Silvia Angilella
- Management Science and Operations Research top 1%
- Artificial Intelligence top 10%
- Statistics and Probability top 2%
- Control and Systems Engineering top 10%
- Economics and Econometrics top 10%
- Co-authors
- Salvatore GrecoSebastiano MazzùBenedetto MatarazzoSalvatore CorrenteRoman SłowińskiFabio LamantiaIsabella Maria LamiValentina Ferretti
- Topics
- Multi-Criteria Decision Making (13 papers)Optimization and Mathematical Programming (5 papers)Fuzzy Systems and Optimization (4 papers)
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsJournal of the Operational Research Society
- Partner nations
- ItalyUnited KingdomGreece
In The Last Decade
Silvia Angilella
18 papers receiving 635 citations
Peers
Comparison fields: 5 of 78
- Management Science and Operations Research 447
- Artificial Intelligence 167
- Statistics and Probability 140
- Control and Systems Engineering 110
- Economics and Econometrics 110
Countries citing papers authored by Silvia Angilella
This map shows the geographic impact of Silvia Angilella'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 Silvia Angilella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Angilella more than expected).
Fields of papers citing papers by Silvia Angilella
This network shows the impact of papers produced by Silvia Angilella. 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 Silvia Angilella. The network helps show where Silvia Angilella may publish in the future.
Co-authorship network of co-authors of Silvia Angilella
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Angilella. A scholar is included among the top collaborators of Silvia Angilella 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 Silvia Angilella. Silvia Angilella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | 76 | |
| 10 | 117 | |
| 11 | 34 | |
| 12 | 84 | |
| 13 | 49 | |
| 14 | 4 | |
| 15 | Non-additive robust ordinal regression with choquet integral, bipolar and level dependent choquet integrals | 9 |
| 16 | 138 | |
| 17 | 2 | |
| 18 | 81 |
About Silvia Angilella
Silvia Angilella is a scholar working on Management Science and Operations Research, Statistics and Probability and Accounting, having authored 18 papers that have together received 663 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (13 papers), Optimization and Mathematical Programming (5 papers) and Fuzzy Systems and Optimization (4 papers). The work is most often cited by research in Management Science and Operations Research (447 citations), Statistics and Probability (140 citations) and Accounting (85 citations). Silvia Angilella has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Salvatore Greco, Sebastiano Mazzù, Benedetto Matarazzo, Salvatore Corrente, Roman Słowiński, Fabio Lamantia, Isabella Maria Lami, Valentina Ferretti, Marta Bottero and Daniele Morelli. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.
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.