Germán Vega
- Software top 10%
- Model-Driven Software Engineering Techniques 5
- Information Systems top 10%
- Service-Oriented Architecture and Web Services 9
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- Advanced Software Engineering Methodologies 7
- Privacy-Preserving Technologies in Data 3
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- Business Process Modeling and Analysis 2
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- Context-Aware Activity Recognition Systems 3
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- Software System Performance and Reliability 3
- IoT and Edge/Fog Computing 2
- Co-authors
- Jacky EstublierPhilippe LalandaFrançois PortetChristian BeckerFelix RothYves LedruJorge VillalobosHéctor Flórez
- Journals
- Pervasive and Mobile Computing (2 papers)Innovations in Systems and Software Engineering (1 paper)INTELIGENCIA ARTIFICIAL (1 paper)
In The Last Decade
Germán Vega
15 papers receiving 91 citations
Peers
Comparison fields: 5 of 30
- Software 25
- Information Systems 59
- Artificial Intelligence 60
- Management Information Systems 13
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Germán Vega
This map shows the geographic impact of Germán Vega'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 Germán Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Vega more than expected).
Fields of papers citing papers by Germán Vega
This network shows the impact of papers produced by Germán Vega. 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 Germán Vega. The network helps show where Germán Vega may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Germán Vega, 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 | 2022 | 16 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 3 | |
| 6 | 2018 | 11 | |
| 7 | 2012 | 4 | |
| 8 | Relationships for Domain Reuse and Composition | 2008 | 2 |
| 9 | 2008 | 1 | |
| 10 | 2008 | 4 | |
| 11 | 2007 | 3 | |
| 12 | 2007 | 6 | |
| 13 | A Domain Composition Approach | 2005 | 4 |
| 14 | 2005 | 5 | |
| 15 | 2005 | 0 | |
| 16 | 2005 | 33 |
About Germán Vega
Germán Vega is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 16 papers that have together received 101 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (9 papers), Advanced Software Engineering Methodologies (7 papers), Model-Driven Software Engineering Techniques (5 papers), Software System Performance and Reliability (3 papers), Privacy-Preserving Technologies in Data (3 papers), Context-Aware Activity Recognition Systems (3 papers), IoT and Edge/Fog Computing (2 papers) and Business Process Modeling and Analysis (2 papers). The work is most often cited by research in Software (25 citations), Information Systems (59 citations) and Artificial Intelligence (60 citations). Germán Vega has collaborated with scholars based in France, Germany and Colombia. Frequent co-authors include Jacky Estublier, Philippe Lalanda, François Portet, Christian Becker, Felix Roth, Yves Ledru, Jorge Villalobos, Héctor Flórez, Humberto Cervantes and Yannis Dimitriadis. Their work appears in journals such as Pervasive and Mobile Computing, Innovations in Systems and Software Engineering and INTELIGENCIA ARTIFICIAL.
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.