Sara Casolari
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Genetics
- Signal Processing
- Co-authors
- Michele ColajanniMauro AndreoliniDanilo ArdagnaBarbara PanicucciClaudia CanaliRiccardo LancellottiMirco MarchettiFrancesco Lo Presti
- Topics
- Cloud Computing and Resource Management (11 papers)Software System Performance and Reliability (7 papers)Anomaly Detection Techniques and Applications (7 papers)
In The Last Decade
Sara Casolari
23 papers receiving 309 citations
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 236
- Information Systems 203
- Artificial Intelligence 58
- Genetics 29
- Signal Processing 21
Countries citing papers authored by Sara Casolari
This map shows the geographic impact of Sara Casolari'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 Casolari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Casolari more than expected).
Fields of papers citing papers by Sara Casolari
This network shows the impact of papers produced by Sara Casolari. 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 Casolari. The network helps show where Sara Casolari may publish in the future.
Co-authorship network of co-authors of Sara Casolari
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Casolari. A scholar is included among the top collaborators of Sara Casolari 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 Casolari. Sara Casolari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | A hierarchical architecture for on-line control of private cloud-based systems | 2 |
| 6 | 4 | |
| 7 | 12 | |
| 8 | Separating internal and external fluctuation in distributed web-based services | 1 |
| 9 | Dynamic load management of virtual machines in a cloud architectures | 1 |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 36 | |
| 15 | 17 | |
| 16 | 44 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 44 |
About Sara Casolari
Sara Casolari is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 24 papers that have together received 329 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Software System Performance and Reliability (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Networks and Communications (236 citations), Information Systems (203 citations) and Hardware and Architecture (19 citations). Sara Casolari has collaborated with scholars based in Italy, Mexico and Spain. Frequent co-authors include Michele Colajanni, Mauro Andreolini, Danilo Ardagna, Barbara Panicucci, Claudia Canali, Riccardo Lancellotti, Mirco Marchetti, Francesco Lo Presti, Fabio Pierazzi and María José Morilla. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Decision Support Systems and Computer Networks.
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.