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.
This map shows the geographic impact of Stefan Decker'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 Stefan Decker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Decker more than expected).
This network shows the impact of papers produced by Stefan Decker. 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 Stefan Decker. The network helps show where Stefan Decker may publish in the future.
Co-authorship network of co-authors of Stefan Decker
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Decker.
A scholar is included among the top collaborators of Stefan Decker 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 Stefan Decker. Stefan Decker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bonatti, Piero A., Stefan Decker, Javier D. Fernández, et al.. (2018). Data Privacy Vocabularies and Controls: Semantic Web for Transparency and Privacy. Lirias (KU Leuven).3 indexed citations
9.
Karim, Md Rezaul, Michael Cochez, Oya Beyan, et al.. (2018). Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction.. arXiv (Cornell University).2 indexed citations
10.
Beyan, Oya & Stefan Decker. (2016). An RDF Based Semantic Approach to Model Temporal Relations in Health Records.. Fraunhofer-Publica (Fraunhofer-Gesellschaft).
11.
Scerri, Simon, et al.. (2008). The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies. International Conference on Dublin Core and Metadata Applications. 128–137.29 indexed citations
Decker, Stefan, et al.. (2001). On the integration of topic maps and RDF. International Semantic Web Conference. 331–344.3 indexed citations
16.
Decker, Stefan, B. Heinemann, Christoph Jungemann, B. Meinerzhagen, & B. Neinhüs. (2000). Investigation of High Frequency Noise in a SiGe HBT Based on Shockley’s Impedance Field Method and the Hydrodynamic Model. TechConnect Briefs. 364–367.2 indexed citations
17.
Staab, Steffen, Jürgen Angele, Stefan Decker, et al.. (2000). AI for the Web - Ontology-Based Community Web Portals. National Conference on Artificial Intelligence. 1034–1039.25 indexed citations
18.
Angele, Jürgen, Stefan Decker, Michael Erdmann, et al.. (1999). On2broker: Semantic-based access to information sources at the WWW. World Conference on WWW and Internet. 1999(1). 366–371.65 indexed citations
19.
Abecker, Andreas, Stefan Decker, & Otto Kühn. (1998). Organizational Memory - Das aktuelle Schlagwort.. Informatik-Spektrum. 21. 213–214.1 indexed citations
20.
Fensel, Dieter, Andreas Witt, Jürgen Angele, et al.. (1998). On2broker in a Nutshell.1 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.