of Rail Transport Planning & Management. 7(4). 308–319. 3 indexed citations
13.
Pillo, Gianni Di, Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli, & Francesco Rinaldi. (2016). A DIRECT-type approach for derivative-free constrained global optimization. Computational Optimization and Applications. 65(2). 361–397. 19 indexed citations
14.
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.
15.
Cardellini, Valeria, Vittoria de Nitto Personé, Valerio Di Valerio, et al.. (2015). A game-theoretic approach to computation offloading in mobile cloud computing. Mathematical Programming. 157(2). 421–449. 152 indexed citations
16.
Grippo, Luigi, Laura Palagi, & Veronica Piccialli. (2008). Necessary and sufficient global optimality conditions for NLP reformulations of linear SDP problems. Journal of Global Optimization. 44(3). 339–348. 4 indexed citations
17.
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
18.
Facchinei, Francisco, Andreas Fischer, & Veronica Piccialli. (2007). Generalized Nash equilibrium problems and Newton methods. Mathematical Programming. 117(1-2). 163–194. 97 indexed citations
19.
Lucidi, Stefano, Veronica Piccialli, & Marco Sciandrone. (2005). An Algorithm Model for Mixed Variable Programming. SIAM Journal on Optimization. 15(4). 1057–1084. 36 indexed citations
20.
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

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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