Sandra Śmigiel
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Heart Rate Variability and Autonomic Control
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- ECG Monitoring and Analysis 5
- Heart Rate Variability and Autonomic Control 2
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- Damian Ledziński (10 shared papers)Krzysztof Pałczyński (4 shared papers)Piotr Bełdowski (2 shared papers)Adam Gadomski (1 shared paper)Wayne K. Augé (1 shared paper)Piotr Cofta (1 shared paper)Tomasz Andrysiak (1 shared paper)Maciej Przybyłek (1 shared paper)
- Journals
- Sensors (4 papers)Applied Sciences (1 paper)Molecules (1 paper)Entropy (2 papers)TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (1 paper)
- Partner nations
- PolandUnited StatesYemen
In The Last Decade
Sandra Śmigiel
11 papers receiving 244 citations
Peers
Comparison fields: 5 of 58
- Cardiology and Cardiovascular Medicine 161
- Cognitive Neuroscience 103
- Health Information Management 8
- Neurology 12
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Sandra Śmigiel
This map shows the geographic impact of Sandra Śmigiel'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 Sandra Śmigiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Śmigiel more than expected).
Fields of papers citing papers by Sandra Śmigiel
This network shows the impact of papers produced by Sandra Śmigiel. 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 Sandra Śmigiel. The network helps show where Sandra Śmigiel may publish in the future.
Co-authors
The 9 scholars most cited alongside Sandra Śmigiel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2022 | 41 | |
| 3 | 2021 | 37 | |
| 4 | 2017 | 33 | |
| 5 | 2021 | 21 | |
| 6 | 2022 | 16 | |
| 7 | 2020 | 10 | |
| 8 | Task scheduling algorithms for multi robot environment | 2014 | 2 |
| 9 | 2018 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Sandra Śmigiel
Sandra Śmigiel is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 12 papers that have together received 252 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (5 papers), EEG and Brain-Computer Interfaces (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Advanced Optical Network Technologies (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (161 citations), Cognitive Neuroscience (103 citations), Health Information Management (8 citations), Neurology (12 citations) and Computer Vision and Pattern Recognition (26 citations). Sandra Śmigiel has collaborated with scholars based in Poland, United States and Yemen. Frequent co-authors include Damian Ledziński, Krzysztof Pałczyński, Piotr Bełdowski, Adam Gadomski, Wayne K. Augé, Piotr Cofta, Tomasz Andrysiak, Maciej Przybyłek and Alina Sionkowska. Their work appears in journals such as Sensors, Applied Sciences, Molecules, Entropy and TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES.
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.