Jan Bukartyk

24 papers receiving 772 citations

Jan Bukartyk's Hit Papers

Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals 2022 · 170 citations
1700+1+2Years since publication50100150

Peers

Jan Bukartyk
Comparison fields: 5 of 101
  • Health Informatics 23
  • Experimental and Cognitive Psychology 221
  • Endocrine and Autonomic Systems 103
  • Cognitive Neuroscience 153
  • Physiology 189
Replace Kentaro Matsui with:
Kentaro Matsui Japan
Kerstin Ritter Germany
Sepideh Khoshnevis United States
Harald Aurlien Norway
Yee‐Hsee Hsieh United States
Scott Mayer McKinney United States
Rani A. Sarkis United States
Jesper Jeppesen Denmark
Alice Lam United States
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Jan Bukartyk relative to Kentaro Matsui Japan Kentaro Matsui's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jan Bukartyk

Since Specialization
Citations

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

Fields of papers citing papers by Jan Bukartyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Bukartyk, 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 Bukartyk Line = papers co-authored together Jan Bukartyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
Hit paper breakdown →
2022170
2 2013138
3 201496
4 201664
5 201046
6 202141
7 201139
8 201538
9 201437
10 201125
11 201719
12 201118
13 201416
14 201615
15 20157
16 20244
17 20192
18 20122
19 20152
20 20202

About Jan Bukartyk

Jan Bukartyk is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 26 papers that have together received 786 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (7 papers), Sleep and related disorders (5 papers), Obesity, Physical Activity, Diet (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Sleep and Wakefulness Research (3 papers), Potassium and Related Disorders (2 papers) and Coffee research and impacts (2 papers). The work is most often cited by research in Health Informatics (23 citations), Experimental and Cognitive Psychology (221 citations), Endocrine and Autonomic Systems (103 citations), Cognitive Neuroscience (153 citations) and Physiology (189 citations). Jan Bukartyk has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Virend K. Somers, Andrew D. Calvin, Naima Covassin, Christelle van der Walt, Taro Adachi, Felipe N. Albuquerque, Diane E. Davison, James A. Levine, Prachi Singh and Paula Macedo. Their work appears in journals such as Journal of the American College of Cardiology, Hypertension, The FASEB Journal, Journal of the American Heart Association and CHEST Journal.

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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