Ilias Gerostathopoulos

1.4k total citations
67 papers, 638 citations indexed

About

Ilias Gerostathopoulos is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ilias Gerostathopoulos has authored 67 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 41 papers in Computer Networks and Communications and 30 papers in Information Systems. Recurrent topics in Ilias Gerostathopoulos's work include Advanced Software Engineering Methodologies (39 papers), Software System Performance and Reliability (29 papers) and Service-Oriented Architecture and Web Services (13 papers). Ilias Gerostathopoulos is often cited by papers focused on Advanced Software Engineering Methodologies (39 papers), Software System Performance and Reliability (29 papers) and Service-Oriented Architecture and Web Services (13 papers). Ilias Gerostathopoulos collaborates with scholars based in Germany, Czechia and Netherlands. Ilias Gerostathopoulos's co-authors include Tomáš Bureš, Christian Prehofer, František Plášil, Petr Hnětynka, Alexander Pretschner, Evangelos Pournaras, Danny Weyns, Florian Hauer, Patricia Lago and Alessia Knauss and has published in prestigious journals such as IEEE Access, Journal of Systems and Software and Lecture notes in computer science.

In The Last Decade

Ilias Gerostathopoulos

59 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilias Gerostathopoulos Germany 13 335 301 221 80 70 67 638
Giovanni Caire Italy 11 356 1.1× 281 0.9× 181 0.8× 29 0.4× 48 0.7× 16 655
Christos Tsigkanos Austria 15 188 0.6× 262 0.9× 171 0.8× 105 1.3× 33 0.5× 48 568
Moharram Challenger Belgium 16 297 0.9× 204 0.7× 213 1.0× 242 3.0× 50 0.7× 104 779
Zahra Pooranian Italy 20 253 0.8× 755 2.5× 333 1.5× 39 0.5× 77 1.1× 37 1.1k
Zhendong Ma Austria 15 475 1.4× 447 1.5× 283 1.3× 33 0.4× 155 2.2× 34 1.1k
Jang‐Eui Hong South Korea 12 147 0.4× 131 0.4× 222 1.0× 94 1.2× 62 0.9× 83 523
Abdelouahed Gherbi Canada 16 160 0.5× 284 0.9× 276 1.2× 39 0.5× 20 0.3× 62 596
Vincenzo Gulisano Sweden 17 286 0.9× 583 1.9× 334 1.5× 16 0.2× 79 1.1× 73 893
Jeremy Bryans United Kingdom 14 308 0.9× 344 1.1× 146 0.7× 62 0.8× 112 1.6× 56 831
Éric Monfroy France 13 307 0.9× 214 0.7× 78 0.4× 62 0.8× 56 0.8× 69 684

Countries citing papers authored by Ilias Gerostathopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Ilias Gerostathopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilias Gerostathopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Ilias Gerostathopoulos. A scholar is included among the top collaborators of Ilias Gerostathopoulos 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 Ilias Gerostathopoulos. Ilias Gerostathopoulos 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.
Gerostathopoulos, Ilias, et al.. (2025). Towards Continuous Experiment-Driven MLOps. VU Research Portal. 89–94.
2.
Gerostathopoulos, Ilias, et al.. (2024). ReBeT: Architecture-based Self-adaptation of Robotic Systems through Behavior Trees. VU Research Portal. 1–10.
3.
Weyns, Danny, Ilias Gerostathopoulos, Stefan Biffl, et al.. (2023). Self-Adaptation in Industry: A Survey. ACM Transactions on Autonomous and Adaptive Systems. 18(2). 1–44. 18 indexed citations
4.
Weyns, Danny, Ilias Gerostathopoulos, Jesper Andersson, et al.. (2022). Preliminary results of a survey on the use of self-adaptation in industry. VU Research Portal. 70–76. 11 indexed citations
5.
Bureš, Tomáš, et al.. (2021). Targeting uncertainty in smart CPS by confidence-based logic. Journal of Systems and Software. 181. 111065–111065. 1 indexed citations
6.
Gerostathopoulos, Ilias, et al.. (2021). Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems. mediaTUM (Technical University of Munich). 130–141. 7 indexed citations
7.
Gerostathopoulos, Ilias, František Plášil, Christian Prehofer, Janek Thomas, & Bernd Bischl. (2021). Automated Online Experiment-Driven Adaptation–Mechanics and Cost Aspects. IEEE Access. 9. 58079–58087. 3 indexed citations
8.
Gerostathopoulos, Ilias, Thomas Vogel, Danny Weyns, & Patricia Lago. (2021). How do we Evaluate Self-adaptive Software Systems?: A Ten-Year Perspective of SEAMS. VU Research Portal. 59–70. 8 indexed citations
9.
Gerostathopoulos, Ilias, et al.. (2019). Adaptable Anomaly Detection in Traffic Flow Time Series. 1–9. 2 indexed citations
10.
Prehofer, Christian, et al.. (2018). Stream Analytics in IoT Mashup Tools. 227–231. 5 indexed citations
11.
Gerostathopoulos, Ilias, et al.. (2018). Tuning self-adaptation in cyber-physical systems through architectural homeostasis. Journal of Systems and Software. 148. 37–55. 14 indexed citations
12.
Filieri, Antonio, Martina Maggio, Konstantinos Angelopoulos, et al.. (2017). Control Strategies for Self-Adaptive Software Systems. ACM Transactions on Autonomous and Adaptive Systems. 11(4). 1–31. 42 indexed citations
13.
Bureš, Tomáš, et al.. (2017). Intelligent Ensembles – a Declarative Group Description Language and Java Framework (Artifact). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
14.
Gerostathopoulos, Ilias, et al.. (2016). Towards Integration of Big Data Analytics in Internet of Things Mashup Tools. 11–16. 8 indexed citations
15.
Gerostathopoulos, Ilias, et al.. (2016). Towards systematic live experimentation in software-intensive systems of systems. 1–7. 2 indexed citations
16.
Gerostathopoulos, Ilias. (2015). Model-Driven Development of Software-Intensive Cyber-Physical Systems. Digital Repository (National Repository of Grey Literature). 2 indexed citations
17.
Gerostathopoulos, Ilias, et al.. (2015). An Architecture Framework for Experimentations with Self-Adaptive Cyber-physical Systems. 93–96. 21 indexed citations
18.
Bureš, Tomáš, Danny Weyns, Christian Berger, et al.. (2015). Software Engineering for Smart Cyber-Physical Systems -- Towards a Research Agenda. ACM SIGSOFT Software Engineering Notes. 40(6). 28–32. 20 indexed citations
19.
Bureš, Tomáš, et al.. (2013). Design of ensemble-based component systems by invariant refinement. ASEP. 91–100. 12 indexed citations
20.
Gerostathopoulos, Ilias, Tomáš Bureš, & Petr Hnětynka. (2013). Position paper. 79–86. 2 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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