Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Palladio component model for model-driven performance prediction
2008455 citationsSteffen Becker, Ralf Reussner et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Steffen Becker
Since
Specialization
Citations
This map shows the geographic impact of Steffen Becker'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 Steffen Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Becker more than expected).
This network shows the impact of papers produced by Steffen Becker. 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 Steffen Becker. The network helps show where Steffen Becker may publish in the future.
Co-authorship network of co-authors of Steffen Becker
This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Becker.
A scholar is included among the top collaborators of Steffen Becker 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 Steffen Becker. Steffen Becker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Becker, Steffen, et al.. (2020). Reflective Pedagogical Practice on and in Introduction to Programming and Software Engineering.. 7–10.1 indexed citations
10.
Becker, Steffen, et al.. (2015). Towards a secure cloud usage for financial IT.. 153–158.2 indexed citations
11.
Goldschmidt, Thomas, Steffen Becker, & Erik Bürger. (2012). Towards a tool-oriented taxonomy of view-based modelling. 59–74.17 indexed citations
12.
Becker, Steffen, et al.. (2011). Towards the Combination of Clustering-based and Pattern-based Reverse Engineering Approaches.. 23–28.4 indexed citations
13.
Becker, Steffen. (2011). Towards System Viewpoints to Specify Adaptation Models at Runtime.. Softwaretechnik-Trends. 31.3 indexed citations
Becker, Steffen, et al.. (2008). Model Dependencies, Fine-Grained Relations, and Integrator Tools. Lecture notes in computer science. 4970. 612–620.2 indexed citations
16.
Krogmann, Klaus & Steffen Becker. (2007). A Case Study on Model-Driven and Conventional Software Development: The palladio editor.. 169–175.13 indexed citations
17.
Reussner, Ralf, et al.. (2005). Quality of software architectures and software quality : First International Conference on the Quality of Software Architectures, QoSA 2005, and Second International Workshop on Software Quality, SOQUA 2005, Erfurt, Germany, September 20-22, 2005 : proceedings. Springer eBooks.2 indexed citations
18.
Reussner, Ralf, Johannes Mayer, Judith A. Stafford, et al.. (2005). Quality of Software Architectures and Software Quality: First International Conference on the Quality of Software Architectures, QoSA 2005 and Second International ... (Lecture Notes in Computer Science). Springer eBooks.1 indexed citations
19.
Becker, Steffen. (2001). Einfluss und Grenzen des Shareholder Value : Strategie- und Strukturwandel deutscher Großunternehmen der chemischen und pharmazeutischen Industrie. P. Lang eBooks.1 indexed citations
20.
Menz, Wolfgang, et al.. (1999). Shareholder Value gegen Belegschaftsinteressen : der Weg der Hoechst AG zum "Life-Science"-Konzern.3 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.