H.E.G. Powrie

1.3k total citations
39 papers, 1.0k citations indexed

About

H.E.G. Powrie is a scholar working on Mechanical Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, H.E.G. Powrie has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 13 papers in Mechanics of Materials and 11 papers in Electrical and Electronic Engineering. Recurrent topics in H.E.G. Powrie's work include Lubricants and Their Additives (19 papers), Gear and Bearing Dynamics Analysis (12 papers) and Machine Fault Diagnosis Techniques (8 papers). H.E.G. Powrie is often cited by papers focused on Lubricants and Their Additives (19 papers), Gear and Bearing Dynamics Analysis (12 papers) and Machine Fault Diagnosis Techniques (8 papers). H.E.G. Powrie collaborates with scholars based in United Kingdom, United States and Germany. H.E.G. Powrie's co-authors include R.J.K. Wood, Terry J. Harvey, Stephen Morris, Guy Denuault, L. Wang, Linping Wang, Jun Sun, Ping Lu, Martin Browne and Robert Callan and has published in prestigious journals such as Sensors, Mechanical Systems and Signal Processing and Wear.

In The Last Decade

H.E.G. Powrie

35 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.E.G. Powrie United Kingdom 20 671 355 282 192 146 39 1.0k
Wenru Fan China 13 237 0.4× 167 0.5× 208 0.7× 364 1.9× 109 0.7× 48 774
Pierre Granjon France 12 416 0.6× 131 0.4× 656 2.3× 431 2.2× 201 1.4× 31 1.1k
Jiufei Luo China 17 324 0.5× 74 0.2× 206 0.7× 202 1.1× 129 0.9× 59 717
Junhong Mao China 15 605 0.9× 191 0.5× 200 0.7× 111 0.6× 95 0.7× 46 756
Hyung‐Joon Bang South Korea 12 275 0.4× 349 1.0× 208 0.7× 292 1.5× 80 0.5× 27 1.0k
Salah Saad Algeria 17 117 0.2× 83 0.2× 271 1.0× 496 2.6× 135 0.9× 74 805
Yongmeng Liu China 17 433 0.6× 121 0.3× 115 0.4× 129 0.7× 92 0.6× 83 767
Jeong-Ho Kim South Korea 17 281 0.4× 1.1k 3.0× 60 0.2× 190 1.0× 70 0.5× 65 1.5k
Lawrence A. Bergman United States 21 289 0.4× 225 0.6× 317 1.1× 215 1.1× 217 1.5× 65 1.3k
Chuanbiao Zhang China 21 327 0.5× 100 0.3× 115 0.4× 701 3.7× 114 0.8× 76 1.3k

Countries citing papers authored by H.E.G. Powrie

Since Specialization
Citations

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

Fields of papers citing papers by H.E.G. Powrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.E.G. Powrie. 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 H.E.G. Powrie. The network helps show where H.E.G. Powrie may publish in the future.

Co-authorship network of co-authors of H.E.G. Powrie

This figure shows the co-authorship network connecting the top 25 collaborators of H.E.G. Powrie. A scholar is included among the top collaborators of H.E.G. Powrie 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 H.E.G. Powrie. H.E.G. Powrie 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.
2.
Lu, Zudi, et al.. (2024). A Generalised Intelligent Bearing Fault Diagnosis Model Based on a Two-Stage Approach. Machines. 12(1). 77–77. 6 indexed citations
3.
Lu, Ping, et al.. (2024). Charge pattern detection through electrostatic array sensing. Sensors and Actuators A Physical. 371. 115295–115295. 6 indexed citations
4.
5.
Lu, Ping, et al.. (2021). Early wear detection and its significance for condition monitoring. Tribology International. 159. 106946–106946. 55 indexed citations
6.
Svensén, Markus, et al.. (2018). Deep Neural Networks Analysis of Borescope Images. PHM Society European Conference. 4(1). 13 indexed citations
7.
Wood, R.J.K., et al.. (2010). Anomaly detection of the tapered roller bearings with statistical data-driven approaches. Insight - Non-Destructive Testing and Condition Monitoring. 52(8). 428–436. 4 indexed citations
8.
Wood, R.J.K., et al.. (2008). Wear detection of rolling element bearings using multiple-sensing technologies and mixture-model-based clustering method. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 222(2). 207–218. 10 indexed citations
9.
Wood, R.J.K., et al.. (2008). An integrated scheme for adaptation and updating of anomaly detection model. ePrints Soton (University of Southampton). 1 indexed citations
10.
Wood, R.J.K., et al.. (2007). Electrostatic charge – a novel condition monitoring technology. Head & Neck. 27(2). 138–49. 5 indexed citations
11.
12.
Powrie, H.E.G., et al.. (2006). Gas Path Debris Monitoring for F-35 Joint Strike Fighter Propulsion System PHM. 1–8. 56 indexed citations
13.
Wang, Linping, et al.. (2003). Wear performance of oil lubricated silicon nitride sliding against various bearing steels. Wear. 255(1-6). 657–668. 61 indexed citations
14.
Beet, S.W., H.E.G. Powrie, Roger K. Moore, & M. Tomlinson. (2003). Improved speech recognition using a reduced auditory representation. 93. 75–78.
15.
Morris, Stephen, R.J.K. Wood, Terry J. Harvey, & H.E.G. Powrie. (2003). Electrostatic charge monitoring of unlubricated sliding wear of a bearing steel. Wear. 255(1-6). 430–443. 47 indexed citations
16.
Powrie, H.E.G., R.J.K. Wood, Terry J. Harvey, L. Wang, & Stephen Morris. (2003). Electrostatic charge generation associated with machinery component deterioration. Proceedings - IEEE Aerospace Conference. 6. 6–2927. 20 indexed citations
17.
Powrie, H.E.G.. (2002). Use of electrostatic technology for aero engine oil system monitoring. 6. 57–72. 23 indexed citations
18.
Powrie, H.E.G., R.J.K. Wood, Terry J. Harvey, & Stephen Morris. (2001). Re-analysis of electrostatic wear-site sensor data from FZG gear scuffing tests. ePrints Soton (University of Southampton). 10 indexed citations
19.
Morris, Stephen, R.J.K. Wood, Terry J. Harvey, & H.E.G. Powrie. (2001). Use of Electrostatic Charge Monitoring for Early Detection of Adhesive Wear in Oil Lubricated Contacts. Journal of Tribology. 124(2). 288–296. 41 indexed citations
20.
Wood, R.J.K., et al.. (1999). Electrostatic monitoring of oil lubricated sliding point contacts for early detection of scuffing. Wear. 230(1). 86–97. 53 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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