Ian Laird

727 total citations
26 papers, 572 citations indexed

About

Ian Laird is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Ian Laird has authored 26 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 2 papers in Automotive Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Ian Laird's work include Silicon Carbide Semiconductor Technologies (20 papers), Advanced DC-DC Converters (17 papers) and Multilevel Inverters and Converters (14 papers). Ian Laird is often cited by papers focused on Silicon Carbide Semiconductor Technologies (20 papers), Advanced DC-DC Converters (17 papers) and Multilevel Inverters and Converters (14 papers). Ian Laird collaborates with scholars based in United Kingdom, Australia and Sweden. Ian Laird's co-authors include Xibo Yuan, Dylan Dah‐Chuan Lu, Andrew J. Forsyth, James Scoltock, Wenzhi Zhou, Vassilios G. Agelidis, H.C. Lovatt, N. Savvides, Jun Wang and Gerardo Calderón and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Vehicular Technology.

In The Last Decade

Ian Laird

25 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Laird United Kingdom 11 474 121 106 75 56 26 572
Itsda Boonyaroonate Thailand 10 265 0.6× 91 0.8× 80 0.8× 69 0.9× 40 0.7× 28 339
N.Y.A. Shammas United Kingdom 13 460 1.0× 142 1.2× 129 1.2× 12 0.2× 17 0.3× 37 581
J.-J. Huselstein France 6 608 1.3× 59 0.5× 21 0.2× 49 0.7× 42 0.8× 10 645
Johannes Falck Germany 8 639 1.3× 77 0.6× 20 0.2× 74 1.0× 45 0.8× 8 700
Daniel S. Christen Switzerland 8 460 1.0× 77 0.6× 27 0.3× 108 1.4× 8 0.1× 11 520
Michel Mermet-Guyennet France 14 634 1.3× 115 1.0× 25 0.2× 36 0.5× 20 0.4× 39 680
Sylvie Bégot France 10 176 0.4× 158 1.3× 56 0.5× 52 0.7× 71 1.3× 32 339
Lei Yuan China 10 170 0.4× 79 0.7× 69 0.7× 37 0.5× 13 0.2× 20 348
Pramod Ghimire Denmark 13 606 1.3× 109 0.9× 31 0.3× 41 0.5× 24 0.4× 25 649
Liting Li China 11 336 0.7× 68 0.6× 48 0.5× 64 0.9× 9 0.2× 36 424

Countries citing papers authored by Ian Laird

Since Specialization
Citations

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

Fields of papers citing papers by Ian Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Laird

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Laird. A scholar is included among the top collaborators of Ian Laird 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 Ian Laird. Ian Laird 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.
Wang, Kun, et al.. (2025). Efficiency-Oriented Multiobjective Modulation Optimization for the Dual Active Bridge Converter Using Fuzzy Logic-Aided Strategy. IEEE Transactions on Power Electronics. 40(12). 18133–18147.
2.
Wang, Kun, Ian Laird, & Jun Wang. (2025). Multi-Objective Efficiency-Oriented Optimization for DAB Converters Minimizing Current Stress and Backflow Power with Soft-Switching Assurance. Bristol Research (University of Bristol). 2088–2095. 1 indexed citations
3.
Wang, Jun, Lihong Xie, Xibo Yuan, Wenzhi Zhou, & Ian Laird. (2022). A 1200V DC-link Hybrid Si/SiC Four-level ANPC Inverter with Balanced Loss Distribution, $dv/dt$ and Cost. 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia). 2666–2672. 3 indexed citations
4.
Jahdi, Saeed, et al.. (2022). Analysis of 1st & 3rd Quadrant Electrothermal Robustness of Symmetrical and Asymmetrical Double- Trench SiC Power MOSFETs Under UIS. Bristol Research (University of Bristol). 1–6. 2 indexed citations
5.
Yuan, Xibo, Jun Wang, Ian Laird, & Wenzhi Zhou. (2021). Wide-Bandgap Device Enabled Multilevel Converters With Simplified Structures and Capacitor Voltage Balancing Capability. IEEE Open Journal of Power Electronics. 2. 414–423. 10 indexed citations
6.
Wang, Jun, Ian Laird, Xibo Yuan, & Wenzhi Zhou. (2021). A 1.2 kV 100 kW Four-level ANPC Inverter with SiC Power Modules and Capacitor Voltage Balance for EV Traction Applications. 5202–5209. 5 indexed citations
7.
Yuan, Xibo, et al.. (2020). Opportunities, Challenges, and Potential Solutions in the Application of Fast-Switching SiC Power Devices and Converters. IEEE Transactions on Power Electronics. 36(4). 3925–3945. 154 indexed citations
8.
Calderón, Gerardo, et al.. (2019). Power-Dense Bi-Directional DC–DC Converters With High-Performance Inductors. IEEE Transactions on Vehicular Technology. 68(12). 11439–11448. 35 indexed citations
9.
Zhou, Wenzhi, Xibo Yuan, & Ian Laird. (2019). Performance Comparison of the Auxiliary Resonant Commutated Pole Inverter (ARCPI) using SiC MOSFETs or Si IGBTs. Bristol Research (University of Bristol). 1981–1987. 12 indexed citations
11.
McNeill, Neville, et al.. (2019). Evaluation of the off-State Base-Emitter Voltage Requirement of the SiC BJT With a Regenerative Proportional Base Driver Circuit and Their Application in an Inverter. IEEE Transactions on Industrial Electronics. 67(9). 7179–7189. 3 indexed citations
12.
Laird, Ian, et al.. (2018). High Temperature Design Optimization of DC/AC Power Converters Using SiC BJTs. Bristol Research (University of Bristol). 1505–1512. 2 indexed citations
13.
Laird, Ian, et al.. (2017). Performance comparison of 3-phase DC/AC converters using SiC MOSFETs or SiC BJTs. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 1393–1398. 5 indexed citations
14.
Yuan, Xibo, et al.. (2016). Identification of the temporal source of frequency domain characteristics of SiC MOSFET based power converter waveforms. Bristol Research (University of Bristol). 1–8. 20 indexed citations
15.
Laird, Ian, Xibo Yuan, & Neville McNeill. (2015). A holistic approach to optimise the power density of a silicon carbide (SiC) MOSFET based three-phase inverter. 3. 473–478. 4 indexed citations
16.
Laird, Ian & Dylan Dah‐Chuan Lu. (2012). High Step-Up DC/DC Topology and MPPT Algorithm for Use With a Thermoelectric Generator. IEEE Transactions on Power Electronics. 28(7). 3147–3157. 125 indexed citations
17.
Laird, Ian & Dylan Dah‐Chuan Lu. (2011). SPICE steady state modelling of thermoelectric generators involving the Thomson effect. Explore Bristol Research. 1584–1589. 3 indexed citations
18.
Laird, Ian, Dylan Dah‐Chuan Lu, & Vassilios G. Agelidis. (2010). Switched-coupled-inductor DC/DC converters with high voltage conversion ratio. International Journal of Power Electronics. 2(4). 345–345. 1 indexed citations
19.
Laird, Ian, Dylan Dah‐Chuan Lu, & Vassilios G. Agelidis. (2009). High-gain switched-coupled-inductor boost converter. 423–428. 11 indexed citations
20.
Laird, Ian, H.C. Lovatt, N. Savvides, Dylan Dah‐Chuan Lu, & Vassilios G. Agelidis. (2008). Comparative study of maximum power point tracking algorithms for thermoelectric generators. Australasian Universities Power Engineering Conference. 1–6. 47 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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