Giulia Zarpellon

14 total papers · 466 total citations
5 papers, 208 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 208 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), Micro and Nano Robotics (1 paper) and Advanced Bandit Algorithms Research (1 paper). Giulia Zarpellon is often cited by papers focused on Advanced Optimization Algorithms Research (3 papers), Micro and Nano Robotics (1 paper) and Advanced Bandit Algorithms Research (1 paper). Giulia Zarpellon collaborates with scholars based in United States, Canada and Spain. Giulia Zarpellon's co-authors include Andrea Lodi, Maria Guix, Samuel Sánchez, Marco De Corato, Tania Patiño, Rafael Mestre 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 200 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Giulia Zarpellon	73	50	48	45	44	5	208
Mojmír Mutný	78 1.1×	13 0.3×	36 0.8×	5 0.1×	39 0.9×	12	168
Gangyuan Jing	50 0.7×	47 0.9×	133 2.8×	10 0.2×	94 2.1×	9	279
Taylor A. Howell	79 1.1×	18 0.4×	47 1.0×	8 0.2×	28 0.6×	8	274
Ivica Slavkov	29 0.4×	61 1.2×	91 1.9×	2 0.0×	53 1.2×	9	206
Robert Stuart‐Smith	38 0.5×	18 0.4×	122 2.5×	17 0.4×	7 0.2×	11	203
Valentin Longchamp	21 0.3×	12 0.2×	146 3.0×	4 0.1×	54 1.2×	6	278
Anurag Ajay	33 0.5×	9 0.2×	11 0.2×	5 0.1×	51 1.2×	4	124
Jan Czarnowski	73 1.0×	27 0.5×	35 0.7×	14 0.3×	6 0.1×	5	198
Sylvain Koos	31 0.4×	8 0.2×	66 1.4×	2 0.0×	102 2.3×	3	154
Wenxuan Shi	34 0.5×	2 0.0×	16 0.3×	27 0.6×	85 1.9×	11	261

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

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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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