Mauro Caporuscio
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- Software System Performance and Reliability 15
- Peer-to-Peer Network Technologies 4
- Software top 10%
- Model-Driven Software Engineering Techniques 5
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 20
- Artificial Intelligence top 10%
- Advanced Software Engineering Methodologies 20
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- Context-Aware Activity Recognition Systems 6
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- Business Process Modeling and Analysis 4
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- Modular Robots and Swarm Intelligence 3
- Co-authors
- Valérie IssarnyAlexander L. WolfAntonio CarzanigaPaola InverardiFrancesco FlamminiPierre-Guillaume RaverdyStefania SantiniPatrizio Pelliccione
In The Last Decade
Mauro Caporuscio
43 papers receiving 573 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 398
- Software 48
- Information Systems 212
- Artificial Intelligence 186
- Medical Laboratory Technology 8
Countries citing papers authored by Mauro Caporuscio
This map shows the geographic impact of Mauro Caporuscio'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 Mauro Caporuscio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Caporuscio more than expected).
Fields of papers citing papers by Mauro Caporuscio
This network shows the impact of papers produced by Mauro Caporuscio. 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 Mauro Caporuscio. The network helps show where Mauro Caporuscio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mauro Caporuscio, 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 | 2024 | 1 | |
| 2 | 2023 | 53 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2017 | 11 | |
| 10 | 2016 | 3 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 3 | |
| 13 | 2010 | 47 | |
| 14 | 2009 | 1 | |
| 15 | A Reference Model for Service Oriented Middleware | 2008 | 3 |
| 16 | 2007 | 18 | |
| 17 | 2006 | 22 | |
| 18 | 2005 | 12 | |
| 19 | 2004 | 29 | |
| 20 | 2002 | 12 |
About Mauro Caporuscio
Mauro Caporuscio is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 44 papers that have together received 613 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (20 papers), Advanced Software Engineering Methodologies (20 papers), Software System Performance and Reliability (15 papers), Context-Aware Activity Recognition Systems (6 papers), Model-Driven Software Engineering Techniques (5 papers), Peer-to-Peer Network Technologies (4 papers), Business Process Modeling and Analysis (4 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Computer Networks and Communications (398 citations), Software (48 citations) and Information Systems (212 citations). Mauro Caporuscio has collaborated with scholars based in Italy, Sweden and France. Frequent co-authors include Valérie Issarny, Alexander L. Wolf, Antonio Carzaniga, Paola Inverardi, Francesco Flammini, Pierre-Guillaume Raverdy, Stefania Santini, Patrizio Pelliccione, Antinisca Di Marco and Raffaela Mirandola. Their work appears in journals such as IEEE Access, IEEE Transactions on Software Engineering and Future Generation Computer Systems.
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.