S. Armstrong

1.3k total citations · 1 hit paper
16 papers, 984 citations indexed

About

S. Armstrong is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Artificial Intelligence. According to data from OpenAlex, S. Armstrong has authored 16 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Artificial Intelligence. Recurrent topics in S. Armstrong's work include Photovoltaic System Optimization Techniques (6 papers), HVDC Systems and Fault Protection (5 papers) and Solar Radiation and Photovoltaics (4 papers). S. Armstrong is often cited by papers focused on Photovoltaic System Optimization Techniques (6 papers), HVDC Systems and Fault Protection (5 papers) and Solar Radiation and Photovoltaics (4 papers). S. Armstrong collaborates with scholars based in Ireland, United States and France. S. Armstrong's co-authors include W.G. Hurley, Martin Glavin, Eduardo Cotilla‐Sanchez, Hamid Ben Ahmed, Bernard Multon, Anne Blavette, Raymond Alcorn, Eider Robles, Alice Kai and Saraswati Pokharel and has published in prestigious journals such as Renewable Energy, Applied Thermal Engineering and International Journal of Electrical Power & Energy Systems.

In The Last Decade

S. Armstrong

15 papers receiving 931 citations

Hit Papers

align trajectories

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.

A thermal model for photovoltaic panels under varying atmospheric conditions

2010 501 citations S. Armstrong, W.G. Hurley Applied Thermal Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Armstrong Ireland	9	644	462	298	195	165	16	984
Messaoud Hamouda Algeria	12	417 0.6×	351 0.8×	187 0.6×	93 0.5×	121 0.7×	50	665
Monirul Islam Malaysia	18	1.1k 1.8×	853 1.8×	212 0.7×	47 0.2×	464 2.8×	28	1.7k
Zakariya Dalala Jordan	15	206 0.3×	1.0k 2.2×	71 0.2×	321 1.6×	327 2.0×	47	1.3k
Ashraf Ahmed South Korea	16	224 0.3×	783 1.7×	43 0.1×	90 0.5×	307 1.9×	65	1.0k
Miralem Hadžiselimović Slovenia	17	216 0.3×	581 1.3×	216 0.7×	41 0.2×	290 1.8×	75	880
Karthikeyan Velmurugan Thailand	15	406 0.6×	162 0.4×	89 0.3×	49 0.3×	48 0.3×	28	580
Ragi A. Hamdy Egypt	17	110 0.2×	745 1.6×	56 0.2×	199 1.0×	370 2.2×	104	944
Nizar F.O. Al-Muhsen Iraq	7	212 0.3×	191 0.4×	87 0.3×	36 0.2×	40 0.2×	23	489
Muhamad Zalani Daud Malaysia	12	151 0.2×	236 0.5×	62 0.2×	80 0.4×	169 1.0×	34	497
Sathans Suhag India	14	154 0.2×	625 1.4×	61 0.2×	191 1.0×	438 2.7×	46	945

Countries citing papers authored by S. Armstrong

Since Specialization

Citations

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

Fields of papers citing papers by S. Armstrong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Armstrong

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Armstrong, S., Alice Kai, Scott Doyle, et al.. (2024). Dynamic-threshold template matching with autodidactic enhancement algorithm for ischemic myocardial scar classification. 91–91.

Armstrong, S., Alice Kai, Scott Doyle, et al.. (2024). Lightweight preprocessing and template matching facilitate streamlined ischemic myocardial scar classification. Journal of Medical Imaging. 11(2). 24503–24503. 1 indexed citations

Armstrong, S., et al.. (2016). Wave farm flicker severity: Comparative analysis and solutions. Renewable Energy. 91. 32–39. 18 indexed citations

Armstrong, S., et al.. (2016). Survey on demand side sensitivity to power quality in Ireland. International Journal of Electrical Power & Energy Systems. 83. 495–504. 8 indexed citations

Armstrong, S., et al.. (2015). Assessing the Impact of the Grid-Connected Pacific Marine Energy Center Wave Farm. IEEE Journal of Emerging and Selected Topics in Power Electronics. 3(4). 1011–1020. 27 indexed citations

Armstrong, S., et al.. (2015). Lessons learned using electrical research test infrastructures to address the electrical challenges faced by ocean energy developers. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 12. 46–62. 3 indexed citations

Armstrong, S., et al.. (2014). Effect of wave farm aggregation on power system stability. 1–6. 7 indexed citations

Armstrong, S., et al.. (2012). An initialisation methodology for ocean energy converter dynamic models in power system simulation tools. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 1 indexed citations

Armstrong, S. & W.G. Hurley. (2010). A thermal model for photovoltaic panels under varying atmospheric conditions. Applied Thermal Engineering. 30(11-12). 1488–1495. 501 indexed citations breakdown →

10.

Armstrong, S. & W.G. Hurley. (2010). Response to comments by E. Sartori on “A thermal model for PV panels under varying atmospheric conditions”, by S. Armstrong and W.G. Hurley, Applied Thermal Engineering 30, 1388–1395 (2010). Applied Thermal Engineering. 31(2-3). 402–402. 2 indexed citations

11.

Armstrong, S. & W.G. Hurley. (2009). A new methodology to optimise solar energy extraction under cloudy conditions. Renewable Energy. 35(4). 780–787. 107 indexed citations

12.

Armstrong, S., Martin Glavin, & W.G. Hurley. (2008). Comparison of battery charging algorithms for stand alone photovoltaic systems. PESC record. 1469–1475. 53 indexed citations

13.

Glavin, Martin, et al.. (2008). A stand-alone photovoltaic supercapacitor battery hybrid energy storage system. 1688–1695. 193 indexed citations

14.

Armstrong, S. & W.G. Hurley. (2006). Investigating the Effectiveness of Maximum Power Point Tracking for a Solar System. 44. 204–209. 19 indexed citations

15.

Armstrong, S., et al.. (2005). Investigation of the harmonic response of a photovoltaic system with a solar emulator. 1. 8 pp.–P.8. 25 indexed citations

16.

Armstrong, S. & W.G. Hurley. (2004). Self-regulating maximum power point tracking for solar energy systems. International Universities Power Engineering Conference. 2. 604–609. 19 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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