Germán Vega

600 total citations
16 papers, 101 citations indexed

About

Germán Vega is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Germán Vega has authored 16 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in Germán Vega's work include Service-Oriented Architecture and Web Services (9 papers), Advanced Software Engineering Methodologies (7 papers) and Model-Driven Software Engineering Techniques (5 papers). Germán Vega is often cited by papers focused on Service-Oriented Architecture and Web Services (9 papers), Advanced Software Engineering Methodologies (7 papers) and Model-Driven Software Engineering Techniques (5 papers). Germán Vega collaborates with scholars based in France, Germany and Colombia. Germán Vega's co-authors include Jacky Estublier, Philippe Lalanda, François Portet, Christian Becker, Felix Roth, Yves Ledru, Jorge Villalobos, Héctor Flórez, Humberto Cervantes and Yannis Dimitriadis and has published in prestigious journals such as Pervasive and Mobile Computing, Innovations in Systems and Software Engineering and INTELIGENCIA ARTIFICIAL.

In The Last Decade

Germán Vega

15 papers receiving 91 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Germán Vega France 5 60 59 25 21 19 16 101
Henning Heitkötter Germany 5 57 0.9× 99 1.7× 43 1.7× 15 0.7× 10 0.5× 8 121
Mauricio Alférez Luxembourg 7 74 1.2× 74 1.3× 34 1.4× 15 0.7× 6 0.3× 11 125
Milena Guessi Brazil 7 59 1.0× 55 0.9× 18 0.7× 33 1.6× 6 0.3× 15 108
Ed Morris United States 6 35 0.6× 61 1.0× 9 0.4× 41 2.0× 11 0.6× 14 99
Lukas Renggli Switzerland 6 62 1.0× 78 1.3× 27 1.1× 52 2.5× 6 0.3× 16 113
Mohammad Ullah Khan Germany 6 66 1.1× 64 1.1× 19 0.8× 70 3.3× 49 2.6× 14 123
Andreas Seibel Germany 7 61 1.0× 82 1.4× 53 2.1× 37 1.8× 4 0.2× 17 128
Dragan Bojić Serbia 8 61 1.0× 96 1.6× 45 1.8× 45 2.1× 9 0.5× 28 158
Helmut Neukirchen Iceland 7 29 0.5× 84 1.4× 60 2.4× 47 2.2× 9 0.5× 32 136
Gert Florijn Netherlands 5 101 1.7× 102 1.7× 34 1.4× 22 1.0× 2 0.1× 7 119

Countries citing papers authored by Germán Vega

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Germán Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Germán Vega. A scholar is included among the top collaborators of Germán Vega based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Germán Vega. Germán Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Portet, François, et al.. (2022). Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones. Pervasive and Mobile Computing. 87. 101714–101714. 16 indexed citations
2.
Portet, François, et al.. (2022). Federated Learning and catastrophic forgetting in pervasive computing: demonstration in HAR domain. arXiv (Cornell University). 310–315. 3 indexed citations
3.
4.
Lalanda, Philippe, et al.. (2021). Architecture and pervasive platform for machine learning services in Industry 4.0. 4 indexed citations
5.
Ledru, Yves, et al.. (2020). Alliance of model-driven engineering with a proof-based formal approach. Innovations in Systems and Software Engineering. 16(3-4). 289–307. 3 indexed citations
6.
Roth, Felix, Christian Becker, Germán Vega, & Philippe Lalanda. (2018). XWARE—A customizable interoperability framework for pervasive computing systems. Pervasive and Mobile Computing. 47. 13–30. 11 indexed citations
7.
Flórez, Héctor, et al.. (2012). Coevolution assistance for enterprise architecture models. 27–32. 4 indexed citations
8.
Estublier, Jacky, et al.. (2008). Relationships for Domain Reuse and Composition. 2 indexed citations
9.
Estublier, Jacky, et al.. (2008). Management of Composites in Software Engineering Environments. 7. 545–552. 1 indexed citations
10.
Estublier, Jacky, et al.. (2008). Domain Specific Engineering Environments. 4199. 553–560. 4 indexed citations
11.
Dimitriadis, Yannis, et al.. (2007). Middleware for CSCL: Software Components Framework and Grid Technology Support. INTELIGENCIA ARTIFICIAL. 8(24). 3 indexed citations
12.
Estublier, Jacky & Germán Vega. (2007). Reconciling software configuration management and product data management. 265–274. 6 indexed citations
13.
Estublier, Jacky, et al.. (2005). A Domain Composition Approach. Software Engineering Research and Practice. 389–395. 4 indexed citations
14.
Estublier, Jacky & Germán Vega. (2005). Reuse and variability in large software applications. ACM SIGSOFT Software Engineering Notes. 30(5). 316–325. 5 indexed citations
15.
Vega, Germán. (2005). boletín de la biblioteca de Menéndez Pelayo y el IV centenario de la aparición del Quijote: un homenaje ineludible. BOLETÍN DE LA BIBLIOTECA DE MENÉNDEZ PELAYO. 81(único). 15–24.
16.
Estublier, Jacky & Germán Vega. (2005). Reuse and variability in large software applications. 316–325. 33 indexed citations

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.

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2026