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.
Citations per year, relative to Jan M. Żytkow Jan M. Żytkow (= 1×)
peers
Peter Bruza
Countries citing papers authored by Jan M. Żytkow
Since
Specialization
Citations
This map shows the geographic impact of Jan M. Żytkow'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 Jan M. Żytkow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan M. Żytkow more than expected).
This network shows the impact of papers produced by Jan M. Żytkow. 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 Jan M. Żytkow. The network helps show where Jan M. Żytkow may publish in the future.
Co-authorship network of co-authors of Jan M. Żytkow
This figure shows the co-authorship network connecting the top 25 collaborators of Jan M. Żytkow.
A scholar is included among the top collaborators of Jan M. Żytkow 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 Jan M. Żytkow. Jan M. Żytkow 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.
Suzuki, Einoshin & Jan M. Żytkow. (2005). Unified algorithm for undirected discovery of exception rules: Research Articles. International Journal of Intelligent Systems. 20(7). 673–691.10 indexed citations
2.
Żytkow, Jan M. & Willi Klösgen. (2002). Multidisciplinary contributions to knowledge discovery. Oxford University Press eBooks. 22–32.1 indexed citations
3.
Żytkow, Jan M.. (2002). Types and forms of knowledge (patterns): decision trees. Oxford University Press eBooks. 54–56.2 indexed citations
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 & Jan M. Żytkow. (2002). The knowledge discovery process. Oxford University Press eBooks. 10–21.10 indexed citations
6.
Żytkow, Jan M.. (2002). Types and forms of knowledge (patterns): rules. Oxford University Press eBooks. 51–54.1 indexed citations
Żytkow, Jan M. & Jan Rauch. (1999). Principles of data mining and knowledge discovery : Third European Conference, PKDD '99, Prague, Czech Republic, September 15-18, 1999 : proceedings. Springer eBooks.5 indexed citations
9.
Żytkow, Jan M., et al.. (1998). Principles of data mining and knowledge discovery : Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998 : proceedings. Springer eBooks.1 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 & Jan M. Żytkow. (1996). Knowledge Discovery in Database Terminology.. Knowledge Discovery and Data Mining. 573–592.3 indexed citations
12.
Żytkow, Jan M., et al.. (1996). From contingency tables to various forms of knowledge in databases. Knowledge Discovery and Data Mining. 328–349.34 indexed citations
13.
Żytkow, Jan M., et al.. (1995). Discovering enrollment knowledge in university databases. Knowledge Discovery and Data Mining. 246–251.19 indexed citations
14.
Klösgen, Willi & Jan M. Żytkow. (1994). Machine discovery terminology. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).3 indexed citations
Valdés‐Pérez, Raúl E., Jan M. Żytkow, & Herbert A. Simon. (1993). Scientific model-building as search in matrix spaces. National Conference on Artificial Intelligence. 472–478.18 indexed citations
17.
Żytkow, Jan M., et al.. (1992). Operational definition refinement: a discovery process. National Conference on Artificial Intelligence. 76–81.6 indexed citations
18.
Żytkow, Jan M., et al.. (1992). Discovery of equations: experimental evaluation of convergence. National Conference on Artificial Intelligence. 70–75.20 indexed citations
19.
Żytkow, Jan M., et al.. (1991). Discovering quarks and hidden structure. Elsevier eBooks. 362–370.13 indexed citations
20.
Żytkow, Jan M. & Jieming Zhu. (1991). Determining repeatability and error in experimental results by a discovery system. Elsevier eBooks. 438–445.1 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.