Jörg-Uwe Kietz

816 total citations
16 papers, 365 citations indexed

About

Jörg-Uwe Kietz is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jörg-Uwe Kietz has authored 16 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Jörg-Uwe Kietz's work include Semantic Web and Ontologies (9 papers), Advanced Database Systems and Queries (7 papers) and Data Mining Algorithms and Applications (6 papers). Jörg-Uwe Kietz is often cited by papers focused on Semantic Web and Ontologies (9 papers), Advanced Database Systems and Queries (7 papers) and Data Mining Algorithms and Applications (6 papers). Jörg-Uwe Kietz collaborates with scholars based in Switzerland, Germany and Belgium. Jörg-Uwe Kietz's co-authors include Raphael Volz, Alexander Maedche, Katharina Morik, Abraham Bernstein, Sašo Džeroski, Joaquin Vanschoren, Stefan Wrobel, Werner Emde, Simon Fischer and Martin Staudt and has published in prestigious journals such as ACM Computing Surveys, Machine Learning and Very Large Data Bases.

In The Last Decade

Jörg-Uwe Kietz

16 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg-Uwe Kietz Switzerland 8 310 149 58 57 49 16 365
Ahmad Abdollahzadeh Barforoush Iran 8 274 0.9× 196 1.3× 49 0.8× 58 1.0× 51 1.0× 24 390
Johanna Völker Germany 13 335 1.1× 143 1.0× 19 0.3× 96 1.7× 27 0.6× 27 384
Agnieszka Ławrynowicz Poland 9 186 0.6× 96 0.6× 20 0.3× 76 1.3× 23 0.5× 40 267
Silvia Calegari Italy 9 211 0.7× 143 1.0× 61 1.1× 19 0.3× 26 0.5× 24 272
Anni-Yasmin Turhan Germany 9 226 0.7× 96 0.6× 27 0.5× 53 0.9× 75 1.5× 42 261
Jean Lieber France 9 213 0.7× 56 0.4× 28 0.5× 46 0.8× 41 0.8× 45 273
John Goodwin United Kingdom 6 241 0.8× 89 0.6× 13 0.2× 96 1.7× 43 0.9× 9 297
Nick Drummond United Kingdom 8 299 1.0× 129 0.9× 20 0.3× 154 2.7× 62 1.3× 11 378
John Cabral Australia 6 302 1.0× 91 0.6× 13 0.2× 38 0.7× 36 0.7× 7 340
Victoria Nebot Spain 11 278 0.9× 145 1.0× 23 0.4× 62 1.1× 120 2.4× 19 352

Countries citing papers authored by Jörg-Uwe Kietz

Since Specialization
Citations

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

Fields of papers citing papers by Jörg-Uwe Kietz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörg-Uwe Kietz. 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 Jörg-Uwe Kietz. The network helps show where Jörg-Uwe Kietz may publish in the future.

Co-authorship network of co-authors of Jörg-Uwe Kietz

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg-Uwe Kietz. A scholar is included among the top collaborators of Jörg-Uwe Kietz 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 Jörg-Uwe Kietz. Jörg-Uwe Kietz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Gao, Shen, et al.. (2015). Running out of Bindings? Integrating Facts and Events in Linked Data Stream Processing. Zurich Open Repository and Archive (University of Zurich). 2 indexed citations
2.
Vanschoren, Joaquin, et al.. (2013). A survey of intelligent assistants for data analysis. ACM Computing Surveys. 45(3). 1–35. 52 indexed citations
3.
Kietz, Jörg-Uwe, et al.. (2012). Designing KDD-Workflows via HTN-Planning for Intelligent Discovery Assistance. Zurich Open Repository and Archive (University of Zurich). 8 indexed citations
4.
Kietz, Jörg-Uwe, et al.. (2010). An overview of intelligent data assistants for data analysis. Zurich Open Repository and Archive (University of Zurich). 7–14. 4 indexed citations
5.
Kietz, Jörg-Uwe, et al.. (2010). Data mining workflow templates for intelligent discovery assistance and auto-experimentation. Zurich Open Repository and Archive (University of Zurich). 1–12. 20 indexed citations
6.
Kietz, Jörg-Uwe. (2003). Ontology Learning from Text: Tasks and Challenges for Machine Learning.. 453–455. 1 indexed citations
7.
Kietz, Jörg-Uwe, et al.. (2001). M 4. 85–92. 1 indexed citations
8.
Staudt, Martin, Jörg-Uwe Kietz, & Ulrich Reimer. (2001). Access to heterogeneous data sources for supporting business process execution. 197–206. 1 indexed citations
9.
Kietz, Jörg-Uwe, Alexander Maedche, & Raphael Volz. (2000). A Method for Semi-Automatic Ontology Acquisition from a Corporate Intranet. MADOC (University of Mannheim). 1. 95 indexed citations
10.
Kietz, Jörg-Uwe, Raphael Volz, & Alexander Maedche. (2000). Extracting a domain-specific ontology from a corporate intranet. 7. 167–167. 38 indexed citations
11.
Staudt, Martin, Jörg-Uwe Kietz, & Ulrich Reimer. (1998). A data mining support environment and its application on insurance data. Knowledge Discovery and Data Mining. 105–111. 3 indexed citations
12.
Kietz, Jörg-Uwe, Ulrich Reimer, & Martin Staudt. (1997). Mining Insurance Data at Swiss Life. Very Large Data Bases. 562–566. 4 indexed citations
13.
Staudt, Martin, Jörg-Uwe Kietz, & Ulrich Reimer. (1997). ADLER: An Environment for Mining Insurance Data.. 2 indexed citations
14.
Kietz, Jörg-Uwe & Sašo Džeroski. (1994). Inductive logic programming and learnability. ACM SIGART Bulletin. 5(1). 22–32. 32 indexed citations
15.
Kietz, Jörg-Uwe & Katharina Morik. (1994). A Polynomial Approach to the Constructive Induction of Structural Knowledge. Machine Learning. 14(2). 193–217. 52 indexed citations
16.
Morik, Katharina, Stefan Wrobel, Jörg-Uwe Kietz, & Werner Emde. (1993). Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 50 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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