This map shows the geographic impact of Willi Klösgen'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 Willi Klösgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willi Klösgen more than expected).
This network shows the impact of papers produced by Willi Klösgen. 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 Willi Klösgen. The network helps show where Willi Klösgen may publish in the future.
Co-authorship network of co-authors of Willi Klösgen
This figure shows the co-authorship network connecting the top 25 collaborators of Willi Klösgen.
A scholar is included among the top collaborators of Willi Klösgen 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 Willi Klösgen. Willi Klösgen 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.
Żytkow, Jan M. & Willi Klösgen. (2002). Multidisciplinary contributions to knowledge discovery. Oxford University Press eBooks. 22–32.1 indexed citations
2.
Klösgen, Willi. (2002). Types and forms of data. Oxford University Press eBooks. 33–44.3 indexed citations
3.
Klösgen, Willi. (2002). Data mining tasks and methods: Subgroup discovery: change analysis. Oxford University Press eBooks. 361–364.
4.
Klösgen, Willi & Jan M. Żytkow. (2002). Knowledge discovery in databases: the purpose, necessity, and challenges. Oxford University Press eBooks. 1–9.4 indexed citations
5.
Klösgen, Willi. (2002). Data mining tasks and methods: Subgroup discovery: deviation analysis. Oxford University Press eBooks. 354–361.3 indexed citations
6.
Klösgen, Willi & Jan M. Żytkow. (2002). The knowledge discovery process. Oxford University Press eBooks. 10–21.10 indexed citations
7.
Klösgen, Willi. (2002). Types and forms of knowledge (patterns): subgroup patterns. Oxford University Press eBooks. 47–51.2 indexed citations
8.
Feldman, Ronen & Willi Klösgen. (1998). Data Mining on the Web: A Promising Challenge?. Künstliche Intell.. 12. 35–36.1 indexed citations
9.
Feldman, Ronen, et al.. (1997). Visualization techniques to explore data mining results for document collections. 16–23.15 indexed citations
10.
Klösgen, Willi & Jan M. Żytkow. (1996). Knowledge discovery in databases terminology. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 573–592.25 indexed citations
11.
Klösgen, Willi. (1996). Explora: a multipattern and multistrategy discovery assistant. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 249–271.237 indexed citations
12.
Klösgen, Willi & Jan M. Żytkow. (1996). Knowledge Discovery in Database Terminology.. Knowledge Discovery and Data Mining. 573–592.3 indexed citations
13.
Klösgen, Willi. (1996). A Multipattern and Multistrategy Discovery Approach. Knowledge Discovery and Data Mining. 249–271.5 indexed citations
14.
Klösgen, Willi. (1995). Anonymization techniques for Knowledge Discovery in Databases. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 186–191.18 indexed citations
Klösgen, Willi, et al.. (1991). A Support System for Interpreting Statistical Data.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 325–346.39 indexed citations
20.
Klösgen, Willi, et al.. (1985). Sozio-ökonomische Simulation und Planung. Entwicklungsstand und Computerunterstützung.. Informatik-Spektrum. 8. 328–336.1 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.