M. Abul Masrur

2.7k citations
50 papers · 1.7k indexed · h-index 19

M. Abul Masrur

48 papers receiving 1.7k citations

Peers

M. Abul Masrur
Comparison fields: 5 of 78
  • Automotive Engineering 1.0k
  • Control and Systems Engineering 531
  • Electrical and Electronic Engineering 1.3k
  • Fluid Flow and Transfer Processes 39
  • Energy Engineering and Power Technology 13
Replace Stefano Longo with:
Stefano Longo United Kingdom
Rochdi Trigui France
Abbas Fotouhi United Kingdom
Chunyun Fu China
Changqing Du China
Guoqing Xu China
Philippe Delarue France
Sheldon S. Williamson Canada
Liang Chu China
Hongqiang Guo China
M. Abul Masrur relative to Stefano Longo United Kingdom Stefano Longo's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Abul Masrur

Since Specialization
Citations

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

Fields of papers citing papers by M. Abul Masrur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Abul Masrur. 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 M. Abul Masrur. The network helps show where M. Abul Masrur may publish in the future.

Co-authorship network

The 25 scholars most cited alongside M. Abul Masrur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Abul Masrur Line = papers co-authored together M. Abul Masrur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 202513
4 20255
5 20197
6 201797
7 20171
8 20168
9 201435
10 20132
11 2012148
12 201218
13 20092
14 20088
15 200822
16 200734
17 20062
18 20061
19
Robust Fault Diagnosis in Electric Drives Using Machine Learning
20043
20 20031

About M. Abul Masrur

M. Abul Masrur is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (23 papers), Electric and Hybrid Vehicle Technologies (19 papers), Electric Vehicles and Infrastructure (17 papers), Sensorless Control of Electric Motors (8 papers), Multilevel Inverters and Converters (7 papers), Machine Fault Diagnosis Techniques (6 papers), Electric Motor Design and Analysis (6 papers) and Real-time simulation and control systems (5 papers). The work is most often cited by research in Automotive Engineering (1.0k citations), Control and Systems Engineering (531 citations) and Electrical and Electronic Engineering (1.3k citations). M. Abul Masrur has collaborated with scholars based in United States, China and France. Frequent co-authors include Yi Lu Murphey, Chris Mı, Jungme Park, Zhihang Chen, