Damian Ledziński

495 total citations
25 papers, 290 citations indexed

About

Damian Ledziński is a scholar working on Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Damian Ledziński has authored 25 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Damian Ledziński's work include ECG Monitoring and Analysis (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Damian Ledziński is often cited by papers focused on ECG Monitoring and Analysis (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Damian Ledziński collaborates with scholars based in Poland, Denmark and Malaysia. Damian Ledziński's co-authors include Krzysztof Pałczyński, Piotr Bełdowski, Adam Gadomski, Wayne K. Augé, Tomasz Andrysiak, Ahmed Patel, Muhammad Riaz, Jens Myrup Pedersen, Piotr Cofta and Joaquim Celestino and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Damian Ledziński

21 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Damian Ledziński Poland	9	141	101	47	37	33	25	290
Prateek Singh India	8	87 0.6×	47 0.5×	39 0.8×	33 0.9×	23 0.7×	29	277
Richard Houben Netherlands	16	1.0k 7.2×	61 0.6×	104 2.2×	12 0.3×	16 0.5×	37	1.1k
Qingsong Liu China	8	101 0.7×	113 1.1×	94 2.0×	14 0.4×	41 1.2×	30	335
Krzysztof Pałczyński Poland	8	141 1.0×	100 1.0×	47 1.0×	33 0.9×	30 0.9×	15	276
Damla Kuntalp Türkiye	7	250 1.8×	232 2.3×	91 1.9×	64 1.7×	34 1.0×	21	355
Dongyi Chen China	10	100 0.7×	50 0.5×	186 4.0×	17 0.5×	11 0.3×	49	348
Ruixia Liu China	9	139 1.0×	69 0.7×	67 1.4×	32 0.9×	65 2.0×	21	271
Yongfeng Yuan China	12	386 2.7×	230 2.3×	118 2.5×	69 1.9×	48 1.5×	48	578
Kedar Aras United States	13	268 1.9×	32 0.3×	25 0.5×	7 0.2×	7 0.2×	22	382

Countries citing papers authored by Damian Ledziński

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Damian Ledziński

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

All Works

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20 of 20 papers shown

Przybyłek, Maciej, Piotr Bełdowski, Damian Ledziński, et al.. (2024). Molecular Insights into the Interactions Between Human Serum Albumin and Phospholipid Membranes. Applied Sciences. 14(24). 11753–11753. 3 indexed citations

Przybyłek, Maciej, et al.. (2024). Effect of Nanohydroxyapatite on Silk Fibroin–Chitosan Interactions—Molecular Dynamics Study. Applied Sciences. 14(10). 4131–4131. 1 indexed citations

Ledziński, Damian, et al.. (2024). The ECG Signal Monitoring System Using Machine Learning Methods and LoRa Technology. Pomiary Automatyka Robotyka. 28(2). 21–36.

Pałczyński, Krzysztof, et al.. (2023). The impact of the number of high temporal resolution water meters on the determinism of water consumption in a district metered area. Scientific Reports. 13(1). 18921–18921. 1 indexed citations

Pałczyński, Krzysztof, et al.. (2021). Deep Learning Techniques in the Classification of ECG Signals Using R-Peak Detection Based on the PTB-XL Dataset. Sensors. 21(24). 8174–8174. 34 indexed citations

Pałczyński, Krzysztof, et al.. (2021). ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset. Entropy. 23(9). 1121–1121. 80 indexed citations

Pałczyński, Krzysztof, et al.. (2021). IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification. Sensors. 21(23). 8025–8025. 21 indexed citations

Cofta, Piotr, et al.. (2020). Cross-Entropy as a Metric for the Robustness of Drone Swarms. Entropy. 22(6). 597–597. 10 indexed citations

Bełdowski, Piotr, et al.. (2020). Changes of Conformation in Albumin with Temperature by Molecular Dynamics Simulations. Entropy. 22(4). 405–405. 4 indexed citations

10.

Ledziński, Damian, et al.. (2018). Analyzing methods of network topologies based on chordal rings. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 26(3). 1 indexed citations

11.

Andrysiak, Tomasz, et al.. (2018). Hyaluronan-Chondroitin Sulfate Anomalous Crosslinking Due to Temperature Changes. Polymers. 10(5). 560–560. 12 indexed citations

12.

Ledziński, Damian, et al.. (2017). Analysis of the Possibility of Emission Reduction for Complex WSN Networks by the Implementation of a Larger Number of Acquisition Nodes. 22(2). 39–48.

13.

Ledziński, Damian, et al.. (2015). Task Scheduling Algorithms for Multi-Carrying Robots. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 237. 189–194. 1 indexed citations

14.

Ledziński, Damian, et al.. (2014). Robot Actions Planning Algorithms in Multi-Agent System. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 223. 221–230. 2 indexed citations

15.

Ledziński, Damian, et al.. (2014). Innovative Optical System for the Inspection of Manufacturing Processes Using the Wavelet Approach. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 223. 291–298.

16.

Pedersen, Jens Myrup, et al.. (2013). Using latency as a QoS indicator for global cloud computing services. Concurrency and Computation Practice and Experience. 25(18). 2488–2500. 5 indexed citations

17.

Ledziński, Damian, et al.. (2012). Sieci teleinformatyczne przeznaczone do zarządzania dystrybucją energii elektrycznej. Rynek Energii. 8. 594–8. 2 indexed citations

18.

Pedersen, Jens Myrup, et al.. (2012). A Survey on Chordal Rings, N2R and Other Related Topologies. 17(3). 63–70. 1 indexed citations

19.

Ledziński, Damian, et al.. (2012). Modified NDR Structures. 17(3). 29–45. 2 indexed citations

20.

Ledziński, Damian, et al.. (2010). Evaluation of modified degree 5 chordal rings for network topologies. VBN Forskningsportal (Aalborg Universitet). lxxxi. 60–65. 4 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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