Research/art/teacher profile of a person
Name and surname:
RNDr. Anna Krakovská, CSc.
Document type:
Research/art/teacher profile of a person
The name of the university:
Comenius University Bratislava
The seat of the university:
Šafárikovo námestie 6, 818 06 Bratislava

I. - Basic information

I.1 - Surname
Krakovská
I.2 - Name
Anna
I.3 - Degrees
RNDr., PhD
I.4 - Year of birth
1963
I.5 - Name of the workplace
Institute of Measurement Science, Slovak Academy of Sciences
I.6 - Address of the workplace
Dubravska cesta 9, 841 04 Bratislava
I.7 - Position
researcher; Head of the Department of Theoretical Methods
I.8 - E-mail address
krakovska@savba.sk
I.10 - Name of the study field in which a person works at the university
applied mathematics
I.11 - ORCID iD
https://orcid.org/0000-0001-8071-8458

II. - Higher education and further qualification growth

II.1 - First degree of higher education
II.2 - Second degree of higher education
II.a - Name of the university or institution
Faculty of Mathematics and Physics, Comenius University, Bratislava
II.b - Year
1987
II.3 - Third degree of higher education
II.a - Name of the university or institution
Institute of Measurement Science, Slovak Academy of Sciences
II.b - Year
1993
II.4 - Associate professor
II.5 - Professor
II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

III.a - Occupation-position III.b - Institution III.c - Duration
researcher Institute of Measurement Science, Slovak Academy of Sciences 1994 - 2022

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes
V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year
V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year
V.4 - Overview of supervised final theses
V.4.1 - Number of currently supervised theses
V.4.a - Bachelor's (first degree)
1
V.4.2 - Number of defended theses
V.4.a - Bachelor's (first degree)
7
V.4.b - Diploma (second degree)
10
V.5 - Overview of other courses taught in the current academic year according to study programmes

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations
VI.1.1 - Number of the research/artistic/other outputs
VI.1.a - Overall
43
VI.1.b - Over the last six years
23
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
23
VI.1.b - Over the last six years
13
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
865
VI.1.b - Over the last six years
513
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
353
VI.1.b - Over the last six years
115
VI.1.5 - Number of invited lectures at the international, national level
VI.1.a - Overall
5
VI.1.b - Over the last six years
2
VI.2 - The most significant research/artistic/other outputs
1

ŠUŠMÁKOVÁ, K. - KRAKOVSKÁ, A. Discrimination ability of individual measures used in sleep stages classification. In Artificial Intelligence in Medicine, 2008, vol. 44, p. 261-277. ISSN 0933-3657. (2007: 1.825 - IF, Q1 - JCR, 0.993 - SJR, Q1 – SJR), https://www.sciencedirect.com/science/article/pii/S0933365708000924

Cit. Google Scholar: 143, WOS: 77, SCOPUS: 17 

2

KRAKOVSKÁ, A. - MEZEIOVÁ, K. Automatic sleep scoring: A search for an optimal combination of measures. In Artificial Intelligence in Medicine, 2011, vol. 53, no. 1, p. 25-33. ISSN 0933-3657. (2010: 1.568 - IF, Q2 - JCR, 0.619 - SJR, Q2 - SJR), https://www.sciencedirect.com/science/article/pii/S0933365711000741

Cit. Google Scholar: 98, WOS: 62, SCOPUS: 10

3

TEPLAN, M. - KRAKOVSKÁ, A. - ŠTOLC, S. EEG responses to long-term audio-visual stimulation. In International Journal of Psychophysiology, 2006, vol. 59, p. 81-90. ISSN 0167-8760. (2005: 2.584 - IF, Q1 - JCR, 1.269 - SJR, Q1 - SJR), https://www.sciencedirect.com/science/article/pii/S0167876005001029

Cit. Google Scholar: 93, WOS: 38, SCOPUS: 10

4

TEPLAN, M. - KRAKOVSKÁ, A. - ŠTOLC, S. Direct effects of audio-visual stimulation on EEG. In Computer Methods and Programs in Biomedicine, 2011, vol. 102, no. 1, p. 17-24. ISSN 0169-2607. (2010: 1.238 - IF, Q2 - JCR, 0.540 - SJR, Q2 - SJR), https://www.sciencedirect.com/science/article/pii/S0169260710002890

Cit. Google Scholar: 40, WOS: 10, SCOPUS: 7

5

KRAKOVSKÁ, A. - JAKUBÍK, J. - CHVOSTEKOVÁ, M. - COUFAL, D. - JAJCAY, N. - PALUŠ, M. Comparison of six methods for the detection of causality in a bivariate time series. In Physical Review E, 2018, vol. 97, p. 042207. ISSN 2470-0045. (2017: 2.284 - IF, Q1 - JCR, 0.979 - SJR, Q1 - SJR), https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.042207

