Simon Rowland

3.2k total citations
209 papers, 2.5k citations indexed

About

Simon Rowland is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, Simon Rowland has authored 209 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Electrical and Electronic Engineering, 161 papers in Materials Chemistry and 69 papers in Astronomy and Astrophysics. Recurrent topics in Simon Rowland's work include High voltage insulation and dielectric phenomena (160 papers), Power Transformer Diagnostics and Insulation (93 papers) and Lightning and Electromagnetic Phenomena (69 papers). Simon Rowland is often cited by papers focused on High voltage insulation and dielectric phenomena (160 papers), Power Transformer Diagnostics and Insulation (93 papers) and Lightning and Electromagnetic Phenomena (69 papers). Simon Rowland collaborates with scholars based in United Kingdom, China and Chile. Simon Rowland's co-authors include S. Bahadoorsingh, Roger Schurch, Hualong Zheng, Ibrahim Iddrissu, Zepeng Lv, Konstantinos Kopsidas, L. A. Dissado, A. Tzimas, Qi Li and J.A.L. Robertson and has published in prestigious journals such as Circulation, Journal of Materials Chemistry A and IEEE Access.

In The Last Decade

Simon Rowland

200 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Rowland United Kingdom 29 1.9k 1.9k 672 498 360 209 2.5k
Wenxia Sima China 27 1.5k 0.8× 2.0k 1.1× 680 1.0× 545 1.1× 289 0.8× 221 2.8k
Youping Tu China 23 1.3k 0.7× 1.2k 0.6× 347 0.5× 276 0.6× 306 0.8× 152 1.8k
Qiaogen Zhang China 23 1.4k 0.7× 1.9k 1.0× 342 0.5× 616 1.2× 173 0.5× 310 2.8k
H. Ōkubo Japan 30 2.5k 1.3× 2.4k 1.3× 687 1.0× 520 1.0× 559 1.6× 288 3.6k
Mona Ghassemi United States 27 1.1k 0.6× 1.9k 1.0× 427 0.6× 855 1.7× 197 0.5× 165 2.6k
J.J. Smit Netherlands 30 2.8k 1.5× 2.5k 1.3× 695 1.0× 455 0.9× 820 2.3× 262 3.8k
Xiangrong Chen China 22 1.1k 0.6× 775 0.4× 235 0.3× 147 0.3× 509 1.4× 125 1.5k
Haibao Mu China 24 1.1k 0.6× 1.3k 0.7× 278 0.4× 115 0.2× 228 0.6× 167 1.7k
Giovanni Mazzanti Italy 36 3.8k 2.0× 3.5k 1.9× 1.1k 1.7× 1.1k 2.2× 821 2.3× 276 4.8k
J.C. Fothergill United Kingdom 32 3.6k 1.9× 2.6k 1.4× 768 1.1× 235 0.5× 1.8k 5.0× 141 4.5k

Countries citing papers authored by Simon Rowland

Since Specialization
Citations

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

Fields of papers citing papers by Simon Rowland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Rowland

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Rowland. A scholar is included among the top collaborators of Simon Rowland 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 Simon Rowland. Simon Rowland 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.
Liu, Fang, et al.. (2022). Electrical Tree Initiation and Growth in LDPE Under Negative HVDC Superimposed With AC Ripples. IEEE Transactions on Dielectrics and Electrical Insulation. 29(6). 2147–2154. 1 indexed citations
2.
Liu, Fang, et al.. (2022). Electrical Tree Growth in LDPE: Fine Channel Development During Negative DC Ramp Down. IEEE Transactions on Dielectrics and Electrical Insulation. 29(3). 1218–1220. 5 indexed citations
3.
Rowland, Simon, et al.. (2022). HVDC Cables and the Influence of Transient Temperature Changes. 9–12. 1 indexed citations
4.
Liu, Fang, et al.. (2022). The Impact of Superimposing Negative HVDC on AC Electrical Tree Growth in LDPE. Research Explorer (The University of Manchester). 345–348. 1 indexed citations
5.
Liu, Fang, et al.. (2022). Tree Growth in Epoxy Resin Under Unipolar and Bipolar Square-Wave Voltages. Research Explorer (The University of Manchester). 431–434. 1 indexed citations
6.
Rowland, Simon, et al.. (2021). Tracking and fracturing in epoxy resin due to partial discharges in artificial voids. Research Explorer (The University of Manchester). 101–104. 2 indexed citations
7.
Rowland, Simon, et al.. (2020). The Importance of Scale in Testing for Electrical Tree Growth. 443–446. 1 indexed citations
8.
Lv, Zepeng, et al.. (2020). Electrical tree growth in microsilica-filled epoxy resin. IEEE Transactions on Dielectrics and Electrical Insulation. 27(3). 820–828. 15 indexed citations
9.
Zhang, Xin, et al.. (2018). The Development of Low-Current Surface Arcs Under Clean and Salt-Fog Conditions in Electricity Distribution Networks. IEEE Access. 6. 15835–15843. 11 indexed citations
10.
Rowland, Simon, et al.. (2018). Chemical Analysis of Solid Insulation Degradation using the AFM-IR Technique. 2018 IEEE 2nd International Conference on Dielectrics (ICD). 1–4. 2 indexed citations
11.
Iddrissu, Ibrahim, Zepeng Lv, & Simon Rowland. (2016). The dynamic character of partial discharge in epoxy resin at different stages of treeing. Research Explorer (The University of Manchester). 728–731. 32 indexed citations
12.
Catterson, Victoria M., et al.. (2014). Prognostic modeling for electrical treeing in solid insulation using pulse sequence analysis. Research Explorer (The University of Manchester). 373–376. 6 indexed citations
13.
Li, Qi, Simon Rowland, & R. Shuttleworth. (2014). Calculating the Surface Potential Gradient of Overhead Line Conductors. IEEE Transactions on Power Delivery. 30(1). 43–52. 34 indexed citations
14.
Li, Qi, et al.. (2012). FEA modelling of a water droplet vibrating in an electric field. Research Explorer (The University of Manchester). 449–453. 12 indexed citations
15.
Tzimas, A., et al.. (2012). Asset management frameworks for outdoor composite insulators. IEEE Transactions on Dielectrics and Electrical Insulation. 19(6). 2044–2054. 12 indexed citations
16.
Rowland, Simon, Xin Zhang, & Vladimir Terzija. (2009). Modelling of dry-band arc compression. Circulation. 29. 680–7. 3 indexed citations
17.
Rowland, Simon, et al.. (2007). Measurement and prediction of microshock currents and voltages in an HV laboratory. Research Explorer (The University of Manchester). 183–188. 4 indexed citations
18.
Rowland, Simon, et al.. (2005). The installation of a system on an all-dielectric self-supporting cable to prevent failure through dry-band arcing on HV transmission lines. Research Explorer (The University of Manchester). 1 indexed citations
19.
Rowland, Simon, et al.. (1996). Effects of dry-band arc current on ageingof self-supportingdielectric cables in high fields. IEE Proceedings - Science Measurement and Technology. 143(1). 10–14. 18 indexed citations
20.
Rowland, Simon, et al.. (1988). The evaluation of sheathing materials for an all dielectric self-supporting communication cable, for use on long span, overhead power lines. Research Explorer (The University of Manchester). 77–80. 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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