Marcella Corduas
- Economics and Econometrics top 10%
- Tourism, Leisure and Hospitality Management top 2%
- Food Science top 10%
- Plant Science
- Signal Processing top 10%
- Co-authors
- Domenico PiccoloLuciano CinquantaTeresa Del GiudiceGianni CiciaSalvatore AttardoLucy PickeringMaria IannarioGiancarlo Ragozini
- Topics
- Complex Systems and Time Series Analysis (6 papers)Wine Industry and Tourism (5 papers)Humor Studies and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of HydrologySustainability
- Partner nations
- ItalyUnited States
In The Last Decade
Marcella Corduas
23 papers receiving 376 citations
Peers
Comparison fields: 5 of 88
- Economics and Econometrics 114
- Tourism, Leisure and Hospitality Management 102
- Food Science 102
- Plant Science 100
- Signal Processing 92
Countries citing papers authored by Marcella Corduas
This map shows the geographic impact of Marcella Corduas'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 Marcella Corduas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcella Corduas more than expected).
Fields of papers citing papers by Marcella Corduas
This network shows the impact of papers produced by Marcella Corduas. 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 Marcella Corduas. The network helps show where Marcella Corduas may publish in the future.
Co-authorship network of co-authors of Marcella Corduas
This figure shows the co-authorship network connecting the top 25 collaborators of Marcella Corduas. A scholar is included among the top collaborators of Marcella Corduas 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 Marcella Corduas. Marcella Corduas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | Modelling correlated ordinal data by a copula approach | 1 |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 98 | |
| 12 | 29 | |
| 13 | 27 | |
| 14 | 24 | |
| 15 | A statistical procedure for clustering ordinal data | 7 |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 2 |
About Marcella Corduas
Marcella Corduas is a scholar working on Tourism, Leisure and Hospitality Management, General Decision Sciences and Statistics and Probability, having authored 28 papers that have together received 407 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (6 papers), Wine Industry and Tourism (5 papers) and Humor Studies and Applications (4 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (102 citations), Signal Processing (92 citations) and Food Science (102 citations). Marcella Corduas has collaborated with scholars based in Italy and United States. Frequent co-authors include Domenico Piccolo, Luciano Cinquanta, Teresa Del Giudice, Gianni Cicia, Salvatore Attardo, Lucy Pickering, Maria Iannario and Giancarlo Ragozini. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Sustainability.
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.