Giulia Zarpellon

473 total citations
5 papers, 212 citations indexed

About

Giulia Zarpellon is a scholar working on Numerical Analysis, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Giulia Zarpellon has authored 5 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Numerical Analysis, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Giulia Zarpellon's work include Advanced Optimization Algorithms Research (3 papers), Geophysics and Gravity Measurements (1 paper) and Modular Robots and Swarm Intelligence (1 paper). Giulia Zarpellon is often cited by papers focused on Advanced Optimization Algorithms Research (3 papers), Geophysics and Gravity Measurements (1 paper) and Modular Robots and Swarm Intelligence (1 paper). Giulia Zarpellon collaborates with scholars based in Canada, United States and Italy. Giulia Zarpellon's co-authors include Andrea Lodi, Rafael Mestre, Marco De Corato, Samuel Sánchez, Maria Guix, Tania Patiño and Pierre Bonami and has published in prestigious journals such as Operations Research, Science Robotics and Top.

In The Last Decade

Giulia Zarpellon

4 papers receiving 204 citations

Peers

Giulia Zarpellon
Jiali Wang China
Han Kiliççöte United States
Yuping Qiu China
Maolan Zhang United States
Minghao Li China
Muhanad Alkilabi Iraq
Rohit Sharma India
Xiaopan Chen China
Ho‐Hyun Park South Korea
Rajiv Verma India
Jiali Wang China
Giulia Zarpellon
Citations per year, relative to Giulia Zarpellon Giulia Zarpellon (= 1×) peers Jiali Wang

Countries citing papers authored by Giulia Zarpellon

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Zarpellon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Zarpellon

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

All Works

5 of 5 papers shown
1.
Zarpellon, Giulia, et al.. (2023). Pyafscgap.org: Open source multi-modal Python-basedtools for NOAA AFSC RACE GAP. The Journal of Open Source Software. 8(86). 5593–5593.
2.
Bonami, Pierre, Andrea Lodi, & Giulia Zarpellon. (2022). A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX. Operations Research. 70(6). 3303–3320. 19 indexed citations
3.
Guix, Maria, Rafael Mestre, Tania Patiño, et al.. (2021). Biohybrid soft robots with self-stimulating skeletons. Science Robotics. 6(53). 103 indexed citations
4.
Zarpellon, Giulia. (2020). Machine learning algorithms in Mixed-Integer Programming. PolyPublie (École Polytechnique de Montréal). 1 indexed citations
5.
Lodi, Andrea & Giulia Zarpellon. (2017). On learning and branching: a survey. Top. 25(2). 207–236. 89 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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2026