Jan Daciuk

639 citations
16 papers · 281 · h-index 8

Impact in

    • Natural Language Processing Techniques
    • Algorithms and Data Compression
    • Topic Modeling
    • Machine Learning and Algorithms
    • Advanced Text Analysis Techniques
    • Speech and dialogue systems
    • semigroups and automata theory
    • Formal Methods in Verification

Papers in

Jan Daciuk

16 papers receiving 247 citations

Peers

Jan Daciuk
Comparison fields: 5 of 41
  • Artificial Intelligence 245
  • Computational Theory and Mathematics 103
  • Software 10
  • Hardware and Architecture 17
  • Computer Vision and Pattern Recognition 26
Replace Mark-Jan Nederhof with:
Mark-Jan Nederhof Netherlands
Jean-Philippe Bernardy Sweden
Dale Gerdemann Germany
Joachim Niehren Germany
Bob Carpenter United States
Edward Hirsch Russia
Jonathan Graehl United States
Hiyan Alshawi United States
Rémi Zajac United States
Nancy McCracken United States
Jan Daciuk relative to Mark-Jan Nederhof Netherlands Mark-Jan Nederhof's profile →
Citations per field
00.5×
Mark-Jan Nederhof · 1×
Citations per year

Countries citing papers authored by Jan Daciuk

Since Specialization
Citations

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

Fields of papers citing papers by Jan Daciuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Daciuk. 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 Daciuk. The network helps show where Jan Daciuk may publish in the future.

Co-authors

The 11 scholars most cited alongside Jan Daciuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Daciuk Line = papers co-authored together Jan Daciuk links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200088
2
The 18th International Conference on Computational Linguistics
200085
3 199828
4 200326
5 200210
6 20088
7
Finite State Tools for Natural Language Processing
20008
8
Algorithms for Linguistic Processing, NWO PIONIER, Progress Report
20028
9 19995
10 20034
11
Optimization of Automata
20143
12
Treatment of Unknown Words
20012
13 20042
14 20122
15
NLP Dictionaries Implemented as FSAs
20101
16
Computer-Assisted Enlargement of Morphological Dictionaries
20011

About Jan Daciuk

Jan Daciuk is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Hardware and Architecture and Language and Linguistics, having authored 16 papers that have together received 281 indexed citations. Recurring topics across this work include semigroups and automata theory (10 papers), Algorithms and Data Compression (7 papers), Natural Language Processing Techniques (6 papers), DNA and Biological Computing (3 papers), Network Packet Processing and Optimization (2 papers), Logic, programming, and type systems (2 papers), Lexicography and Language Studies (1 paper) and linguistics and terminology studies (1 paper). The work is most often cited by research in Artificial Intelligence (245 citations), Computational Theory and Mathematics (103 citations), Software (10 citations), Hardware and Architecture (17 citations) and Computer Vision and Pattern Recognition (26 citations). Jan Daciuk has collaborated with scholars based in Poland, Netherlands and South Africa. Frequent co-authors include Bruce W. Watson, R. E. Watson, Stoyan Mihov, Mikel L. Forcada, Rafael C. Carrasco, Gertjan van Noord, L.J. van der Beek, Robert Malouf, Gosse Bouma and van Gerardus Noord. Their work appears in journals such as Computational Linguistics, Theoretical Computer Science, Algorithmica, Natural Language Engineering and Journal of Experimental Botany.

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.

Explore authors with similar magnitude of impact