Giada La Scalia
- Industrial and Manufacturing Engineering top 2%
- Food Science top 5%
- Building and Construction top 5%
- Plant Science
- Strategy and Management top 10%
- Co-authors
- Rosa MicaleMario EneaConcetta Manuela La FataLuca SettanniAntonio GiallanzaGiuseppe AielloPier Paolo MigliettaManfredi Saeli
- Topics
- Advanced Manufacturing and Logistics Optimization (13 papers)Food Supply Chain Traceability (6 papers)Occupational Health and Safety Research (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringMedical Laboratory TechnologyBuilding and Construction
- Partner nations
- ItalyPortugalUnited States
In The Last Decade
Giada La Scalia
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Industrial and Manufacturing Engineering 272
- Food Science 240
- Building and Construction 183
- Plant Science 166
- Strategy and Management 132
Countries citing papers authored by Giada La Scalia
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 27 | |
| 6 | 45 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 24 | |
| 13 | 29 | |
| 14 | 18 | |
| 15 | 4 | |
| 16 | 65 | |
| 17 | An integrated approach for modelling and solving multimode job shop scheduling problem using multi objective genetic algorithm | 1 |
| 18 | Biomass power plants in western Sicily, Italy | 0 |
| 19 | 59 | |
| 20 | 35 |
About Giada La Scalia
Giada La Scalia is a scholar working on Nuclear Energy and Engineering, Industrial and Manufacturing Engineering and Medical Laboratory Technology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (13 papers), Food Supply Chain Traceability (6 papers) and Occupational Health and Safety Research (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (272 citations), Medical Laboratory Technology (21 citations) and Building and Construction (183 citations). Giada La Scalia has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Rosa Micale, Mario Enea, Concetta Manuela La Fata, Luca Settanni, Antonio Giallanza, Giuseppe Aiello, Pier Paolo Miglietta, Manfredi Saeli, Onofrio Corona and Francesco Paolo Marra. Their work appears in journals such as Journal of Cleaner Production, Expert Systems with Applications and Waste Management.
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.