Jacek Dybała

1.1k total citations · 1 hit paper
22 papers, 841 citations indexed

About

Jacek Dybała is a scholar working on Mechanical Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Jacek Dybała has authored 22 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 7 papers in Control and Systems Engineering and 6 papers in Automotive Engineering. Recurrent topics in Jacek Dybała's work include Machine Fault Diagnosis Techniques (7 papers), Advancements in Materials Engineering (4 papers) and Fault Detection and Control Systems (3 papers). Jacek Dybała is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Advancements in Materials Engineering (4 papers) and Fault Detection and Control Systems (3 papers). Jacek Dybała collaborates with scholars based in Poland and China. Jacek Dybała's co-authors include S. Radkowski, Radosław Zimroz, Szymon Gontarz, Yaguo Lei, Naipeng Li, Jing Lin, Przemysław Szulim, J. Mączak, Aldona Kluczek and Jakub Możaryn and has published in prestigious journals such as Mechanical Systems and Signal Processing, Transportation Research Part C Emerging Technologies and Applied Sciences.

In The Last Decade

Jacek Dybała

21 papers receiving 805 citations

Hit Papers

A Model-Based Method for Remaining Useful Life Prediction... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Model-Based Method for Remaining Useful Life Prediction of Machinery
    2016 481 citations Yaguo Lei, Naipeng Li et al. IEEE Transactions on Reliability profile →

Peers

Jacek Dybała
S. Radkowski Poland
Szymon Gontarz Poland
Gang Yu China
Seokgoo Kim South Korea
Yizhen Peng China
Yuning Qian China
Shaopeng Dong China
Yaqiang Sun China
Jianghong Zhou China
S. Radkowski Poland
Jacek Dybała
Citations per year, relative to Jacek Dybała Jacek Dybała (= 1×) peers S. Radkowski

Countries citing papers authored by Jacek Dybała

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Dybała

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Dybała

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

All Works

20 of 20 papers shown
1.
Dybała, Jacek, et al.. (2024). OffRoadSynth Open Dataset for Semantic Segmentation using Synthetic-Data-Based Weight Initialization for Autonomous UGV in Off-Road Environments. Journal of Intelligent & Robotic Systems. 110(2). 2 indexed citations
2.
3.
Dybała, Jacek, et al.. (2023). Concept of Virtual Reality Training of Facility Management Employees Using Eye Tracking. Applied Sciences. 13(10). 5868–5868. 1 indexed citations
4.
Chmielewski, Adrian, et al.. (2020). Comparison of hybrid recurrent neural networks and dual‐polarization models of valve regulated lead acid battery. International Journal of Energy Research. 45(2). 2560–2580. 4 indexed citations
5.
Dybała, Jacek. (2018). Diagnosing of rolling-element bearings using amplitude level-based decomposition of machine vibration signal. Measurement. 126. 143–155. 24 indexed citations
6.
Dybała, Jacek, et al.. (2017). Diagnostics of welded joints using passive and active magnetic methods. Diagnostyka. 18(4). 51–59. 3 indexed citations
7.
Dybała, Jacek, et al.. (2017). Driver drowsiness detection systems. 9 indexed citations
8.
Lei, Yaguo, Naipeng Li, Szymon Gontarz, et al.. (2016). A Model-Based Method for Remaining Useful Life Prediction of Machinery. IEEE Transactions on Reliability. 65(3). 1314–1326. 481 indexed citations breakdown →
9.
Dybała, Jacek, et al.. (2015). Zastosowanie metody Magnetycznej Pamięci Metalu w diagnostyce obiektów technicznych. 63–80. 3 indexed citations
10.
Gontarz, Szymon, et al.. (2015). Use of magnetic monitoring of vehicles for proactive strategy development. Transportation Research Part C Emerging Technologies. 52. 102–115. 24 indexed citations
11.
Dybała, Jacek & Radosław Zimroz. (2013). Empirical Mode Decomposition of Vibration Signal for Detection of Local Disturbances in Planetary Gearbox Used in Heavy Machinery System. Key engineering materials. 588. 109–116. 3 indexed citations
12.
Dybała, Jacek & Radosław Zimroz. (2013). Rolling bearing diagnosing method based on Empirical Mode Decomposition of machine vibration signal. Applied Acoustics. 77. 195–203. 176 indexed citations
13.
Dybała, Jacek, et al.. (2012). Badanie właściwości sterowanego tłumika piezoelektrycznego. Pomiary, Automatyka, Kontrola. 879–882.
14.
Dybała, Jacek & S. Radkowski. (2012). Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles. Mechanical Systems and Signal Processing. 38(1). 125–136. 55 indexed citations
15.
Dybała, Jacek. (2009). Comparative analysis of support vector machine and nearest boundary vector classifier. 963–965. 1 indexed citations
16.
Dybała, Jacek, et al.. (2008). Doppler's effect as diagnostic information in the acoustic signal. Diagnostyka. 67–77. 1 indexed citations
17.
Dybała, Jacek, et al.. (2008). Verification of Doppler effect removal method for the needs of pass-by railway condition monitoring system. Diagnostyka. 48(4). 5–8. 13 indexed citations
18.
Dybała, Jacek. (2008). Use of task-oriented dynamic resampling in reduction of signal non-stationarity. Diagnostyka. 25–30. 5 indexed citations
19.
Dybała, Jacek & S. Radkowski. (2005). Geometrical method of selection of features of diagnostic signals. Mechanical Systems and Signal Processing. 21(2). 761–779. 10 indexed citations
20.
Dybała, Jacek & S. Radkowski. (1998). Failure Diagnosis with the Use of Neural Classifier. Machine Dynamics Problems. 19. 29–44. 1 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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