P. Ewert

468 total citations · 1 hit paper
21 papers, 330 citations indexed

About

P. Ewert is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, P. Ewert has authored 21 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 16 papers in Control and Systems Engineering and 9 papers in Mechanics of Materials. Recurrent topics in P. Ewert's work include Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (9 papers) and Engineering Diagnostics and Reliability (8 papers). P. Ewert is often cited by papers focused on Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (9 papers) and Engineering Diagnostics and Reliability (8 papers). P. Ewert collaborates with scholars based in Poland and United States. P. Ewert's co-authors include C. T. Kowalski, Teresa Orłowska-Kowalska, Marcin Wolkiewicz, Przemysław Pietrzak, Maciej Skowron, Grzegorz Tarchała, Tomasz Pajchrowski and Marek Kraft and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.

In The Last Decade

P. Ewert

14 papers receiving 303 citations

Hit Papers

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives... 2022 2026 2023 2024 2022 50 100 150
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. Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges
    2022 160 citations Teresa Orłowska-Kowalska, Marcin Wolkiewicz et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Ewert Poland 9 266 150 127 78 19 21 330
Hakima Cherif Algeria 12 299 1.1× 142 0.9× 129 1.0× 105 1.3× 25 1.3× 15 358
Przemysław Pietrzak Poland 9 320 1.2× 143 1.0× 168 1.3× 89 1.1× 38 2.0× 14 392
Ahcène Bouzida Algeria 5 266 1.0× 152 1.0× 101 0.8× 89 1.1× 20 1.1× 17 336
Tarek Ameid Algeria 12 317 1.2× 126 0.8× 183 1.4× 90 1.2× 12 0.6× 22 405
Hicham Talhaoui Algeria 12 326 1.2× 154 1.0× 131 1.0× 124 1.6× 14 0.7× 23 389
Ioannis D. Chasiotis Greece 12 181 0.7× 101 0.7× 181 1.4× 42 0.5× 38 2.0× 29 305
Z. J. Khan India 6 270 1.0× 165 1.1× 117 0.9× 58 0.7× 31 1.6× 22 341
K. Yahia Algeria 11 219 0.8× 101 0.7× 193 1.5× 44 0.6× 36 1.9× 25 323
Grzegorz Tarchała Poland 11 433 1.6× 145 1.0× 465 3.7× 62 0.8× 34 1.8× 42 640
Smaïl Bachir France 7 220 0.8× 89 0.6× 136 1.1× 39 0.5× 21 1.1× 21 301

Countries citing papers authored by P. Ewert

Since Specialization
Citations

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

Fields of papers citing papers by P. Ewert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Ewert

This figure shows the co-authorship network connecting the top 25 collaborators of P. Ewert. A scholar is included among the top collaborators of P. Ewert 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 P. Ewert. P. Ewert 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.
Ewert, P., et al.. (2024). Application of the STFT for Detection of the Rotor Unbalance of a Servo-Drive System with an Elastic Interconnection. Electronics. 13(2). 441–441. 3 indexed citations
2.
Pajchrowski, Tomasz, et al.. (2023). Unraveling Induction Motor State through Thermal Imaging and Edge Processing: A Step towards Explainable Fault Diagnosis. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 25(3). 9 indexed citations
3.
4.
Orłowska-Kowalska, Teresa, Marcin Wolkiewicz, Przemysław Pietrzak, et al.. (2022). Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges. IEEE Access. 10. 59979–60024. 160 indexed citations breakdown →
5.
Ewert, P., et al.. (2021). Effectiveness Analysis of Rolling Bearing Fault Detectors Based On Self-Organising Kohonen Neural Network – A Case Study of PMSM Drive. SHILAP Revista de lepidopterología. 6(1). 100–112. 5 indexed citations
6.
Ewert, P., et al.. (2021). Application of selected higher-order methods to detect rotor unbalance of drive system with PMSM. 20. 874–879. 5 indexed citations
7.
8.
Ewert, P., C. T. Kowalski, & Teresa Orłowska-Kowalska. (2020). Low-Cost Monitoring and Diagnosis System for Rolling Bearing Faults of the Induction Motor Based on Neural Network Approach. Electronics. 9(9). 1334–1334. 27 indexed citations
9.
10.
Ewert, P., et al.. (2019). Selected Rolling Bearing Fault Diagnostic Methods in Wheel Embedded Permanent Magnet Brushless Direct Current Motors. Energies. 12(21). 4212–4212. 14 indexed citations
11.
Ewert, P.. (2019). Application of Neural Networks and Axial Flux for the Detection of Stator and Rotor Faults of an Induction Motor. SHILAP Revista de lepidopterología. 4(1). 203–215. 8 indexed citations
12.
13.
Ewert, P.. (2017). Zastosowanie analizy falkowej do wykrywania uszkodzeń łożysk tocznych. PRZEGLĄD ELEKTROTECHNICZNY. 1(1). 307–312. 1 indexed citations
14.
Ewert, P., Marcin Wolkiewicz, & C. T. Kowalski. (2013). Komputerowy system do monitorowania stanu uzwojeń stojana silnika indukcyjnego. Maszyny Elektryczne : zeszyty problemowe. 151–156.
15.
Ewert, P., C. T. Kowalski, & Marcin Wolkiewicz. (2013). The application of wavelet analysis and neural networks in the diagnosis of rolling bearing faults in induction motors. PRZEGLĄD ELEKTROTECHNICZNY. 8 indexed citations
16.
Ewert, P.. (2012). Neuronowy detektor uszkodzeń łożysk tocznych silnika zasilanego z przemiennika częstotliwości. PRZEGLĄD ELEKTROTECHNICZNY. 70–75.
17.
Ewert, P. & C. T. Kowalski. (2011). Neuronowy detektor uszkodzeń łożysk tocznych. Maszyny Elektryczne : zeszyty problemowe. 205–210.
18.
Ewert, P., et al.. (2011). Monitorowanie niewyważenia wirników przy wykorzystaniu sygnałów prądu stojana i drgań w napędach z silnikami indukcyjnymi. 65. 169–178.
19.
Ewert, P., et al.. (2010). Zastosowanie modelu polowo-obwodowego do monitorowania ekscentryczności silników indukcyjnych. Maszyny Elektryczne : zeszyty problemowe. 161–166.
20.
Kowalski, C. T., Marcin Wolkiewicz, & P. Ewert. (2008). Analiza zwarć zwojowych stojana silnika indukcyjnego zasilanego z sieci i przemiennika częstotliwości. PRZEGLĄD ELEKTROTECHNICZNY. 64–67. 7 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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