Michaela Šidiková

524 total citations
9 papers, 318 citations indexed

About

Michaela Šidiková is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Michaela Šidiková has authored 9 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Cognitive Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Michaela Šidiková's work include ECG Monitoring and Analysis (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Neural Engineering (3 papers). Michaela Šidiková is often cited by papers focused on ECG Monitoring and Analysis (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Neural Engineering (3 papers). Michaela Šidiková collaborates with scholars based in Czechia, Poland and United States. Michaela Šidiková's co-authors include Radek Martínek, Aleksandra Kawala‐Sterniuk, René Jaroš, Martina Ládrová, Khosrow Behbehani, Mariusz Pelc, Jarosław Zygarlicki, Edward Jacek Gorzelańczyk, Radana Kahánková and Lukáš Danys and has published in prestigious journals such as Sensors, Brain Sciences and IFAC-PapersOnLine.

In The Last Decade

Michaela Šidiková

9 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michaela Šidiková Czechia	6	167	107	70	66	36	9	318
Hakseung Kim South Korea	12	155 0.9×	85 0.8×	102 1.5×	66 1.0×	26 0.7×	44	412
Jiaxing Wang China	12	194 1.2×	167 1.6×	70 1.0×	43 0.7×	68 1.9×	53	439
Aya Khalaf United States	10	203 1.2×	50 0.5×	47 0.7×	104 1.6×	37 1.0×	29	314
Hong Ji Lee South Korea	13	156 0.9×	289 2.7×	77 1.1×	66 1.0×	40 1.1×	18	569
Haoran Ren China	10	99 0.6×	128 1.2×	28 0.4×	60 0.9×	18 0.5×	24	287
Takashi Nakamura United Kingdom	10	334 2.0×	189 1.8×	70 1.0×	93 1.4×	35 1.0×	19	534
Elnaz Lashgari United States	4	191 1.1×	41 0.4×	40 0.6×	52 0.8×	36 1.0×	8	289
Trilok Chand India	7	199 1.2×	45 0.4×	30 0.4×	65 1.0×	26 0.7×	19	373
Sofiane Boudaoud France	12	225 1.3×	328 3.1×	75 1.1×	42 0.6×	19 0.5×	46	479
Phattarapong Sawangjai Thailand	6	299 1.8×	52 0.5×	58 0.8×	55 0.8×	39 1.1×	10	402

Countries citing papers authored by Michaela Šidiková

Since Specialization

Citations

This map shows the geographic impact of Michaela Šidiková'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 Michaela Šidiková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Šidiková more than expected).

Fields of papers citing papers by Michaela Šidiková

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela Šidiková. 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 Michaela Šidiková. The network helps show where Michaela Šidiková may publish in the future.

Co-authorship network of co-authors of Michaela Šidiková

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Šidiková. A scholar is included among the top collaborators of Michaela Šidiková 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 Michaela Šidiková. Michaela Šidiková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Martínek, Radek, Martina Ládrová, Michaela Šidiková, et al.. (2021). Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals. Sensors. 21(15). 5186–5186. 47 indexed citations

Martínek, Radek, Martina Ládrová, Michaela Šidiková, et al.. (2021). Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals. Sensors. 21(18). 6064–6064. 48 indexed citations

Martínek, Radek, Martina Ládrová, Michaela Šidiková, et al.. (2021). Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals. Sensors. 21(19). 6343–6343. 29 indexed citations

Kawala‐Sterniuk, Aleksandra, Mariusz Pelc, Jarosław Zygarlicki, et al.. (2021). Summary of over Fifty Years with Brain-Computer Interfaces—A Review. Brain Sciences. 11(1). 43–43. 146 indexed citations

Šidiková, Michaela, Radek Martínek, Aleksandra Kawala‐Sterniuk, et al.. (2020). Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review. Sensors. 20(19). 5699–5699. 33 indexed citations

Šidiková, Michaela, Radek Martínek, Martina Ládrová, et al.. (2019). Inspection of the Cogwheel Using Virtual Instrumentation. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 67(6). 1493–1501. 1 indexed citations

Jaroš, René, Radek Martínek, Radana Kahánková, et al.. (2019). Optimization of RLS Algorithm for Hybrid Method ICA-RLS. IFAC-PapersOnLine. 52(27). 530–535. 2 indexed citations

Šidiková, Michaela, et al.. (2019). Adaptive fetal ECG signal extraction based on LabVIEW and C# implementation. IFAC-PapersOnLine. 52(27). 359–364. 1 indexed citations

Ládrová, Martina, Michaela Šidiková, Radek Martínek, René Jaroš, & Petr Bilík. (2019). Elimination of Interference in Phonocardiogram Signal Based on Wavelet Transform and Empirical Mode Decomposition. IFAC-PapersOnLine. 52(27). 440–445. 11 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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