Massimo Tisi
- Software top 2%
- Model-Driven Software Engineering Techniques 21
- Software Testing and Debugging Techniques 6
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 10
- Software Engineering Research 4
- Management Information Systems top 10%
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- Software System Performance and Reliability 7
- Artificial Intelligence top 10%
- Advanced Software Engineering Methodologies 8
- Semantic Web and Ontologies 5
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- Scientific Computing and Data Management 5
Massimo Tisi
27 papers receiving 320 citations
Peers
Comparison fields: 5 of 47
- Software 195
- Information Systems 197
- Management Information Systems 55
- Computer Networks and Communications 104
- Artificial Intelligence 122
Countries citing papers authored by Massimo Tisi
This map shows the geographic impact of Massimo Tisi'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 Massimo Tisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Tisi more than expected).
Fields of papers citing papers by Massimo Tisi
This network shows the impact of papers produced by Massimo Tisi. 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 Massimo Tisi. The network helps show where Massimo Tisi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Tisi, 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 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 73 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 26 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 17 | |
| 13 | 2016 | 13 | |
| 14 | 2015 | 49 | |
| 15 | Lazy Evaluation for OCL | 2015 | 6 |
| 16 | Using models of partial knowledge to test model transformations | 2012 | 1 |
| 17 | 2011 | 12 | |
| 18 | Using traceability links and higher-order transformations for easing regression testing of web applications | 2011 | 1 |
| 19 | 2011 | 4 | |
| 20 | Improving Higher-Order Transformations Support in ATL | 2010 | 1 |
About Massimo Tisi
Massimo Tisi is a scholar working on Software, Information Systems, Information Systems and Management, Computer Networks and Communications and Management Information Systems, having authored 31 papers that have together received 343 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (21 papers), Service-Oriented Architecture and Web Services (10 papers), Advanced Software Engineering Methodologies (8 papers), Software System Performance and Reliability (7 papers), Software Testing and Debugging Techniques (6 papers), Semantic Web and Ontologies (5 papers), Scientific Computing and Data Management (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Software (195 citations), Information Systems (197 citations), Management Information Systems (55 citations), Computer Networks and Communications (104 citations) and Artificial Intelligence (122 citations). Massimo Tisi has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Jordi Cabot, Piero Fraternali, Alfonso Pierantonio, Juan de Lara, Manuel Wimmer, Dimitrios S. Kolovos, Davide Di Ruscio, Soichiro Hidaka, Zhenjiang Hu and Salvador Martínez. Their work appears in journals such as Software & Systems Modeling, Science of Computer Programming, IEEE Internet of Things Journal, IEEE Software and Journal of Systems and Software.
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.