Irene Garrigós
- Software top 10%
- Model-Driven Software Engineering Techniques 6
- Information Systems top 5%
- Web Applications and Data Management 17
- Service-Oriented Architecture and Web Services 14
- Web Data Mining and Analysis 8
- Mobile and Web Applications 7
- Management Information Systems top 10%
- Big Data and Business Intelligence 7
- Computer Science Applications top 10%
- E-Learning and Knowledge Management 8
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- Advanced Database Systems and Queries 8
Irene Garrigós
40 papers receiving 262 citations
Peers
Comparison fields: 5 of 51
- Software 38
- Information Systems 193
- Management Information Systems 47
- Computer Science Applications 25
- Human Factors and Ergonomics 7
Countries citing papers authored by Irene Garrigós
This map shows the geographic impact of Irene Garrigós'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 Irene Garrigós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Garrigós more than expected).
Fields of papers citing papers by Irene Garrigós
This network shows the impact of papers produced by Irene Garrigós. 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 Irene Garrigós. The network helps show where Irene Garrigós may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Irene Garrigós, 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 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 3 | |
| 6 | 2018 | 17 | |
| 7 | 2016 | 6 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2016 | 1 | |
| 11 | 2012 | 8 | |
| 12 | 2012 | 10 | |
| 13 | An i*-based approach for modeling and testing web requirements | 2010 | 3 |
| 14 | La Influencia de las redes sociales en el aprendizaje colaborativo | 2010 | 20 |
| 15 | Las redes sociales como apoyo a la docencia presencial y no presencial | 2010 | 1 |
| 16 | Una Aplicación basada en Eclipse para la Personalización de Aplicaciones Web Dirigida por Modelos. | 2009 | 1 |
| 17 | MDWEnet: A Practical Approach to Achieving Interoperability of Model-Driven Web Engineering Methods | 2007 | 16 |
| 18 | Modeling user behaviour aware websites with PRML | 2006 | 5 |
| 19 | Modelling adaptive web applications | 2003 | 1 |
| 20 | Personalización de aplicaciones en OO-H | 2002 | 0 |
About Irene Garrigós
Irene Garrigós is a scholar working on Software, Computer Science Applications and Information Systems, having authored 47 papers that have together received 295 indexed citations. Recurring topics across this work include Web Applications and Data Management (17 papers), Service-Oriented Architecture and Web Services (14 papers), Advanced Database Systems and Queries (8 papers), Web Data Mining and Analysis (8 papers), E-Learning and Knowledge Management (8 papers), Big Data and Business Intelligence (7 papers), Mobile and Web Applications (7 papers) and Model-Driven Software Engineering Techniques (6 papers). The work is most often cited by research in Software (38 citations), Information Systems (193 citations) and Management Information Systems (47 citations). Irene Garrigós has collaborated with scholars based in Spain, Italy and Argentina. Frequent co-authors include José-Norberto Mazón, Juan Trujillo, José Zubcoff, Sven Casteleyn, Jaime Gómez, Gustavo Rossi, Manuel Wimmer, Florian Daniel, Estela Saquete and Geert‐Jan Houben. Their work appears in journals such as IEEE Access, Decision Support Systems and Information and Software Technology.
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.