Luca Cernuzzi
Impact in
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- Aging and Gerontology Research
- Software top 10%
- Model-Driven Software Engineering Techniques
Papers in
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- Service-Oriented Architecture and Web Services 16
- Web Applications and Data Management 12
- Mobile and Web Applications 7
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- Multi-Agent Systems and Negotiation 10
- Advanced Software Engineering Methodologies 6
- Co-authors
- Franco Zambonelli (9 shared papers)Fabio Casati (10 shared papers)Marcos Báez (4 shared papers)Francisco Ibarra (2 shared papers)Massimo Cossentino (1 shared paper)Jorge Saldivar (7 shared papers)Óscar Pastor (4 shared papers)Juan Pane (1 shared paper)
In The Last Decade
Luca Cernuzzi
64 papers receiving 442 citations
Peers
Comparison fields: 5 of 104
- Neuropsychology and Physiological Psychology 34
- Software 35
- Human-Computer Interaction 45
- Health 63
- Management Information Systems 59
Countries citing papers authored by Luca Cernuzzi
This map shows the geographic impact of Luca Cernuzzi'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 Luca Cernuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Cernuzzi more than expected).
Fields of papers citing papers by Luca Cernuzzi
This network shows the impact of papers produced by Luca Cernuzzi. 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 Luca Cernuzzi. The network helps show where Luca Cernuzzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Cernuzzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 100 | |
| 2 | 2005 | 48 | |
| 3 | 2021 | 31 | |
| 4 | 2018 | 31 | |
| 5 | The Gaia methodology: basic concepts and extensions | 2004 | 21 |
| 6 | 2019 | 17 | |
| 7 | 2001 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2016 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2014 | 11 | |
| 13 | 2004 | 9 | |
| 14 | 2011 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2011 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2016 | 6 |
About Luca Cernuzzi
Luca Cernuzzi is a scholar working on Information Systems, Artificial Intelligence, Management Information Systems, Software and Communication, having authored 71 papers that have together received 465 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (16 papers), Web Applications and Data Management (12 papers), Multi-Agent Systems and Negotiation (10 papers), Business Process Modeling and Analysis (9 papers), Mobile and Web Applications (7 papers), Model-Driven Software Engineering Techniques (7 papers), Advanced Software Engineering Methodologies (6 papers) and Open Source Software Innovations (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (34 citations), Software (35 citations), Human-Computer Interaction (45 citations), Health (63 citations) and Management Information Systems (59 citations). Luca Cernuzzi has collaborated with scholars based in Paraguay, Italy and Spain. Frequent co-authors include Franco Zambonelli, Fabio Casati, Marcos Báez, Francisco Ibarra, Massimo Cossentino, Jorge Saldivar, Óscar Pastor, Juan Pane, Jaime Sánchez and Diego Galeano. Their work appears in journals such as IEEE Internet Computing, Science of Computer Programming, Journal of Systems and Software, American Behavioral Scientist and International Review of Psychiatry.
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.