Arbaaz Khan

418 total citations
16 papers, 284 citations indexed

About

Arbaaz Khan is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Arbaaz Khan has authored 16 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Mechanical Engineering and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Arbaaz Khan's work include Electric Motor Design and Analysis (6 papers), Magnetic Properties and Applications (6 papers) and Non-Destructive Testing Techniques (4 papers). Arbaaz Khan is often cited by papers focused on Electric Motor Design and Analysis (6 papers), Magnetic Properties and Applications (6 papers) and Non-Destructive Testing Techniques (4 papers). Arbaaz Khan collaborates with scholars based in Canada, India and Pakistan. Arbaaz Khan's co-authors include David A. Lowther, Vahid Ghorbanian, Mohammad Hossain Mohammadi, Ruoli Wang, Zeeshan Ahmed, Paul Teng, Dennis D. Giannacopoulos and Nazneen Akhter and has published in prestigious journals such as Chaos Solitons & Fractals, IEEE Transactions on Magnetics and International Journal of Imaging Systems and Technology.

In The Last Decade

Arbaaz Khan

16 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arbaaz Khan Canada	8	141	96	63	59	54	16	284
Van Su Luong Vietnam	12	214 1.5×	108 1.1×	51 0.8×	33 0.6×	38 0.7×	45	412
M. Nervi Italy	11	187 1.3×	77 0.8×	34 0.5×	16 0.3×	67 1.2×	42	373
Tianjian Lu United States	11	338 2.4×	44 0.5×	16 0.3×	14 0.2×	28 0.5×	25	469
Yvonnick Le Menach France	14	368 2.6×	164 1.7×	149 2.4×	44 0.7×	10 0.2×	73	541
Andrew J. Meade United States	10	36 0.3×	79 0.8×	26 0.4×	212 3.6×	119 2.2×	31	497
Riccardo Torchio Italy	15	427 3.0×	63 0.7×	28 0.4×	14 0.2×	15 0.3×	65	571
Saku Suuriniemi Finland	9	154 1.1×	32 0.3×	127 2.0×	6 0.1×	22 0.4×	27	338
J.-L. Coulomb France	10	203 1.4×	132 1.4×	121 1.9×	10 0.2×	11 0.2×	26	377
D.N. Dyck Canada	10	190 1.3×	104 1.1×	31 0.5×	13 0.2×	38 0.7×	19	464

Countries citing papers authored by Arbaaz Khan

Since Specialization

Citations

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

Fields of papers citing papers by Arbaaz Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arbaaz Khan

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

All Works

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16 of 16 papers shown

Khan, Arbaaz, et al.. (2023). The Application of Neural Networks to the Modeling of Magnetic Hysteresis. IEEE Transactions on Magnetics. 60(3). 1–4. 8 indexed citations

Khan, Arbaaz, et al.. (2023). Evaluating magnetic fields using deep learning. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 42(5). 1115–1132. 2 indexed citations

Khan, Arbaaz, et al.. (2022). Generalizable Deep Neural Network Based Multi-Material Hysteresis Modeling. 1–4. 3 indexed citations

Teng, Paul, et al.. (2022). Generalizable DNN based multi-material Hysteresis Modelling. 1–2. 6 indexed citations

Khan, Arbaaz, et al.. (2022). Reinforcement Learning for Topology Optimization of a Synchronous Reluctance Motor. IEEE Transactions on Magnetics. 58(9). 1–4. 16 indexed citations

Khan, Arbaaz & David A. Lowther. (2022). Physics Informed Neural Networks for Electromagnetic Analysis. IEEE Transactions on Magnetics. 58(9). 1–4. 51 indexed citations

Ahmed, Zeeshan, et al.. (2021). Deep learning based automated detection of intraretinal cystoid fluid. International Journal of Imaging Systems and Technology. 32(3). 902–917. 8 indexed citations

Khan, Arbaaz, et al.. (2021). Photometric solution of visual binary system: HIP57894. AIP conference proceedings. 2335. 90002–90002. 2 indexed citations

Khan, Arbaaz, Mohammad Hossain Mohammadi, Vahid Ghorbanian, & David A. Lowther. (2020). Efficiency Map Prediction of Motor Drives Using Deep Learning. IEEE Transactions on Magnetics. 56(3). 1–4. 50 indexed citations

10.

Khan, Arbaaz & David A. Lowther. (2020). Machine Learning applied to the Design and Analysis of Low Frequency Electromagnetic Devices. 1–4. 8 indexed citations

11.

Khan, Arbaaz, et al.. (2020). Sequence-Based Environment for Topology Optimization. IEEE Transactions on Magnetics. 56(3). 1–4. 6 indexed citations

12.

Khan, Arbaaz, Mohammad Hossain Mohammadi, Vahid Ghorbanian, & David A. Lowther. (2020). Transfer Learning for Efficiency Map Prediction. 1–4. 2 indexed citations

13.

Khan, Arbaaz, Vahid Ghorbanian, & David A. Lowther. (2019). Deep Learning for Magnetic Field Estimation. IEEE Transactions on Magnetics. 55(6). 1–4. 111 indexed citations

14.

Khan, Arbaaz, et al.. (2011). Resistance of Cell in Fractal Growth in Electrodeposition. RePEc: Research Papers in Economics. 2(1). 17–27. 1 indexed citations

15.

Khan, Arbaaz, et al.. (2009). Fractal pattern growth simulation in electrodeposition and study of the shifting of center of mass. Chaos Solitons & Fractals. 42(5). 2796–2803. 8 indexed citations

16.

Akhter, Nazneen, et al.. (2008). Analysis of Gel Electrophoresis Images. 244. 106–109. 2 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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