Davide Di Ruscio
- Software top 0.5%
- Model-Driven Software Engineering Techniques 82
- Information Systems top 0.5%
- Service-Oriented Architecture and Web Services 49
- Software Engineering Research 46
- Web Data Mining and Analysis 12
- Artificial Intelligence top 1%
- Advanced Software Engineering Methodologies 49
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- Business Process Modeling and Analysis 18
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- Software System Performance and Reliability 30
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- Scientific Computing and Data Management 14
- Co-authors
- Alfonso PierantonioJuri Di RoccoPhuong T. NguyenLudovico IovinoClaudio Di SipioAntonio CicchettiIvano MalavoltaPatrizio Pelliccione
- Journals
- Expert Systems with Applications (2 papers)IEEE Access (3 papers)IEEE Transactions on Software Engineering (4 papers)
- Partner nations
- ItalyNetherlandsSweden
In The Last Decade
Davide Di Ruscio
145 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 110
- Software 1.0k
- Information Systems 1.3k
- Artificial Intelligence 976
- Management Information Systems 266
- Computer Networks and Communications 509
Countries citing papers authored by Davide Di Ruscio
This map shows the geographic impact of Davide Di Ruscio'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 Davide Di Ruscio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Di Ruscio more than expected).
Fields of papers citing papers by Davide Di Ruscio
This network shows the impact of papers produced by Davide Di Ruscio. 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 Davide Di Ruscio. The network helps show where Davide Di Ruscio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Davide Di Ruscio, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 13 | |
| 14 | Knowledge-aware Recommender System for Software Development. | 2018 | 1 |
| 15 | [Journal First] Collaborative Model-Driven Software Engineering: A Classification Framework and a Research Map [Extended Abstract] | 2018 | 1 |
| 16 | 2018 | 13 | |
| 17 | Proceedings of the 9th International Workshop on Modelling in Software Engineering | 2017 | 2 |
| 18 | 2017 | 65 | |
| 19 | 2015 | 5 | |
| 20 | 2012 | 1 |
About Davide Di Ruscio
Davide Di Ruscio is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 157 papers that have together received 2.1k indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (82 papers), Advanced Software Engineering Methodologies (49 papers), Service-Oriented Architecture and Web Services (49 papers), Software Engineering Research (46 papers), Software System Performance and Reliability (30 papers), Business Process Modeling and Analysis (18 papers), Scientific Computing and Data Management (14 papers) and Web Data Mining and Analysis (12 papers). The work is most often cited by research in Software (1.0k citations), Information Systems (1.3k citations) and Artificial Intelligence (976 citations). Davide Di Ruscio has collaborated with scholars based in Italy, Netherlands and Sweden. Frequent co-authors include Alfonso Pierantonio, Juri Di Rocco, Phuong T. Nguyen, Ludovico Iovino, Claudio Di Sipio, Antonio Cicchetti, Ivano Malavolta, Patrizio Pelliccione, Dimitrios S. Kolovos and Romina Eramo. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Software Engineering.
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.