Marcello Urgo

97 total papers · 1.4k total citations
68 papers, 906 citations indexed

About

Marcello Urgo is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Science and Operations Research. According to data from OpenAlex, Marcello Urgo has authored 68 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Industrial and Manufacturing Engineering, 21 papers in Management of Technology and Innovation and 11 papers in Management Science and Operations Research. Recurrent topics in Marcello Urgo's work include Manufacturing Process and Optimization (31 papers), Scheduling and Optimization Algorithms (26 papers) and Flexible and Reconfigurable Manufacturing Systems (25 papers). Marcello Urgo is often cited by papers focused on Manufacturing Process and Optimization (31 papers), Scheduling and Optimization Algorithms (26 papers) and Flexible and Reconfigurable Manufacturing Systems (25 papers). Marcello Urgo collaborates with scholars based in Italy, Hungary and Germany. Marcello Urgo's co-authors include Tullio Tolio, Walter Terkaj, Arianna Alfieri, József Váncza, Marcello Colledani, Marco Sacco, Hermes Giberti, Giorgio Colombo, Dávid Gyulai and Giacomo Copani and has published in prestigious journals such as International Journal of Production Research, CIRP Annals and Omega.

In The Last Decade

Marcello Urgo

62 papers receiving 841 citations

Author Peers

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

Author						Papers	Cites
Marcello Urgo	687	146	121	115	57	68	906
Rong-Kwei Li	598 0.9×	85 0.6×	139 1.1×	245 2.1×	86 1.5×	50	872
Hamid R. Parsaei	319 0.5×	92 0.6×	83 0.7×	106 0.9×	88 1.5×	87	835
Petr Skobelev	382 0.6×	98 0.7×	85 0.7×	69 0.6×	34 0.6×	85	849
Xudong Chai	445 0.6×	123 0.8×	153 1.3×	92 0.8×	63 1.1×	90	876
André Thomas	520 0.8×	82 0.6×	202 1.7×	79 0.7×	34 0.6×	79	896
Tamás Kis	790 1.1×	59 0.4×	89 0.7×	213 1.9×	25 0.4×	78	988
Marko Mladineo	510 0.7×	103 0.7×	133 1.1×	49 0.4×	58 1.0×	52	779
Jochen Deuse	675 1.0×	87 0.6×	194 1.6×	72 0.6×	91 1.6×	133	1.0k
Colin L. Moodie	845 1.2×	97 0.7×	136 1.1×	133 1.2×	29 0.5×	61	1.0k
Michael Abramovici	456 0.7×	216 1.5×	90 0.7×	38 0.3×	77 1.4×	54	995

Countries citing papers authored by Marcello Urgo

Since Specialization

Citations

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

Fields of papers citing papers by Marcello Urgo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Urgo

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