Jan Bušta

2.1k citations
16 papers · 1.1k · 1 hit paper · h-index 6

Impact in

Papers in

Jan Bušta

15 papers receiving 1.0k citations

Jan Bušta's Hit Papers

The Sketch Engine 2014 · 1.1k citations
1.1k0+4+8Years since publication2505007501000

Peers

Jan Bušta
Comparison fields: 5 of 89
  • Language and Linguistics 594
  • Linguistics and Language 90
  • Literature and Literary Theory 180
  • Experimental and Cognitive Psychology 179
  • Communication 96
Replace Jan Michelfeit with:
Jan Michelfeit Czechia
Vít Baisa Czechia
Vojtěch Kovář Czechia
Miloš Jakubíček Czechia
Vít Suchomel Czechia
Kirsten Malmkjær United Kingdom
Dawn Archer United Kingdom
Basil Hatim United Kingdom
Melanie Green United Kingdom
Elena Tognini-Bonelli Czechia
Jan Bušta relative to Jan Michelfeit Czechia Jan Michelfeit's profile →
Citations per field
00.5×1.5×
Jan Michelfeit · 1×
Citations per year

Countries citing papers authored by Jan Bušta

Since Specialization
Citations

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

Fields of papers citing papers by Jan Bušta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jan Bušta, 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 Bušta Line = papers co-authored together Jan Bušta links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
The Sketch Engine
Hit paper breakdown →
20141099
2 20208
3 20236
4 20186
5
Classification of Errors in Text
20095
6 20215
7
DIACRAN: a framework for diachronic analysis
20154
8 20224
9 20243
10 20193
11 20232
12 20232
13
Computing Idioms Frequency in Text Corpora
20081
14 20241
15 20231
16 20250

About Jan Bušta

Jan Bušta is a scholar working on Orthopedics and Sports Medicine, Artificial Intelligence, Language and Linguistics, Physiology and Genetics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sports Performance and Training (10 papers), Sports injuries and prevention (6 papers), Natural Language Processing Techniques (4 papers), Body Composition Measurement Techniques (3 papers), Lexicography and Language Studies (3 papers), Genetics and Physical Performance (3 papers), Sport Psychology and Performance (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Language and Linguistics (594 citations), Linguistics and Language (90 citations), Literature and Literary Theory (180 citations), Experimental and Cognitive Psychology (179 citations) and Communication (96 citations). Jan Bušta has collaborated with scholars based in Czechia, Slovakia and New Zealand. Frequent co-authors include Miloš Jakubíček, Vojtěch Kovář, Adam Kilgarriff, Vít Baisa, Jan Michelfeit, Vít Suchomel, Pavel Rychlý, Darryl J. Cochrane, Andrew J. Martin and Jiří Baláš. Their work appears in journals such as Frontiers in Physiology, Frontiers in Sports and Active Living, International Journal of Performance Analysis in Sport, Journal of Functional Morphology and Kinesiology and International Journal of Morphology.

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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