Beata Graff

765 total citations
43 papers, 493 citations indexed

About

Beata Graff is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Beata Graff has authored 43 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 11 papers in Cognitive Neuroscience and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Beata Graff's work include Heart Rate Variability and Autonomic Control (18 papers), Complex Systems and Time Series Analysis (7 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Beata Graff is often cited by papers focused on Heart Rate Variability and Autonomic Control (18 papers), Complex Systems and Time Series Analysis (7 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Beata Graff collaborates with scholars based in Poland, Japan and France. Beata Graff's co-authors include Krzysztof Narkiewicz, Dariusz Gąsecki, Grzegorz Graff, Edyta Szurowska, Danuta Makowiec, Agnieszka Sabisz, Krzysztof Jodzio, Jacek Wolf, Pierre Boutouyrie and Zbigniew R. Struzik and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Beata Graff

40 papers receiving 479 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beata Graff Poland 12 211 108 74 70 61 43 493
Nina Japundžić‐Žigon Serbia 18 272 1.3× 84 0.8× 53 0.7× 62 0.9× 45 0.7× 56 812
Yibin Cao China 15 150 0.7× 151 1.4× 32 0.4× 43 0.6× 16 0.3× 36 576
Luiz Eduardo Virgílio Silva Brazil 14 392 1.9× 91 0.8× 147 2.0× 42 0.6× 73 1.2× 38 582
Motohisa Osaka Japan 11 355 1.7× 34 0.3× 54 0.7× 54 0.8× 24 0.4× 37 506
Ary L. Goldberger United States 7 168 0.8× 84 0.8× 74 1.0× 22 0.3× 79 1.3× 8 490
Zhihua Zhang China 15 447 2.1× 68 0.6× 29 0.4× 119 1.7× 9 0.1× 44 849
Sirkku M. Pikkujämsä Finland 9 802 3.8× 131 1.2× 231 3.1× 81 1.2× 146 2.4× 10 906
O. Oz Israel 8 452 2.1× 62 0.6× 177 2.4× 107 1.5× 16 0.3× 18 504
A. Gapelyuk Germany 14 232 1.1× 71 0.7× 64 0.9× 43 0.6× 23 0.4× 25 638
U. Zwiener Germany 19 358 1.7× 223 2.1× 189 2.6× 61 0.9× 65 1.1× 77 935

Countries citing papers authored by Beata Graff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beata Graff

This figure shows the co-authorship network connecting the top 25 collaborators of Beata Graff. A scholar is included among the top collaborators of Beata Graff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beata Graff. Beata Graff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Czyżewski, Andrzej, et al.. (2025). A Comprehensive Polish Medical Speech Dataset for Enhancing Automatic Medical Dictation. Scientific Data. 12(1). 1436–1436.
2.
Lip, Stefanie, Alison Q. O’Neil, Beata Graff, et al.. (2024). Assessing Machine Learning for Diagnostic Classification of Hypertension Types Identified by Ambulatory Blood Pressure Monitoring. CJC Open. 6(6). 798–804. 2 indexed citations
3.
Graff, Beata, et al.. (2024). Aldosterone in the brain and cognition: knowns and unknowns. Frontiers in Endocrinology. 15. 1456211–1456211. 4 indexed citations
4.
Pilarczyk, Paweł, et al.. (2023). Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(10). 3 indexed citations
5.
Czyżewski, Andrzej, et al.. (2022). Algoritmically improved microwave radar monitors breathing more acurrate than sensorized belt. Scientific Reports. 12(1). 14412–14412. 4 indexed citations
6.
Graff, Grzegorz, et al.. (2021). Persistent homology as a new method of the assessment of heart rate variability. PLoS ONE. 16(7). e0253851–e0253851. 11 indexed citations
7.
Szczuko, Piotr, et al.. (2021). Mining Knowledge of Respiratory Rate Quantification and Abnormal Pattern Prediction. Cognitive Computation. 14(6). 2120–2140. 3 indexed citations
8.
Soliński, Mateusz, Paweł Kuklik, Jan Gierałtowski, et al.. (2020). The effect of persistent U-shaped patterns in RR night-time series on the heart rate variability complexity in healthy humans. Physiological Measurement. 41(6). 65001–65001. 4 indexed citations
9.
Soliński, Mateusz, Rafał Baranowski, Beata Graff, & Jan J. Żebrowski. (2019). The Effect of U-Shaped Patterns to Nonlinear Properties of Heart Rate Variability. Computing in Cardiology Conference. 1 indexed citations
10.
Graff, Beata, Dariusz Gąsecki, Jacek Wolf, et al.. (2019). Cognitive Dysfunction in Type 1 Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 104(6). 2239–2249. 92 indexed citations
11.
Wolnik, Bogumił, et al.. (2019). The phenomenon of HbA1c stability and the risk of hypoglycemia in long-standing type 1 diabetes. Diabetes Research and Clinical Practice. 152. 96–102. 3 indexed citations
12.
Makowiec, Danuta, Beata Graff, & Zbigniew R. Struzik. (2017). Multistructure index characterization of heart rate and systolic blood pressure reveals precursory signs of syncope. Scientific Reports. 7(1). 419–419. 5 indexed citations
13.
Graff, Beata, et al.. (2017). Complexity of cardiovascular rhythms during head-up tilt test by entropy of patterns. Physiological Measurement. 38(5). 819–832. 12 indexed citations
14.
Przewoźny, Tomasz, Mariusz Kwarciany, Beata Graff, et al.. (2015). Hypertension is associated with dysfunction of both peripheral and central auditory system. Journal of Hypertension. 34(4). 736–744. 20 indexed citations
15.
Graff, Beata, et al.. (2015). Entropy Measures in the Assessment of Heart Rate Variability in Patients with Cardiodepressive Vasovagal Syncope. Entropy. 17(3). 1007–1022. 20 indexed citations
16.
Graff, Beata, Dariusz Gąsecki, Pierre Boutouyrie, et al.. (2013). Heart rate variability and functional outcome in ischemic stroke. Journal of Hypertension. 31(8). 1629–1636. 59 indexed citations
17.
Graff, Beata, Anna Szyndler, W. Kucharska, et al.. (2013). Relationship between heart rate variability, blood pressure and arterial wall properties during air and oxygen breathing in healthy subjects. Autonomic Neuroscience. 178(1-2). 60–66. 15 indexed citations
18.
Graff, Beata. (2012). ENTROPY MEASURES OF HEART RATE VARIABILITY FOR SHORT ECG DATASETS IN PATIENTS WITH CONGESTIVE HEART FAILURE. Acta Physica Polonica B Proceedings Supplement. 5(1). 0–0. 26 indexed citations
19.
Graff, Beata, Grzegorz Graff, Edward Koźluk, et al.. (2011). Electrophysiological features in patients with sinus node dysfunction and vasovagal syncope. Archives of Medical Science. 6(6). 963–970. 8 indexed citations
20.
Lundgren, Steinar, et al.. (2002). Effects of growth factors on growth and radiation sensitivity of the human breast cancer cell line T-47D. Oncology Reports. 9(2). 397–403. 6 indexed citations

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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