Justus Bogner

1.5k total citations
44 papers, 606 citations indexed

About

Justus Bogner is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Justus Bogner has authored 44 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 21 papers in Computer Networks and Communications and 15 papers in Artificial Intelligence. Recurrent topics in Justus Bogner's work include Software System Performance and Reliability (19 papers), Software Engineering Research (15 papers) and Service-Oriented Architecture and Web Services (11 papers). Justus Bogner is often cited by papers focused on Software System Performance and Reliability (19 papers), Software Engineering Research (15 papers) and Service-Oriented Architecture and Web Services (11 papers). Justus Bogner collaborates with scholars based in Germany, Netherlands and Italy. Justus Bogner's co-authors include Stefan Wagner, Alfréd Zimmermann, Silverio Martínez‐Fernández, Xavier Franch, Anna Maria Vollmer, Marc Oriol, Julien Siebert, Adam Trendowicz, Dierk Jugel and Michael Möhring and has published in prestigious journals such as ACM Computing Surveys, IEEE Software and Empirical Software Engineering.

In The Last Decade

Justus Bogner

39 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justus Bogner Germany 13 353 255 191 98 67 44 606
Marc Oriol Spain 14 517 1.5× 249 1.0× 240 1.3× 109 1.1× 81 1.2× 39 713
Jordi Marco Spain 14 441 1.2× 246 1.0× 258 1.4× 76 0.8× 45 0.7× 50 636
Adam Trendowicz Germany 14 604 1.7× 130 0.5× 203 1.1× 133 1.4× 328 4.9× 30 849
Luiz Marcio Cysneiros Canada 14 524 1.5× 107 0.4× 456 2.4× 130 1.3× 100 1.5× 46 726
Gustavo A. Oliva Canada 12 450 1.3× 155 0.6× 127 0.7× 59 0.6× 79 1.2× 38 564
Nobukazu Yoshioka Japan 15 619 1.8× 301 1.2× 292 1.5× 54 0.6× 104 1.6× 140 874
Johannes Sametinger Austria 12 422 1.2× 165 0.6× 299 1.6× 48 0.5× 156 2.3× 55 699
Brian Berenbach United States 15 607 1.7× 84 0.3× 315 1.6× 81 0.8× 210 3.1× 46 710
Juri Di Rocco Italy 16 501 1.4× 164 0.6× 280 1.5× 83 0.8× 318 4.7× 70 697
Sudip Roy United States 9 162 0.5× 161 0.6× 270 1.4× 68 0.7× 14 0.2× 12 522

Countries citing papers authored by Justus Bogner

Since Specialization
Citations

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

Fields of papers citing papers by Justus Bogner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justus Bogner

This figure shows the co-authorship network connecting the top 25 collaborators of Justus Bogner. A scholar is included among the top collaborators of Justus Bogner 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 Justus Bogner. Justus Bogner 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.
Lanese, Ivan, Daniel Balouek‐Thomert, Justus Bogner, et al.. (2025). AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study. Computing. 107(4). 2 indexed citations
2.
Bogner, Justus, et al.. (2024). How do ML practitioners perceive explainability? an interview study of practices and challenges. Empirical Software Engineering. 30(1). 3 indexed citations
3.
4.
Lago, Patricia, et al.. (2024). A Synthesis of Green Architectural Tactics for ML-Enabled Systems. VU Research Portal. 130–141. 10 indexed citations
5.
Bogner, Justus, et al.. (2024). Beyond Self-Promotion: How Software Engineering Research Is Discussed on LinkedIn. VU Research Portal. 85–95.
6.
Martínez‐Fernández, Silverio, et al.. (2024). Analyzing the Evolution and Maintenance of ML Models on Hugging Face. VU Research Portal. 607–618. 9 indexed citations
7.
Bogner, Justus, et al.. (2024). How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection. VU Research Portal. 172–182. 1 indexed citations
8.
Lago, Patricia, et al.. (2024). Sustainability Integration of Artificial Intelligence into the Software Development Life Cycle. VU Research Portal. 199–206. 1 indexed citations
9.
Bogner, Justus, et al.. (2023). Do RESTful API design rules have an impact on the understandability of Web APIs?. Empirical Software Engineering. 28(6). 4 indexed citations
10.
Bogner, Justus, et al.. (2023). Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository. 184–196. 6 indexed citations
11.
Bogner, Justus, et al.. (2022). Adopting microservices and DevOps in the cyber‐physical systems domain: A rapid review and case study. Software Practice and Experience. 53(3). 790–810. 9 indexed citations
12.
Bogner, Justus, et al.. (2022). Adopting Microservices and DevOps in the Cyber-Physical Systems Domain: A Rapid Review and Case Study. arXiv (Cornell University). 1 indexed citations
13.
Martínez‐Fernández, Silverio, Justus Bogner, Xavier Franch, et al.. (2021). Software Engineering for AI-Based Systems: A Survey. arXiv (Cornell University). 157 indexed citations
14.
Bogner, Justus, et al.. (2019). Towards a Collaborative Repository for the Documentation of Service-Based Antipatterns and Bad Smells. Reutlingen University Academic Bibliography (Reutlingen University). 95–101. 18 indexed citations
15.
Bogner, Justus, Stefan Wagner, & Alfréd Zimmermann. (2019). On the impact of service-oriented patterns on software evolvability: a controlled experiment and metric-based analysis. PeerJ Computer Science. 5. e213–e213. 3 indexed citations
16.
Bogner, Justus, Alfréd Zimmermann, & Stefan Wagner. (2018). Analyzing the relevance of SOA patterns for microservice-based systems. Reutlingen University Academic Bibliography (Reutlingen University). 9–16. 10 indexed citations
17.
Bogner, Justus, et al.. (2018). Limiting technical debt with maintainability assurance. Reutlingen University Academic Bibliography (Reutlingen University). 125–133. 15 indexed citations
18.
Zimmermann, Alfréd, Rainer Schmidt, Kurt Sandkuhl, et al.. (2017). Decision Management for Micro-Granular Digital Architecture. Reutlingen University Academic Bibliography (Reutlingen University). 29–38. 5 indexed citations
19.
Zimmermann, Alfréd, Justus Bogner, Rainer Schmidt, et al.. (2016). Digital enterprise architecture with micro-granular systems and services. Reutlingen University Academic Bibliography (Reutlingen University). 5 indexed citations
20.
Bogner, Justus & Alfréd Zimmermann. (2016). Towards Integrating Microservices with Adaptable Enterprise Architecture. Reutlingen University Academic Bibliography (Reutlingen University). 1–6. 34 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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