Beata Graff
Impact in
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- Heart Rate Variability and Autonomic Control
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- Diabetes Management and Research
Papers in
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- Heart Rate Variability and Autonomic Control 22
- Cardiovascular Health and Disease Prevention 3
- Blood Pressure and Hypertension Studies 2
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- Diabetes Management and Research 3
- Co-authors
- Krzysztof Narkiewicz (26 shared papers)Dariusz Gąsecki (7 shared papers)Danuta Makowiec (12 shared papers)Grzegorz Graff (13 shared papers)Edyta Szurowska (3 shared papers)Krzysztof Jodzio (3 shared papers)Agnieszka Sabisz (3 shared papers)Jacek Wolf (7 shared papers)
In The Last Decade
Beata Graff
40 papers receiving 514 citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 202
- Endocrinology, Diabetes and Metabolism 57
- Neurology 26
- Sensory Systems 16
- Statistical and Nonlinear Physics 28
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 | 102 | |
| 2 | 2013 | 66 | |
| 3 | 2013 | 38 | |
| 4 | 2017 | 29 | |
| 5 | 2022 | 25 | |
| 6 | 2013 | 24 | |
| 7 | 2015 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2021 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2019 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2018 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2011 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2014 | 7 | |
| 20 | 2018 | 7 |
About Beata Graff
Beata Graff is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Health Information Management, having authored 43 papers that have together received 526 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (22 papers), Complex Systems and Time Series Analysis (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Diabetes Management and Research (3 papers), Dementia and Cognitive Impairment Research (2 papers), Blood Pressure and Hypertension Studies (2 papers), Topological and Geometric Data Analysis (2 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (202 citations), Endocrinology, Diabetes and Metabolism (57 citations), Neurology (26 citations), Sensory Systems (16 citations) and Statistical and Nonlinear Physics (28 citations). Beata Graff has collaborated with scholars based in Poland, Japan and Spain. Frequent co-authors include Krzysztof Narkiewicz, Dariusz Gąsecki, Danuta Makowiec, Grzegorz Graff, Edyta Szurowska, Krzysztof Jodzio, Agnieszka Sabisz, Jacek Wolf, Pierre Boutouyrie and Stéphane Laurent. Their work appears in journals such as Scientific Reports, Blood Pressure, Journal of Hypertension, Physiological Measurement and Autonomic Neuroscience.
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.