Citations per year, relative to Christian Kop Christian Kop (= 1×)
peers
Alexander Kozlenkov
Countries citing papers authored by Christian Kop
Since
Specialization
Citations
This map shows the geographic impact of Christian Kop'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 Christian Kop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Kop more than expected).
This network shows the impact of papers produced by Christian Kop. 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 Christian Kop. The network helps show where Christian Kop may publish in the future.
Co-authorship network of co-authors of Christian Kop
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Kop.
A scholar is included among the top collaborators of Christian Kop 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 Christian Kop. Christian Kop 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.
Kop, Christian, et al.. (2020). A Domain Specific Modeling Language for Model-Based Design of Voice User Interfaces.. 3–16.1 indexed citations
2.
Kop, Christian, et al.. (2014). Schema Quality Improving Tasks in the Schema Integration Process. 7. 468–481.1 indexed citations
Kop, Christian, et al.. (2009). Background Information for Checking Completeness of a Conceptual Database Schema. International Conference on Software Engineering. 67–74.
Kop, Christian, et al.. (2008). Information Systems and e-Business Technologies: 2nd International United Information Systems Conference, UNISCON 2008, Klagenfurt, Austria, April 22-25, ... Notes in Business Information Processing). Springer eBooks. 592–592.
9.
Kop, Christian, et al.. (2008). Guidelines for modeling language independent integration of dynamic schemata. International Conference on Software Engineering. 112–117.1 indexed citations
10.
Scholz, Johannes, et al.. (2008). dbo@ema. A system for archiving, handling and mapping of heterogeneous dialect data for dialect dictionaries. 1467–1472.1 indexed citations
Hesse, Wolfgang, et al.. (2007). A Practical Approach to Ontology-based Software Engineering.. EMISA FORUM. 129–142.3 indexed citations
13.
Delcambre, Lois, Christian Kop, Heinrich C. Mayr, John Mylopoulos, & Óscar Pastor. (2005). Conceptual Modeling - ER 2005: 24th International Conference on Conceptual Modeling, Klagenfurt, Austria, October 24-28, 2005, Proceedings (Lecture Notes in Computer Science). Springer eBooks.
14.
Kop, Christian, et al.. (2005). Tool Supported Extraction of Behavior Models.. 114–123.3 indexed citations
15.
Kop, Christian, et al.. (2004). Recent Results of the NLRE (Natural Language based Requirements Engineering Project. EMISA FORUM. 24(24). 24–25.4 indexed citations
16.
Mayr, Heinrich C., et al.. (2004). Mapping pre-designed business process models to UML.. 400–405.7 indexed citations
17.
Kop, Christian, et al.. (2003). From Scenarios to KCPM Dynamic Schemas: Aspects of Automatic Mapping. 29. 91–105.14 indexed citations
18.
Mayr, Heinrich C., et al.. (2002). Mapping Functional Requirements: From Natural Language to Conceptual Schemata. International Conference on Software Engineering. 82–87.15 indexed citations
19.
Kop, Christian, et al.. (2001). The NIBA Approach to Quantity Settings and Conceptual Predesign. 211–214.1 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.