Ian Brown

262 total papers · 2.1k total citations
85 papers, 1.5k citations indexed

About

Ian Brown is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Ian Brown has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 37 papers in Control and Systems Engineering and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Ian Brown's work include Electric Motor Design and Analysis (41 papers), Magnetic Bearings and Levitation Dynamics (25 papers) and Magnetic Properties and Applications (16 papers). Ian Brown is often cited by papers focused on Electric Motor Design and Analysis (41 papers), Magnetic Bearings and Levitation Dynamics (25 papers) and Magnetic Properties and Applications (16 papers). Ian Brown collaborates with scholars based in United States, Canada and United Kingdom. Ian Brown's co-authors include Mahesh Krishnamurthy, Zhi Yong Yang, Fei Shang, Daniel C. Ludois, Jiejian Dai, R. D. Lorenz, Dan M. Ionel, David G. Dorrell, Pascal Castellazzi and Fernando Jaramillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

In The Last Decade

Ian Brown

74 papers receiving 1.4k citations

Hit Papers

Comparative Study of Inte... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ian Brown 1.2k 627 289 260 202 85 1.5k
Yajie Liu 460 0.4× 303 0.5× 193 0.7× 95 0.4× 168 0.8× 85 1.4k
Jan Desmet 1.2k 1.0× 664 1.1× 159 0.6× 136 0.5× 126 0.6× 144 1.5k
Daohan Wang 1.2k 1.0× 779 1.2× 439 1.5× 462 1.8× 48 0.2× 121 1.6k
Xiao Liu 547 0.4× 323 0.5× 128 0.4× 168 0.6× 57 0.3× 101 1.2k
M. Caruso 823 0.7× 245 0.4× 113 0.4× 124 0.5× 199 1.0× 104 1.2k
Xiaoying Chen 870 0.7× 121 0.2× 164 0.6× 146 0.6× 192 1.0× 125 1.5k
P.K. Sen 896 0.7× 519 0.8× 104 0.4× 65 0.3× 121 0.6× 77 1.1k
T.J. Hammons 1.1k 0.9× 607 1.0× 47 0.2× 132 0.5× 58 0.3× 137 1.5k
Yujiao Zhang 512 0.4× 130 0.2× 157 0.5× 389 1.5× 93 0.5× 113 1.1k
Kuo Wang 1.1k 0.9× 86 0.1× 220 0.8× 95 0.4× 448 2.2× 95 1.7k

Countries citing papers authored by Ian Brown

Since Specialization
Citations

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

Fields of papers citing papers by Ian Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Brown

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

All Works

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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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