Cit. Google Scholar: 30, WOS: 18, SCOPUS: 1

VI.3 - The most significant research/artistic/other outputs over the last six years
1

KRAKOVSKÁ, A. - JAKUBÍK, J. - CHVOSTEKOVÁ, M. - COUFAL, D. - JAJCAY, N. - PALUŠ, M. Comparison of six methods for the detection of causality in a bivariate time series. In Physical Review E, 2018, vol. 97, p. 042207. ISSN 2470-0045. (2017: 2.284 - IF, Q1 - JCR, 0.979 - SJR, Q1 - SJR), https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.042207

Cit. Google Scholar: 30, WOS: 18, SCOPUS: 1

2

PALUŠ, M. - KRAKOVSKÁ, A. - JAKUBÍK, J. - CHVOSTEKOVÁ, M. Causality, dynamical systems and the arrow of time. In Chaos : An Interdisciplinary Journal of Nonlinear Science, 2018, vol. 28, no. 7, p. 075307. ISSN 1054-1500. (2017: 2.415 - IF, Q1 - JCR, 0.716 - SJR, Q2 - SJR), https://aip.scitation.org/doi/abs/10.1063/1.5019944

Cit. Google Scholar: 37, WOS: 19, SCOPUS: 2 

3

COUFAL, D. - JAKUBÍK, J. - JAJCAY, N. - HLINKA, J. - KRAKOVSKÁ, A. - PALUŠ, M. Detection of coupling delay: A problem not yet solved. In Chaos, 2017, vol. 27, no. 8, p. 083109. ISSN 1054-1500. (2016: 2.283 - IF, Q1 - JCR, 0.780 - SJR, Q2 – SJR), https://aip.scitation.org/doi/abs/10.1063/1.4997757

Cit. Google Scholar: 20, WOS: 15, SCOPUS: 1

4

KRAKOVSKÁ, A. - HANZELY, F. Testing for causality in reconstructed state spaces by an optimized mixed prediction method. In Physical Review E, 2016, vol. 94, no. 5, p. 052203. ISSN 2470-0045. (2015: 2.252 - IF, Q1 - JCR, 1.183 - SJR, Q1 - SJR), https://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.052203

Cit. Google Scholar: 18, WOS: 6, SCOPUS: 2

5

KRAKOVSKÁ, A. Correlation dimension detects causal links in coupled dynamical systems. In Entropy, 2019, vol. 21, no. 9, art. no. 818. ISSN 1099-4300. (2018: 2.419 - IF, Q2 - JCR, 0.524 - SJR, Q2 - SJR), https://www.mdpi.com/1099-4300/21/9/818

Cit. Google Scholar: 5, WOS: 2

VI.4 - The most significant citations corresponding to the research/artistic/other outputs
1

Fraiwan, L. et al. Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier. Computer methods and programs in biomedicine 108.1 (2012): 10-19. https://www.sciencedirect.com/science/article/pii/S0169260711003105

2

Vernon, David, et al. "Tracking EEG changes in response to alpha and beta binaural beats." International Journal of Psychophysiology 93.1 (2014): 134-139, https://www.sciencedirect.com/science/article/pii/S0167876012006241

3

Koley, B., and Debangshu D. An ensemble system for automatic sleep stage classification using single channel EEG signal. Computers in biology and medicine 42.12 (2012): 1186-1195. https://www.sciencedirect.com/science/article/pii/S0010482512001588

4

Liang, S-F, et al. Automatic stage scoring of single-channel sleep EEG by using multiscale entropy and autoregressive models. IEEE Transactions on Instrumentation and Measurement 61.6 (2012): 1649-1657. https://ieeexplore.ieee.org/abstract/document/6165354

5

Sen, Baha, et al. A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms. Journal of medical systems 38.3 (2014): 1-21.https://link.springer.com/article/10.1007/s10916-014-0018-0

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years
1

Analysis of multivariate time series and its application to research of functional connectivity in the brain; VEGA, 2/0081/19; 2019 – 2021; Project coordinator

2

Advanced statistical and computational methods for measurement and metrology; APVV-15-0295; 2016 – 2020; researcher

3

Analysis of causal relationships in complex systems with an emphasis on biomedical applications; VEGA, 2/0011/16; 2016 – 2018; Project coordinator

4

Synchronization and causality in complex systems: time series methods; Inter-academic agreement with the Czech Acad. of Sc.; 2015 – 2017; Project coordinator

5

Causal analysis of measured signals and time series; VEGA, 2/0023/22, 2022-2025; Project coordinator

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts