Giada La Scalia

75 total papers · 1.5k total citations
57 papers, 1.1k citations indexed

About

Giada La Scalia is a scholar working on Industrial and Manufacturing Engineering, Food Science and Building and Construction. According to data from OpenAlex, Giada La Scalia has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 11 papers in Food Science and 9 papers in Building and Construction. Recurrent topics in Giada La Scalia's work include Advanced Manufacturing and Logistics Optimization (13 papers), Food Supply Chain Traceability (6 papers) and Occupational Health and Safety Research (5 papers). Giada La Scalia is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (13 papers), Food Supply Chain Traceability (6 papers) and Occupational Health and Safety Research (5 papers). Giada La Scalia collaborates with scholars based in Italy, United States and Portugal. Giada La Scalia's co-authors include Rosa Micale, Mario Enea, Concetta Manuela La Fata, Luca Settanni, Antonio Giallanza, Giuseppe Aiello, Manfredi Saeli, Pier Paolo Miglietta, Onofrio Corona and Francesco Paolo Marra and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Waste Management.

In The Last Decade

Giada La Scalia

55 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Giada La Scalia 267 238 179 166 131 57 1.1k
Mario Enea 441 1.7× 208 0.9× 246 1.4× 39 0.2× 185 1.4× 46 1.4k
Md Aslam Hossain 150 0.6× 51 0.2× 494 2.8× 84 0.5× 52 0.4× 108 1.4k
George Q. Huang 318 1.2× 113 0.5× 39 0.2× 130 0.8× 136 1.0× 48 1.1k
Raffaele Iannone 207 0.8× 100 0.4× 57 0.3× 56 0.3× 179 1.4× 95 1.2k
Fernando Romero 406 1.5× 139 0.6× 107 0.6× 96 0.6× 157 1.2× 71 1.1k
Marko Vasiljević 77 0.3× 111 0.5× 63 0.4× 187 1.1× 238 1.8× 54 1.2k
Stefano Riemma 538 2.0× 107 0.4× 60 0.3× 73 0.4× 231 1.8× 73 1.5k
Luca Silvestri 282 1.1× 36 0.2× 61 0.3× 28 0.2× 189 1.4× 73 1.3k
Dimitrios Aidonis 141 0.5× 184 0.8× 117 0.7× 101 0.6× 453 3.5× 48 1.1k
Ying Lu 54 0.2× 46 0.2× 281 1.6× 110 0.7× 48 0.4× 48 1.1k

Countries citing papers authored by Giada La Scalia

Since Specialization
Citations

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

Fields of papers citing papers by Giada La Scalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giada La Scalia. 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 Giada La Scalia. The network helps show where Giada La Scalia may publish in the future.

Co-authorship network of co-authors of Giada La Scalia

This figure shows the co-authorship network connecting the top 25 collaborators of Giada La Scalia. A scholar is included among the top collaborators of Giada La Scalia 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 Giada La Scalia. Giada La Scalia 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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2026