Sara Migliorini
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Alberto BelussiAhmed EldawyDamiano CarraMauro NegriGiuseppe PelagattiCarlo CombiRoberto PosenatoElisa Quintarelli
- Topics
- Data Management and Algorithms (33 papers)Geographic Information Systems Studies (17 papers)Constraint Satisfaction and Optimization (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Systems Man and Cybernetics SystemsElectronics
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Sara Migliorini
60 papers receiving 342 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 151
- Computer Networks and Communications 147
- Information Systems 118
- Computer Vision and Pattern Recognition 71
- Artificial Intelligence 54
Countries citing papers authored by Sara Migliorini
This map shows the geographic impact of Sara Migliorini'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 Sara Migliorini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Migliorini more than expected).
Fields of papers citing papers by Sara Migliorini
This network shows the impact of papers produced by Sara Migliorini. 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 Sara Migliorini. The network helps show where Sara Migliorini may publish in the future.
Co-authorship network of co-authors of Sara Migliorini
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Migliorini. A scholar is included among the top collaborators of Sara Migliorini 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 Sara Migliorini. Sara Migliorini 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 | 5 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | A Balanced Solution for the Partition-based Spatial Merge Join in MapReduce. | 1 |
| 13 | 4 | |
| 14 | In-memory Caching for Multi-query Optimization of Data-intensive Scalable Computing Workloads. | 6 |
| 15 | 7 | |
| 16 | Design of the Data Transformation Architecture for the INSPIRE Data Model Browser | 1 |
| 17 | Towards the creation of an Archaeological Urban Information System: Data Modeling of the Historical Heritage of Verona | 4 |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 0 |
About Sara Migliorini
Sara Migliorini is a scholar working on Signal Processing, Geography, Planning and Development and Industrial relations, having authored 73 papers that have together received 348 indexed citations. Recurring topics across this work include Data Management and Algorithms (33 papers), Geographic Information Systems Studies (17 papers) and Constraint Satisfaction and Optimization (15 papers). The work is most often cited by research in Signal Processing (151 citations), Geography, Planning and Development (50 citations) and Computer Networks and Communications (147 citations). Sara Migliorini has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Alberto Belussi, Ahmed Eldawy, Damiano Carra, Mauro Negri, Giuseppe Pelagatti, Carlo Combi, Roberto Posenato, Elisa Quintarelli, Fausto Spoto and Arthur H. M. ter Hofstede. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Systems Man and Cybernetics Systems and Electronics.
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.