Jan M. Żytkow

3.1k citations
67 papers · 1.6k indexed · 1 hit paper · h-index 18

Jan M. Żytkow

62 papers receiving 1.3k citations

Hit Papers

Scientific Discovery: Computational Explorations of the C...19872026200020131987100200300400

Peers

Jan M. Żytkow
Comparison fields: 5 of 151
  • Artificial Intelligence 767
  • Information Systems 334
  • Computational Theory and Mathematics 278
  • History and Philosophy of Science 202
  • Signal Processing 152
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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).

Fields of papers citing papers by Jan M. Żytkow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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
#WorkIndexed citations
1
Unified algorithm for undirected discovery of exception rules: Research Articles
10
2
Multidisciplinary contributions to knowledge discovery
1
3
Types and forms of knowledge (patterns): decision trees
2
4
Knowledge discovery in databases: the purpose, necessity, and challenges
4
5
The knowledge discovery process
10
6
Types and forms of knowledge (patterns): rules
1
7 6
8
Principles of data mining and knowledge discovery : Third European Conference, PKDD '99, Prague, Czech Republic, September 15-18, 1999 : proceedings
5
9
Principles of data mining and knowledge discovery : Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998 : proceedings
1
10
Knowledge discovery in databases terminology
25
11
Knowledge Discovery in Database Terminology.
3
12
From contingency tables to various forms of knowledge in databases
34
13
Discovering enrollment knowledge in university databases
19
14
Machine discovery terminology
3
15 1
16
Scientific model-building as search in matrix spaces
18
17
Operational definition refinement: a discovery process
6
18
Discovery of equations: experimental evaluation of convergence
20
19
Discovering quarks and hidden structure
13
20
Determining repeatability and error in experimental results by a discovery system
1

About Jan M. Żytkow

Jan M. Żytkow is a scholar working on History and Philosophy of Science, Computational Theory and Mathematics and Artificial Intelligence, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (15 papers), Semantic Web and Ontologies (13 papers) and Rough Sets and Fuzzy Logic (10 papers). The work is most often cited by research in History and Philosophy of Science (202 citations), Artificial Intelligence (767 citations) and Computational Theory and Mathematics (278 citations). Jan M. Żytkow has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Herbert A. Simon, Pat Langley, Gary L. Bradshaw, Willi Klösgen, Einoshin Suzuki, Jieming Zhu, Abul Hussam, Raúl E. Valdés‐Pérez, George Rzevski and Andrzej Lewenstam. Their work appears in journals such as Behavioral and Brain Sciences, Artificial Intelligence and Machine Learning.

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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