Davide Giglio

123 total papers · 1.0k total citations
83 papers, 760 citations indexed

About

Davide Giglio is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Management Information Systems. According to data from OpenAlex, Davide Giglio has authored 83 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Industrial and Manufacturing Engineering, 28 papers in Computational Theory and Mathematics and 23 papers in Management Information Systems. Recurrent topics in Davide Giglio's work include Petri Nets in System Modeling (27 papers), Scheduling and Optimization Algorithms (22 papers) and Advanced Manufacturing and Logistics Optimization (22 papers). Davide Giglio is often cited by papers focused on Petri Nets in System Modeling (27 papers), Scheduling and Optimization Algorithms (22 papers) and Advanced Manufacturing and Logistics Optimization (22 papers). Davide Giglio collaborates with scholars based in Italy, Iran and Switzerland. Davide Giglio's co-authors include Nicola Sacco, Abdolreza Roshani, Angela Di Febbraro, Massimo Paolucci, R. Minciardi, Flavio Tonelli, Federico Gallo, Simona Sacone, M. Aicardi and A. Boccalatte and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Cleaner Production and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Davide Giglio

77 papers receiving 721 citations

Author Peers

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

Author						Papers	Cites
Davide Giglio	330	293	184	178	128	83	760
Guangmin Wang	87 0.3×	393 1.3×	252 1.4×	192 1.1×	70 0.5×	54	797
Carmen Galé	316 1.0×	393 1.3×	317 1.7×	54 0.3×	96 0.8×	36	826
Eckehard Schnieder	264 0.8×	133 0.5×	174 0.9×	73 0.4×	41 0.3×	133	875
José‐Fernando Camacho‐Vallejo	268 0.8×	195 0.7×	111 0.6×	42 0.2×	83 0.6×	48	667
Markus Sinnl	311 0.9×	104 0.4×	169 0.9×	79 0.4×	30 0.2×	46	795
Ada Álvarez	487 1.5×	86 0.3×	64 0.3×	70 0.4×	94 0.7×	43	727
Xing Zhao	202 0.6×	172 0.6×	32 0.2×	172 1.0×	43 0.3×	37	634
Yongzhong Wu	339 1.0×	94 0.3×	38 0.2×	231 1.3×	107 0.8×	41	880
O. Berman	353 1.1×	63 0.2×	37 0.2×	100 0.6×	209 1.6×	50	855
Lei Wang	54 0.2×	103 0.4×	131 0.7×	129 0.7×	90 0.7×	92	762

Countries citing papers authored by Davide Giglio

Since Specialization

Citations

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

Fields of papers citing papers by Davide Giglio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Giglio

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Giglio. A scholar is included among the top collaborators of Davide Giglio 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 Davide Giglio. Davide Giglio 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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