Jan Michelfeit

2.2k citations
9 papers · 895 · 1 hit paper · h-index 6

Impact in

Papers in

Jan Michelfeit

9 papers receiving 809 citations

Jan Michelfeit's Hit Papers

The Sketch Engine 2014 · 833 citations
8330+4+8Years since publication250500750

Peers

Jan Michelfeit
Comparison fields: 5 of 77
  • Language and Linguistics 456
  • Literature and Literary Theory 151
  • Experimental and Cognitive Psychology 152
  • Artificial Intelligence 367
  • Linguistics and Language 50
Replace Jan Bušta with:
Jan Bušta Czechia
Vojtěch Kovář Czechia
Miloš Jakubíček Czechia
Vít Baisa Czechia
Vít Suchomel Czechia
Kirsten Malmkjær United Kingdom
Dawn Archer United Kingdom
Yukio Tono Japan
Elena Tognini-Bonelli Czechia
Christopher Tribble United Kingdom
Jan Michelfeit relative to Jan Bušta Czechia Jan Bušta's profile →
Citations per field
00.5×1.5×
Jan Bušta · 1×
Citations per year

Countries citing papers authored by Jan Michelfeit

Since Specialization
Citations

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

Fields of papers citing papers by Jan Michelfeit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Jan Michelfeit, 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 Michelfeit Line = papers co-authored together Jan Michelfeit links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
The Sketch Engine
Hit paper breakdown →
2014833
2 201813
3
Text Tokenisation Using unitok
201411
4 201211
5
Linked data fusion in ODCleanstore
201210
6 201610
7
Automatic generation of the Estonian Collocations: Dictionary database
20155
8
New directions in linked data fusion
20141
9 20191

About Jan Michelfeit

Jan Michelfeit is a scholar working on Artificial Intelligence, Language and Linguistics, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 9 papers that have together received 895 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Semantic Web and Ontologies (4 papers), Lexicography and Language Studies (3 papers), Advanced Database Systems and Queries (3 papers), Translation Studies and Practices (2 papers), linguistics and terminology studies (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Language and Linguistics (456 citations), Literature and Literary Theory (151 citations), Experimental and Cognitive Psychology (152 citations), Artificial Intelligence (367 citations) and Linguistics and Language (50 citations). Jan Michelfeit has collaborated with scholars based in Czechia, United States and Estonia. Frequent co-authors include Vít Suchomel, Vít Baisa, Miloš Jakubíček, Adam Kilgarriff, Vojtěch Kovář, Pavel Rychlý, Jan Bušta, Jan Pomikálek, Martin Nečaský and Iztok Kosem. Their work appears in journals such as Language Resources and Evaluation, International Journal of Lexicography, Zenodo (CERN European Organization for Nuclear Research), International Semantic Web Conference and Dialnet (Universidad de la Rioja).

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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