Jaime Font
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Model-Driven Software Engineering Techniques
- Information Systems top 5%
- Software Engineering Research
- Service-Oriented Architecture and Web Services
- Web Data Mining and Analysis
Papers in
-
- Software Engineering Research 20
- Service-Oriented Architecture and Web Services 5
- Web Data Mining and Analysis 5
-
- Advanced Software Engineering Methodologies 12
- Artificial Intelligence in Games 5
- Co-authors
- Carlos Cetina (33 shared papers)Øystein Haugen (12 shared papers)Óscar Pastor (6 shared papers)Étienne Sicard (1 shared paper)
- Journals
- Journal of Systems and Software (4 papers)Information and Software Technology (3 papers)Software & Systems Modeling (2 papers)ACM Transactions on Software Engineering and Methodology (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- SpainNorwayUnited Kingdom
In The Last Decade
Jaime Font
32 papers receiving 253 citations
Peers
Comparison fields: 5 of 28
- Software 108
- Information Systems 218
- Artificial Intelligence 152
- Information Systems and Management 27
- Computer Science Applications 12
Countries citing papers authored by Jaime Font
This map shows the geographic impact of Jaime Font'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 Jaime Font with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Font more than expected).
Fields of papers citing papers by Jaime Font
This network shows the impact of papers produced by Jaime Font. 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 Jaime Font. The network helps show where Jaime Font may publish in the future.
Co-authors
The 4 scholars most cited alongside Jaime Font, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 29 | |
| 2 | 2016 | 23 | |
| 3 | 2019 | 19 | |
| 4 | 2015 | 19 | |
| 5 | 2015 | 19 | |
| 6 | 2019 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2017 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2018 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 4 | |
| 20 | Model Fragment Reuse Driven by Requirements. | 2017 | 4 |
About Jaime Font
Jaime Font is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Sociology and Political Science, having authored 34 papers that have together received 256 indexed citations. Recurring topics across this work include Software Engineering Research (20 papers), Advanced Software Engineering Methodologies (12 papers), Model-Driven Software Engineering Techniques (10 papers), Software Reliability and Analysis Research (6 papers), Software Testing and Debugging Techniques (6 papers), Artificial Intelligence in Games (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Software (108 citations), Information Systems (218 citations), Artificial Intelligence (152 citations), Information Systems and Management (27 citations) and Computer Science Applications (12 citations). Jaime Font has collaborated with scholars based in Spain, Norway and United Kingdom. Frequent co-authors include Carlos Cetina, Øystein Haugen, Óscar Pastor and Étienne Sicard. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology, Software & Systems Modeling, ACM Transactions on Software Engineering and Methodology and Multimedia Tools and Applications.
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.