Roberto E. Lopez-Herrejon

2.7k total citations
75 papers, 1.3k citations indexed

About

Roberto E. Lopez-Herrejon is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Roberto E. Lopez-Herrejon has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 60 papers in Information Systems and 31 papers in Software. Recurrent topics in Roberto E. Lopez-Herrejon's work include Advanced Software Engineering Methodologies (65 papers), Software Engineering Research (41 papers) and Service-Oriented Architecture and Web Services (24 papers). Roberto E. Lopez-Herrejon is often cited by papers focused on Advanced Software Engineering Methodologies (65 papers), Software Engineering Research (41 papers) and Service-Oriented Architecture and Web Services (24 papers). Roberto E. Lopez-Herrejon collaborates with scholars based in Austria, Canada and Spain. Roberto E. Lopez-Herrejon's co-authors include Alexander Egyed, Lukas Linsbauer, Stefan Fischer, Lukas Linsbauer, Don Batory, Wesley K. G. Assunção, Sílvia Regina Vergílio, Christian Lengauer, Rudolf Ramler and Javier Ferrer and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, Journal of Systems and Software and Information and Software Technology.

In The Last Decade

Roberto E. Lopez-Herrejon

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto E. Lopez-Herrejon Austria 20 1.0k 999 524 320 68 75 1.3k
Goetz Botterweck Ireland 18 705 0.7× 766 0.8× 293 0.6× 238 0.7× 66 1.0× 78 969
Günter Böckle Germany 5 1.2k 1.1× 1.3k 1.3× 448 0.9× 351 1.1× 55 0.8× 6 1.5k
Jianmei Guo China 18 787 0.8× 713 0.7× 338 0.6× 498 1.6× 27 0.4× 54 1.1k
Jilles van Gurp Netherlands 13 977 1.0× 953 1.0× 283 0.5× 344 1.1× 22 0.3× 25 1.2k
Rebecca Wirfs-Brock United States 11 757 0.7× 685 0.7× 387 0.7× 237 0.7× 46 0.7× 57 1.2k
Kyo C. Kang South Korea 12 1.0k 1.0× 925 0.9× 333 0.6× 297 0.9× 17 0.3× 37 1.3k
Uirá Kulesza Brazil 20 1.5k 1.5× 1.1k 1.1× 600 1.1× 478 1.5× 18 0.3× 125 1.7k
John Mark Ockerbloom United States 7 761 0.7× 788 0.8× 212 0.4× 374 1.2× 15 0.2× 15 1.0k
Reed Little United States 4 660 0.6× 619 0.6× 154 0.3× 322 1.0× 20 0.3× 8 865
Vander Alves Brazil 14 577 0.6× 557 0.6× 179 0.3× 208 0.7× 18 0.3× 45 779

Countries citing papers authored by Roberto E. Lopez-Herrejon

Since Specialization
Citations

This map shows the geographic impact of Roberto E. Lopez-Herrejon'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 Roberto E. Lopez-Herrejon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto E. Lopez-Herrejon more than expected).

Fields of papers citing papers by Roberto E. Lopez-Herrejon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto E. Lopez-Herrejon. 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 Roberto E. Lopez-Herrejon. The network helps show where Roberto E. Lopez-Herrejon may publish in the future.

Co-authorship network of co-authors of Roberto E. Lopez-Herrejon

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto E. Lopez-Herrejon. A scholar is included among the top collaborators of Roberto E. Lopez-Herrejon 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 Roberto E. Lopez-Herrejon. Roberto E. Lopez-Herrejon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Greiner, Sandra, et al.. (2024). 1st International Workshop on Reverse Variability Engineering and Evolution of Software-Intensive Systems (Re:Volution). University of Southern Denmark Research Portal (University of Southern Denmark). 225–225.
2.
Kali, Yassine, et al.. (2023). Walking position commanded NAO robot using nonlinear disturbance observer-based fixed-time terminal sliding mode. ISA Transactions. 146. 592–602. 6 indexed citations
3.
Khelladi, Djamel Eddine, et al.. (2020). Consistent change propagation within models. Software & Systems Modeling. 20(2). 539–555. 10 indexed citations
4.
Linsbauer, Lukas, Roberto E. Lopez-Herrejon, & Alexander Egyed. (2016). Variability extraction and modeling for product variants. Software & Systems Modeling. 16(4). 1179–1199. 53 indexed citations
5.
Fischer, Stefan, Lukas Linsbauer, Roberto E. Lopez-Herrejon, & Alexander Egyed. (2015). The ECCO Tool: Extraction and Composition for Clone-and-Own. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 665–668. 34 indexed citations
6.
Lopez-Herrejon, Roberto E., et al.. (2014). Automatic and Incremental Product Optimization for Software Product Lines. 31–40. 4 indexed citations
7.
Lopez-Herrejon, Roberto E., et al.. (2014). A parallel evolutionary algorithm for prioritized pairwise testing of software product lines. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 1255–1262. 24 indexed citations
8.
Fischer, Stefan, Lukas Linsbauer, Roberto E. Lopez-Herrejon, & Alexander Egyed. (2014). Enhancing Clone-and-Own with Systematic Reuse for Developing Software Variants. 124 indexed citations
9.
Lopez-Herrejon, Roberto E., et al.. (2013). Co-evolution of Metamodels and Models through Consistent Change Propagation.. 14–21. 3 indexed citations
10.
Lopez-Herrejon, Roberto E., et al.. (2013). Constraint-driven modeling through transformation. Software & Systems Modeling. 14(2). 573–596. 6 indexed citations
11.
Durán-Limón, Héctor A., et al.. (2011). Towards an ontology-based approach for deriving product architectures. 1–5. 2 indexed citations
12.
Lopez-Herrejon, Roberto E., Salvador Trujillo, & Maider Azanza. (2010). Using incremental consistency management for conformance checking in feature-oriented model-driven engineering. 93–100. 4 indexed citations
13.
Lopez-Herrejon, Roberto E. & José E. Rivera. (2009). Realizing Feature Oriented Software Development with Equational Logic: An Exploratory Study.. Espace ÉTS (ETS). 269–274. 2 indexed citations
14.
Lopez-Herrejon, Roberto E. & Salvador Trujillo. (2008). How complex is my product line? The case for variation point metrics. Espace ÉTS (ETS). 97–100. 8 indexed citations
15.
Lopez-Herrejon, Roberto E.. (2008). MODELS, FEATURES AND ALGEBRAS - An Exploratory Study of Model Composition and Software Product Lines. Espace ÉTS (ETS). 293–296. 1 indexed citations
16.
Lopez-Herrejon, Roberto E.. (2007). Language and UML Support for Features: Two Research Challenges.. Espace ÉTS (ETS). 97–100. 1 indexed citations
17.
Lopez-Herrejon, Roberto E., et al.. (2007). Feature designer - a feature modeling tool for .NET. Espace ÉTS (ETS). 94–99. 2 indexed citations
18.
Lopez-Herrejon, Roberto E. & Don Batory. (2006). Modeling features in aspect-based product lines with use case slices: an exploratory case study. 6–16. 4 indexed citations
19.
Lopez-Herrejon, Roberto E., Don Batory, & William R. Cook. (2005). Evaluating Support for Features in Advanced Modularization Technologies. Espace ÉTS (ETS). 13 indexed citations
20.
Lopez-Herrejon, Roberto E. & Don Batory. (2005). Improving Incremental Development in AspectJ by Bounding Quantification. 6. 18879–18879. 15 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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