Damian Ledziński
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- ECG Monitoring and Analysis 4
- Co-authors
- Sandra Śmigiel (10 shared papers)Krzysztof Pałczyński (6 shared papers)Piotr Bełdowski (6 shared papers)Adam Gadomski (3 shared papers)Wayne K. Augé (2 shared papers)Tomasz Andrysiak (5 shared papers)Ahmed Patel (2 shared papers)Muhammad Riaz (3 shared papers)
In The Last Decade
Damian Ledziński
22 papers receiving 289 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 148
- Cognitive Neuroscience 100
- Molecular Medicine 8
- Cell Biology 26
- Health Information Management 7
Countries citing papers authored by Damian Ledziński
This map shows the geographic impact of Damian Ledziński'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 Damian Ledziński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damian Ledziński more than expected).
Fields of papers citing papers by Damian Ledziński
This network shows the impact of papers produced by Damian Ledziński. 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 Damian Ledziński. The network helps show where Damian Ledziński may publish in the future.
Co-authors
The 21 scholars most cited alongside Damian Ledziński, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2022 | 41 | |
| 3 | 2021 | 37 | |
| 4 | 2017 | 33 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 16 | |
| 7 | 2011 | 16 | |
| 8 | 2018 | 13 | |
| 9 | 2020 | 10 | |
| 10 | 2013 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2010 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2014 | 2 | |
| 15 | 2022 | 2 | |
| 16 | Sieci teleinformatyczne przeznaczone do zarządzania dystrybucją energii elektrycznej | 2012 | 2 |
| 17 | 2012 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2012 | 1 |
About Damian Ledziński
Damian Ledziński is a scholar working on Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Molecular Biology, having authored 25 papers that have together received 305 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), EEG and Brain-Computer Interfaces (3 papers), Digital Imaging for Blood Diseases (2 papers), Graph theory and applications (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (148 citations), Cognitive Neuroscience (100 citations), Molecular Medicine (8 citations), Cell Biology (26 citations) and Health Information Management (7 citations). Damian Ledziński has collaborated with scholars based in Poland, Denmark and Malaysia. Frequent co-authors include Sandra Śmigiel, Krzysztof Pałczyński, Piotr Bełdowski, Adam Gadomski, Wayne K. Augé, Tomasz Andrysiak, Ahmed Patel, Muhammad Riaz, Jens Myrup Pedersen and Piotr Cofta. Their work appears in journals such as Sensors, Applied Sciences, Molecules, Polymers and International Journal of Molecular 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.