Beata Graff
Impact in
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- Heart Rate Variability and Autonomic Control
- Blood Pressure and Hypertension Studies
Papers in
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- Heart Rate Variability and Autonomic Control 16
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- EEG and Brain-Computer Interfaces 3
- Functional Brain Connectivity Studies 3
- Co-authors
- Krzysztof Narkiewicz (28 shared papers)Dariusz Gąsecki (8 shared papers)Grzegorz Graff (13 shared papers)Krzysztof Jodzio (4 shared papers)Danuta Makowiec (12 shared papers)Agnieszka Sabisz (4 shared papers)Edyta Szurowska (4 shared papers)Jacek Wolf (8 shared papers)
In The Last Decade
Beata Graff
40 papers receiving 514 citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 192
- Biological Psychiatry 13
- Cognitive Neuroscience 98
- Statistical and Nonlinear Physics 49
- Neurology 27
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2013 | 63 | |
| 3 | 2013 | 35 | |
| 4 | 2017 | 29 | |
| 5 | 2012 | 29 | |
| 6 | ENTROPY MEASURES OF HEART RATE VARIABILITY FOR SHORT ECG DATASETS IN PATIENTS WITH CONGESTIVE HEART FAILURE | 2012 | 28 |
| 7 | 2013 | 22 | |
| 8 | 2022 | 22 | |
| 9 | 2015 | 20 | |
| 10 | 2015 | 20 | |
| 11 | 2019 | 18 | |
| 12 | 2017 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2018 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2011 | 9 | |
| 19 | 2014 | 7 | |
| 20 | 2017 | 5 |
About Beata Graff
Beata Graff is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Surgery, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics, having authored 45 papers that have together received 529 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (16 papers), Complex Systems and Time Series Analysis (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (192 citations), Biological Psychiatry (13 citations), Cognitive Neuroscience (98 citations), Statistical and Nonlinear Physics (49 citations) and Neurology (27 citations). Beata Graff has collaborated with scholars based in Poland, Japan and France. Frequent co-authors include Krzysztof Narkiewicz, Dariusz Gąsecki, Grzegorz Graff, Krzysztof Jodzio, Danuta Makowiec, Agnieszka Sabisz, Edyta Szurowska, Jacek Wolf, Pierre Boutouyrie and Zbigniew R. Struzik. Their work appears in journals such as Journal of Hypertension, Scientific Reports, Blood Pressure, Autonomic Neuroscience and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.