Regina Hebig

1.4k total citations
64 papers, 564 citations indexed

About

Regina Hebig is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Regina Hebig has authored 64 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Information Systems, 28 papers in Software and 24 papers in Artificial Intelligence. Recurrent topics in Regina Hebig's work include Software Engineering Research (40 papers), Advanced Software Engineering Methodologies (20 papers) and Software Engineering Techniques and Practices (20 papers). Regina Hebig is often cited by papers focused on Software Engineering Research (40 papers), Advanced Software Engineering Methodologies (20 papers) and Software Engineering Techniques and Practices (20 papers). Regina Hebig collaborates with scholars based in Sweden, Germany and Netherlands. Regina Hebig's co-authors include Michel R. V. Chaudron, Gregório Robles, Reda Bendraou, Djamel Eddine Khelladi, Holger Giese, Thorsten Berger, Jacob Krüger, Hui Shen, Basil Becker and Miroslaw Staron and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and Information and Software Technology.

In The Last Decade

Regina Hebig

58 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Regina Hebig Sweden 12 424 258 247 134 54 64 564
Brian Berenbach United States 15 607 1.4× 315 1.2× 210 0.9× 84 0.6× 81 1.5× 46 710
Andrea Janes Italy 16 560 1.3× 185 0.7× 223 0.9× 236 1.8× 92 1.7× 72 733
Marios Fokaefs Canada 11 564 1.3× 186 0.7× 242 1.0× 242 1.8× 47 0.9× 44 678
Horst Lichter Germany 12 477 1.1× 237 0.9× 190 0.8× 175 1.3× 119 2.2× 97 656
Carlos Cetina Spain 15 523 1.2× 385 1.5× 198 0.8× 175 1.3× 41 0.8× 85 669
Juri Di Rocco Italy 16 501 1.2× 280 1.1× 318 1.3× 164 1.2× 83 1.5× 70 697
Harald Störrle Denmark 13 391 0.9× 303 1.2× 348 1.4× 92 0.7× 170 3.1× 57 643
Zengyang Li China 11 624 1.5× 175 0.7× 271 1.1× 168 1.3× 66 1.2× 48 775
S. Tilley United States 12 437 1.0× 238 0.9× 174 0.7× 154 1.1× 29 0.5× 40 532
Paulo César Masiero Brazil 14 531 1.3× 304 1.2× 447 1.8× 165 1.2× 26 0.5× 86 800

Countries citing papers authored by Regina Hebig

Since Specialization
Citations

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

Fields of papers citing papers by Regina Hebig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Regina Hebig. 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 Regina Hebig. The network helps show where Regina Hebig may publish in the future.

Co-authorship network of co-authors of Regina Hebig

This figure shows the co-authorship network connecting the top 25 collaborators of Regina Hebig. A scholar is included among the top collaborators of Regina Hebig 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 Regina Hebig. Regina Hebig 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.
Klünder, Jil, et al.. (2025). Don’t settle for the first! How many GitHub Copilot solutions should you check?. Information and Software Technology. 183. 107737–107737. 1 indexed citations
2.
Zhang, Wenli, et al.. (2025). An empirical study of manual abstraction between class diagrams and code of open-source systems. Software & Systems Modeling. 24(6). 1797–1823. 1 indexed citations
3.
Hebig, Regina, et al.. (2024). The Roles, Responsibilities, and Skills of Engineers in the Era of Microservices-Based Architectures. Chalmers Research (Chalmers University of Technology). 13–23.
4.
Strüber, Daniel, et al.. (2024). Supporting meta-model-based language evolution and rapid prototyping with automated grammar transformation. Journal of Systems and Software. 214. 112069–112069. 2 indexed citations
5.
Hebig, Regina, et al.. (2023). Supporting Meta-Model-Based Language Evolution and Rapid Prototyping with Automated Grammar Optimization. SSRN Electronic Journal. 1 indexed citations
6.
Leitner, Philipp, et al.. (2023). An empirical study of the systemic and technical migration towards microservices. Empirical Software Engineering. 28(4). 85–85. 8 indexed citations
7.
Zhang, Wenli, et al.. (2023). Manual Abstraction in the Wild: A Multiple-Case Study on OSS Systems’ Class Diagrams and Implementations. Radboud Repository (Radboud University). 36–46. 1 indexed citations
8.
Dávid, István, et al.. (2022). Blended modeling in commercial and open-source model-driven software engineering tools: A systematic study. Software & Systems Modeling. 22(1). 415–447. 26 indexed citations
9.
Staron, Miroslaw, et al.. (2022). Predicting build outcomes in continuous integration using textual analysis of source code commits. Chalmers Research (Chalmers University of Technology). 42–51. 2 indexed citations
10.
Hebig, Regina, et al.. (2020). Why do Software Teams Deviate from Scrum?. Chalmers Research (Chalmers University of Technology). 11. 71–80. 2 indexed citations
11.
Hebig, Regina, et al.. (2020). How do Students Experience and Judge Software Comprehension Techniques?. Chalmers Research (Chalmers University of Technology). 425–435. 5 indexed citations
12.
Penzenstadler, Birgit, et al.. (2019). Raising Awareness for Potential Sustainability Effects in Uganda: A Survey-based Empirical Study. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 4 indexed citations
13.
Ochodek, Mirosław, et al.. (2019). Recognizing lines of code violating company-specific coding guidelines using machine learning. Empirical Software Engineering. 25(1). 220–265. 11 indexed citations
14.
Krüger, Jacob, et al.. (2019). Where is my feature and what is it about? A case study on recovering feature facets. Journal of Systems and Software. 152. 239–253. 44 indexed citations
15.
Kuhrmann, Marco, et al.. (2019). Summary of the International Conference on Software and System Processes (ICSSP 2018). ACM SIGSOFT Software Engineering Notes. 43(4). 54–54.
16.
Khelladi, Djamel Eddine, Reda Bendraou, Regina Hebig, & Marie‐Pierre Gervais. (2017). A semi-automatic maintenance and co-evolution of OCL constraints with (meta)model evolution. Journal of Systems and Software. 134. 242–260. 12 indexed citations
17.
Hebig, Regina, et al.. (2017). Practices and Perceptions of UML Use in Open Source Projects. 203–212. 25 indexed citations
18.
Hebig, Regina, et al.. (2016). On tackling quality threats for the assessment of measurement programs: A case study on the distribution of metric usage and knowledge. Science of Computer Programming. 135. 45–74. 1 indexed citations
19.
Hebig, Regina, et al.. (2015). Identifying Metrics' Biases When Measuring or Approximating Size in Heterogeneous Languages. Chalmers Research (Chalmers University of Technology). 3 indexed citations
20.
Hebig, Regina, et al.. (2012). Towards patterns for MDE-related processes to detect and handle changeability risks. 38–47. 4 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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