Giulia Pedrielli

2.0k total citations
107 papers, 1.1k citations indexed

About

Giulia Pedrielli is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Giulia Pedrielli has authored 107 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Management Science and Operations Research, 32 papers in Computational Theory and Mathematics and 30 papers in Industrial and Manufacturing Engineering. Recurrent topics in Giulia Pedrielli's work include Simulation Techniques and Applications (37 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Scheduling and Optimization Algorithms (14 papers). Giulia Pedrielli is often cited by papers focused on Simulation Techniques and Applications (37 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Scheduling and Optimization Algorithms (14 papers). Giulia Pedrielli collaborates with scholars based in United States, Singapore and Italy. Giulia Pedrielli's co-authors include Szu Hui Ng, Loo Hay Lee, Teresa Wu, Fabio Facchinetti, Burçin Becerik-Gerber, Zheng O’Neill, Jin Wen, Mohamad Awada, Simi Hoque and Andréa Matta and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

Giulia Pedrielli

98 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Pedrielli United States 17 260 176 153 139 131 107 1.1k
Jamal Shahrabi Iran 20 296 1.1× 44 0.3× 352 2.3× 54 0.4× 49 0.4× 54 1.5k
Samaher Al-Janabi Iraq 24 64 0.2× 39 0.2× 161 1.1× 28 0.2× 68 0.5× 50 1.6k
María Teresinha Arns Steiner Brazil 14 181 0.7× 90 0.5× 90 0.6× 53 0.4× 37 0.3× 93 747
Mohammad T. Khasawneh United States 20 173 0.7× 46 0.3× 154 1.0× 160 1.2× 38 0.3× 117 1.4k
Bing Guo China 21 34 0.1× 67 0.4× 44 0.3× 41 0.3× 33 0.3× 146 1.5k
Victoria C. P. Chen United States 23 158 0.6× 62 0.4× 339 2.2× 66 0.5× 312 2.4× 87 1.6k
Ali Ala China 17 203 0.8× 46 0.3× 160 1.0× 132 0.9× 55 0.4× 44 958
Ralph Bergmann Germany 21 155 0.6× 36 0.2× 100 0.7× 257 1.8× 62 0.5× 129 1.6k
Carolyn Morgan Israel 6 236 0.9× 71 0.4× 383 2.5× 178 1.3× 70 0.5× 7 1.3k
Indrajit Mukherjee India 14 270 1.0× 20 0.1× 144 0.9× 50 0.4× 97 0.7× 75 1.1k

Countries citing papers authored by Giulia Pedrielli

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Pedrielli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Pedrielli

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Pedrielli. A scholar is included among the top collaborators of Giulia Pedrielli 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 Giulia Pedrielli. Giulia Pedrielli 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.
Ng, Szu Hui, et al.. (2025). A model aggregation approach for high-dimensional large-scale optimization. European Journal of Operational Research. 329(3). 890–907. 1 indexed citations
2.
Pedrielli, Giulia, et al.. (2024). Predicting RNA sequence-structure likelihood via structure-aware deep learning. BMC Bioinformatics. 25(1). 316–316. 3 indexed citations
3.
Donnici, Giampiero, et al.. (2020). Ides (Industrial design structure) and stylistic design engineering (sde) applied to the mobility of the future. 2042–2060. 2 indexed citations
4.
Matta, Andréa, et al.. (2018). Simulation-based benders cuts: a new cutting approach to approximately solve simulation-optimization problems. Winter Simulation Conference. 2225–2236.
5.
Pedrielli, Giulia, et al.. (2018). Stochastic optimization for feasibility determination: an application to water pump operation in water distribution network. Winter Simulation Conference. 1945–1956. 3 indexed citations
6.
Pedrielli, Giulia, et al.. (2018). Continuous simulation optimization with model mismatch using gaussian process regression. Winter Simulation Conference. 2131–2142.
7.
Pedrielli, Giulia, et al.. (2017). Trust region based stochastic optimization with adaptive restart: a family of global optimization algorithms. Winter Simulation Conference. 2104–2115. 1 indexed citations
8.
Pedrielli, Giulia, et al.. (2017). A framework for real-time monitoring of energy efficiency of marine vessels. Energy. 145. 246–260. 26 indexed citations
9.
Pedrielli, Giulia, et al.. (2016). Empirical analysis of the performance of variance estimators in sequential single-run ranking & selection: the case of time dilation algorithm. Winter Simulation Conference. 738–748. 4 indexed citations
10.
Matta, Andréa, et al.. (2016). Discrete event optimization: workstation and buffer allocation problem in manufacturing flow lines. Winter Simulation Conference. 2879–2890. 11 indexed citations
11.
Pedrielli, Giulia, et al.. (2016). Hybrid order picking strategies for fashion e-commerce warehouse systems. Winter Simulation Conference. 2250–2261. 4 indexed citations
12.
Pedrielli, Giulia & Szu Hui Ng. (2016). G-STAR: a new kriging-based trust region method for global optimization. Winter Simulation Conference. 803–814. 5 indexed citations
13.
Lee, Loo Hay, et al.. (2016). Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions. Winter Simulation Conference. 1916–1925. 5 indexed citations
14.
Pedrielli, Giulia & Szu Hui Ng. (2015). Kriging-based simulation-optimization: a stochastic recursion perspective. Winter Simulation Conference. 3834–3845. 3 indexed citations
15.
Li, Haobin, et al.. (2015). Multi-objective multi-fidelity optimization with ordinal transformation and optimal sampling. Winter Simulation Conference. 3737–3748. 3 indexed citations
16.
Pedrielli, Giulia, Andréa Matta, & Arianna Alfieri. (2015). Discrete event optimization: single--run integrated simulation--optimization using mathematical programming. Winter Simulation Conference. 3557–3568. 4 indexed citations
17.
Matta, Andréa, Giulia Pedrielli, & Arianna Alfieri. (2014). Event relationship graph lite: event based modeling for simulation-optimization of control policies in discrete event systems. Winter Simulation Conference. 3983–3994. 6 indexed citations
18.
Chen, Xingyi, Giulia Pedrielli, & Szu Hui Ng. (2014). SNAT: simulation-based search for navigation safety. The case of Singapore strait. Winter Simulation Conference. 1819–1830. 1 indexed citations
19.
Dante, Giulia, et al.. (2012). Herb remedies during pregnancy: a systematic review of controlled clinical trials. The Journal of Maternal-Fetal & Neonatal Medicine. 26(3). 306–312. 42 indexed citations
20.
Facchinetti, Fabio, Giulia Pedrielli, G. Benoni, et al.. (2012). Herbal supplements in pregnancy: unexpected results from a multicentre study. Human Reproduction. 27(11). 3161–3167. 49 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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