Luisa Massari
Impact in
- Information Systems top 5%
- Cloud Computing and Resource Management
- Spam and Phishing Detection
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- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
Papers in
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- Distributed and Parallel Computing Systems 6
- Caching and Content Delivery 5
- Advanced Data Storage Technologies 3
- Software System Performance and Reliability 2
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- Cloud Computing and Resource Management 8
- Spam and Phishing Detection 2
- Co-authors
- Maria Carla Calzarossa (18 shared papers)Daniele Tessera (12 shared papers)Marco L. Della Vedova (3 shared papers)Derek Doran (3 shared papers)Junjie Zhang (1 shared paper)Belén G. Bermejo (1 shared paper)
- Journals
- IEEE Access (3 papers)Information Systems Frontiers (1 paper)ACM Computing Surveys (1 paper)Parallel Computing (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Luisa Massari
19 papers receiving 260 citations
Peers
Comparison fields: 5 of 45
- Information Systems 189
- Computer Networks and Communications 157
- Signal Processing 31
- Hardware and Architecture 19
- Artificial Intelligence 63
Countries citing papers authored by Luisa Massari
This map shows the geographic impact of Luisa Massari'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 Luisa Massari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Massari more than expected).
Fields of papers citing papers by Luisa Massari
This network shows the impact of papers produced by Luisa Massari. 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 Luisa Massari. The network helps show where Luisa Massari may publish in the future.
Co-authors
The 6 scholars most cited alongside Luisa Massari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 97 | |
| 2 | 2023 | 68 | |
| 3 | 2009 | 32 | |
| 4 | 2021 | 16 | |
| 5 | 1995 | 13 | |
| 6 | 2020 | 7 | |
| 7 | 2003 | 7 | |
| 8 | 2014 | 6 | |
| 9 | 2013 | 6 | |
| 10 | 2015 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2017 | 2 | |
| 14 | Measurement-based approach to workload characterization | 1994 | 2 |
| 15 | 2019 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2019 | 2 | |
| 18 | What's inside MySpace comments? | 2010 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2002 | 0 |
About Luisa Massari
Luisa Massari is a scholar working on Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics, Hardware and Architecture and Signal Processing, having authored 20 papers that have together received 277 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), Distributed and Parallel Computing Systems (6 papers), Caching and Content Delivery (5 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Data Storage Technologies (3 papers), Complex Network Analysis Techniques (3 papers), Software System Performance and Reliability (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Information Systems (189 citations), Computer Networks and Communications (157 citations), Signal Processing (31 citations), Hardware and Architecture (19 citations) and Artificial Intelligence (63 citations). Luisa Massari has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Maria Carla Calzarossa, Daniele Tessera, Marco L. Della Vedova, Derek Doran, Junjie Zhang and Belén G. Bermejo. Their work appears in journals such as IEEE Access, Information Systems Frontiers, ACM Computing Surveys, Parallel Computing and Social Network Analysis and Mining.
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.