Sara Casolari

12 papers and 169 indexed citations i.

About

Sara Casolari is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sara Casolari has authored 12 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Sara Casolari’s work include Anomaly Detection Techniques and Applications (6 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Software System Performance and Reliability (4 papers). Sara Casolari is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Software System Performance and Reliability (4 papers). Sara Casolari collaborates with scholars based in Italy, United States and Mexico. Sara Casolari's co-authors include Michele Colajanni, Danilo Ardagna, Barbara Panicucci, Mauro Andreolini, Deanna Guerra, Riccardo Lancellotti, Claudia Canali, María García‐Fernández, Mirco Marchetti and Pedro Valdivielso and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Decision Support Systems and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Sara Casolari i

Fields of papers citing papers by Sara Casolari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sara Casolari

Since Specialization
Citations

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).

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.

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2025