T.J. Flack

646 total citations
23 papers, 531 citations indexed

About

T.J. Flack is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, T.J. Flack has authored 23 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 9 papers in Electronic, Optical and Magnetic Materials and 5 papers in Biomedical Engineering. Recurrent topics in T.J. Flack's work include Electric Motor Design and Analysis (13 papers), Magnetic Properties and Applications (9 papers) and Advanced DC-DC Converters (6 papers). T.J. Flack is often cited by papers focused on Electric Motor Design and Analysis (13 papers), Magnetic Properties and Applications (9 papers) and Advanced DC-DC Converters (6 papers). T.J. Flack collaborates with scholars based in United Kingdom, Australia and Denmark. T.J. Flack's co-authors include Weijia Yuan, Mark Ainslie, S. Williamson, Richard McMahon, P.J. Tavner, J.M. Maciejowski, Paul C. Roberts, Tim Coombs, Zhiyong Hong and Yu Jiang and has published in prestigious journals such as The Journal of Physical Chemistry C, IEEE Transactions on Industry Applications and Journal of Magnetism and Magnetic Materials.

In The Last Decade

T.J. Flack

22 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.J. Flack United Kingdom 9 448 178 146 145 140 23 531
Ruilin Pei China 14 410 0.9× 362 2.0× 281 1.9× 155 1.1× 192 1.4× 67 607
H. May Germany 10 174 0.4× 167 0.9× 97 0.7× 122 0.8× 102 0.7× 29 348
Konstantin Kovalev Russia 14 258 0.6× 293 1.6× 239 1.6× 78 0.5× 107 0.8× 61 483
Jin Fang China 15 493 1.1× 505 2.8× 334 2.3× 116 0.8× 163 1.2× 90 750
Kyeongdal Choi South Korea 15 500 1.1× 542 3.0× 399 2.7× 135 0.9× 125 0.9× 70 696
Alireza Sadeghi United Kingdom 11 177 0.4× 163 0.9× 148 1.0× 64 0.4× 55 0.4× 23 345
Yoon Do Chung South Korea 14 393 0.9× 239 1.3× 180 1.2× 114 0.8× 33 0.2× 55 531
Zunsong Ren China 10 170 0.4× 208 1.2× 97 0.7× 185 1.3× 116 0.8× 18 368
Roberto Oliveira Brazil 7 173 0.4× 236 1.3× 95 0.7× 194 1.3× 53 0.4× 30 335
Qunxu Lin China 8 164 0.4× 284 1.6× 110 0.8× 252 1.7× 55 0.4× 20 385

Countries citing papers authored by T.J. Flack

Since Specialization
Citations

This map shows the geographic impact of T.J. Flack'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 T.J. Flack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Flack more than expected).

Fields of papers citing papers by T.J. Flack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Flack. 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 T.J. Flack. The network helps show where T.J. Flack may publish in the future.

Co-authorship network of co-authors of T.J. Flack

This figure shows the co-authorship network connecting the top 25 collaborators of T.J. Flack. A scholar is included among the top collaborators of T.J. Flack 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 T.J. Flack. T.J. Flack 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.
Flack, T.J., et al.. (2022). Many-Particle Li Ion Dynamics in LiMPO4 Olivine Phosphates (M = Mn, Fe). The Journal of Physical Chemistry C. 126(30). 12339–12347. 10 indexed citations
2.
Ghosh, Saikat, et al.. (2019). Control Strategy for a Multiphase Lundell-Alternator/Active-Rectifier System in 14 V Automotive Power Systems. IEEE Transactions on Transportation Electrification. 5(2). 347–355. 3 indexed citations
3.
McMahon, Richard, et al.. (2019). Efficiency loss breakdown for synchronous rectification scheme for automotive applications. The Journal of Engineering. 2019(17). 3715–3719. 2 indexed citations
4.
Ghosh, Saikat, et al.. (2019). Benefits of the CI‐CCS converter. The Journal of Engineering. 2019(17). 4527–4531. 3 indexed citations
5.
Flack, T.J., et al.. (2017). Efficiency improvement and power loss breakdown for a Lundell-alternator/active-rectifier system in automotive applications. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 2264–2279. 2 indexed citations
6.
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8.
Chung, Yun-Yan, et al.. (2013). A novel high-torque-density and wide-speed-range hub motor for electric vehicle propulsion. 1–6. 3 indexed citations
9.
Ainslie, Mark, Weijia Yuan, & T.J. Flack. (2012). Numerical Analysis of AC Loss Reduction in HTS Superconducting Coils Using Magnetic Materials to Divert Flux. IEEE Transactions on Applied Superconductivity. 23(3). 4700104–4700104. 47 indexed citations
10.
Ainslie, Mark, et al.. (2011). An improved FEM model for computing transport AC loss in coils made of RABiTS YBCO coated conductors for electric machines. Superconductor Science and Technology. 24(4). 45005–45005. 110 indexed citations
11.
Ainslie, Mark, Yu Jiang, Zhiyong Hong, et al.. (2010). Numerical analysis and finite element modelling of an HTS synchronous motor. Physica C Superconductivity. 470(20). 1752–1755. 40 indexed citations
12.
Flack, T.J., et al.. (2005). Numerical analysis of the coupled circuit and cooling holes for an electromagnetic shaker. IEEE Transactions on Magnetics. 41(1). 47–54. 1 indexed citations
13.
Roberts, Paul C., Richard McMahon, P.J. Tavner, J.M. Maciejowski, & T.J. Flack. (2005). Equivalent circuit for the brushless doubly fed machine (BDFM) including parameter estimation and experimental verification. IEE Proceedings - Electric Power Applications. 152(4). 933–942. 157 indexed citations
14.
Wang, Rong‐Jie, et al.. (2002). Two-dimensional Cartesian air-gap element (CAGE) for dynamic finite-element modeling of electrical machines with a flat air gap. IEEE Transactions on Magnetics. 38(2). 1357–1360. 12 indexed citations
15.
Flack, T.J., et al.. (1999). On the domain decomposition and transmission line modelling finite element method for time-domain induction motor analysis. IEEE Transactions on Magnetics. 35(3). 1290–1293. 10 indexed citations
16.
Flack, T.J., et al.. (1999). Application of domain decomposition and transmission line modelling techniques to 2D, time-domain, finite element problems. IEEE Transactions on Magnetics. 35(3). 1478–1481. 12 indexed citations
17.
Atallah, Kais, Phil Mellor, D. Howe, et al.. (1996). Effect of high frequency flux ripple on iron loss in induction machines. Journal of Magnetism and Magnetic Materials. 157-158. 444–446. 1 indexed citations
18.
Williamson, S., et al.. (1995). Representation of skew in time-stepped two-dimensional finite-element models of electrical machines. IEEE Transactions on Industry Applications. 31(5). 1009–1015. 95 indexed citations
19.
Flack, T.J. & S. Williamson. (1993). AIR-GAP FIELDS AND PRESSURE WAVES IN CLOSED-SLOT CAGE ROTOR INDUCTION-MOTORS. View. 2 indexed citations
20.
Flack, T.J. & S. Williamson. (1992). Investigation of current flow in the bars of radially-ducted cage rotors using a three-dimensional finite-element eddy current formulation. IEEE Transactions on Magnetics. 28(2). 1378–1381. 6 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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