Julien Siebert

959 total citations
20 papers, 457 citations indexed

About

Julien Siebert is a scholar working on Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Julien Siebert has authored 20 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 4 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Julien Siebert's work include Software Engineering Research (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Statistical Mechanics and Entropy (3 papers). Julien Siebert is often cited by papers focused on Software Engineering Research (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Statistical Mechanics and Entropy (3 papers). Julien Siebert collaborates with scholars based in Germany, France and Japan. Julien Siebert's co-authors include Hui Han, Eckehard Schöll, Adam Trendowicz, Anna Maria Vollmer, Stefan Wagner, Marc Oriol, Xavier Franch, Silverio Martínez‐Fernández, Justus Bogner and Anna Zakharova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and Europhysics Letters (EPL).

In The Last Decade

Julien Siebert

20 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julien Siebert Germany 11 164 123 114 81 56 20 457
Yu Wu China 13 157 1.0× 181 1.5× 189 1.7× 90 1.1× 11 0.2× 63 519
D. Hughes United Kingdom 12 300 1.8× 207 1.7× 81 0.7× 29 0.4× 10 0.2× 32 713
Nabanita Das India 15 353 2.2× 147 1.2× 52 0.5× 59 0.7× 12 0.2× 105 731
Weina Niu China 14 260 1.6× 300 2.4× 312 2.7× 7 0.1× 30 0.5× 52 629
Xiaodong Liu China 9 106 0.6× 62 0.5× 72 0.6× 31 0.4× 35 0.6× 44 282
Qun Liu China 12 291 1.8× 139 1.1× 20 0.2× 128 1.6× 15 0.3× 68 562
Dina Goldin United States 14 228 1.4× 188 1.5× 51 0.4× 11 0.1× 30 0.5× 38 547
Matej Balog United Kingdom 4 45 0.3× 218 1.8× 86 0.8× 26 0.3× 47 0.8× 5 470
Jiji Zhang United States 14 60 0.4× 506 4.1× 79 0.7× 11 0.1× 6 0.1× 50 701
Lisa Amini United States 13 495 3.0× 291 2.4× 197 1.7× 15 0.2× 6 0.1× 34 727

Countries citing papers authored by Julien Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Julien Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Siebert

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Siebert. A scholar is included among the top collaborators of Julien Siebert 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 Julien Siebert. Julien Siebert 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.
Adler, Rasmus, et al.. (2024). Defining and Researching “Dynamic Systems of Systems”. SHILAP Revista de lepidopterología. 3(2). 183–205. 3 indexed citations
2.
Siebert, Julien. (2023). Applications of statistical causal inference in software engineering. Information and Software Technology. 159. 107198–107198. 15 indexed citations
3.
Trendowicz, Adam, et al.. (2023). User experience key performance indicators for industrial IoT systems: A multivocal literature review. SHILAP Revista de lepidopterología. 3(1). 100057–100057. 12 indexed citations
4.
Han, Hui & Julien Siebert. (2022). TinyML: A Systematic Review and Synthesis of Existing Research. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 269–274. 58 indexed citations
5.
Siebert, Julien, et al.. (2021). A Systematic Review of Packages for Time Series Analysis. MDPI (MDPI AG). 22–22. 8 indexed citations
6.
Martínez‐Fernández, Silverio, Justus Bogner, Xavier Franch, et al.. (2021). Software Engineering for AI-Based Systems: A Survey. arXiv (Cornell University). 157 indexed citations
7.
Siebert, Julien, et al.. (2021). Construction of a quality model for machine learning systems. Software Quality Journal. 30(2). 307–335. 36 indexed citations
8.
Trendowicz, Adam, Julien Siebert, & Andreas Jedlitschka. (2021). Data-Driven Technical Debt Management: Software Engineering or Data Science Challenge?. IEEE Software. 38(6). 59–64. 1 indexed citations
9.
Aoyama, Mikio, et al.. (2020). Requirements-Driven Method to Determine Quality Characteristics and Measurements for Machine Learning Software and Its Evaluation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 260–270. 18 indexed citations
10.
Siebert, Julien. (2018). Algorithm Accountability, Algorithm Literacy and the hidden assumptions from algorithms.. 29. 1 indexed citations
11.
Siebert, Julien & Eckehard Schöll. (2015). Front and Turing patterns induced by Mexican-hat–like nonlocal feedback. Europhysics Letters (EPL). 109(4). 40014–40014. 13 indexed citations
12.
Zakharova, Anna, Sarah A. M. Loos, Julien Siebert, Aleksandar Gjurchinovski, & Eckehard Schöll. (2015). Chimera patterns: influence of time delay and noise**This work was supported by DFG in the framework of SFB 910.. IFAC-PapersOnLine. 48(18). 7–12. 11 indexed citations
13.
Omelchenko, Iryna, Anna Zakharova, Philipp Hövel, Julien Siebert, & Eckehard Schöll. (2015). Nonlinearity of local dynamics promotes multi-chimeras. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(8). 83104–83104. 70 indexed citations
14.
Siebert, Julien, Sergio Alonso, Markus Bär, & Eckehard Schöll. (2014). Dynamics of reaction-diffusion patterns controlled by asymmetric nonlocal coupling as a limiting case of differential advection. Physical Review E. 89(5). 52909–52909. 15 indexed citations
15.
Siebert, Julien, Laurent Ciarletta, & Vincent Chevrier. (2010). Agents & artefacts for multiple models coordination. 2024–2028. 7 indexed citations
16.
Siebert, Julien, et al.. (2009). AA4MM coordination model and event-B specification. HAL (Le Centre pour la Communication Scientifique Directe). 22. 1 indexed citations
17.
Ciarletta, Laurent, et al.. (2008). Towards standards for Pervasive Computing evaluation: using the multi-model and multi-agent paradigms for mobility. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
18.
Vega, H. J. de & Julien Siebert. (2005). The self-gravitating gas in the presence of dark energy: Monte Carlo simulations and stability analysis. Nuclear Physics B. 726(3). 464–480. 7 indexed citations
19.
Vega, H. J. de & Julien Siebert. (2004). The self-gravitating gas in the presence of the cosmological constant. Nuclear Physics B. 707(3). 529–552. 14 indexed citations
20.
Vega, H. J. de & Julien Siebert. (2002). Statistical mechanics of the self-gravitating gas with two or more kinds of particles. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(1). 16112–16112. 9 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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