Beata Graff
Impact in
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- Heart Rate Variability and Autonomic Control
- Blood Pressure and Hypertension Studies
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in ⓘ
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- Heart Rate Variability and Autonomic Control 18
- Blood Pressure and Hypertension Studies 5
- Cardiovascular Health and Disease Prevention 4
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- Krzysztof Narkiewicz (26 shared papers)Dariusz Gąsecki (7 shared papers)Grzegorz Graff (12 shared papers)Danuta Makowiec (11 shared papers)Agnieszka Sabisz (3 shared papers)Edyta Szurowska (3 shared papers)Krzysztof Jodzio (3 shared papers)Jacek Wolf (8 shared papers)
In The Last Decade
Beata Graff
40 papers receiving 479 citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 211
- Cognitive Neuroscience 108
- Biological Psychiatry 14
- Neurology 38
- Sensory Systems 22
Countries citing papers authored by Beata Graff
This map shows the geographic impact of Beata Graff'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 Beata Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beata Graff more than expected).
Fields of papers citing papers by Beata Graff
This network shows the impact of papers produced by Beata Graff. 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 Beata Graff. The network helps show where Beata Graff may publish in the future.
Co-authors
The 25 scholars most cited alongside Beata Graff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 92 | |
| 2 | 2013 | 59 | |
| 3 | 2013 | 32 | |
| 4 | 2012 | 29 | |
| 5 | 2017 | 27 | |
| 6 | ENTROPY MEASURES OF HEART RATE VARIABILITY FOR SHORT ECG DATASETS IN PATIENTS WITH CONGESTIVE HEART FAILURE | 2012 | 26 |
| 7 | 2022 | 21 | |
| 8 | 2015 | 20 | |
| 9 | 2015 | 20 | |
| 10 | 2019 | 16 | |
| 11 | 2013 | 15 | |
| 12 | 2017 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2002 | 6 | |
| 20 | 2014 | 6 |
About Beata Graff
Beata Graff is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biological Psychiatry, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems, having authored 43 papers that have together received 493 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (18 papers), Complex Systems and Time Series Analysis (7 papers), Non-Invasive Vital Sign Monitoring (6 papers), Blood Pressure and Hypertension Studies (5 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers), EEG and Brain-Computer Interfaces (4 papers), Cardiovascular Health and Disease Prevention (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (211 citations), Cognitive Neuroscience (108 citations), Biological Psychiatry (14 citations), Neurology (38 citations) and Sensory Systems (22 citations). Beata Graff has collaborated with scholars based in Poland, Japan and France. Frequent co-authors include Krzysztof Narkiewicz, Dariusz Gąsecki, Grzegorz Graff, Danuta Makowiec, Agnieszka Sabisz, Edyta Szurowska, Krzysztof Jodzio, Jacek Wolf, Pierre Boutouyrie and Zbigniew R. Struzik. Their work appears in journals such as Journal of Hypertension, Blood Pressure, Scientific Reports, Autonomic Neuroscience and Physiological Measurement.
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.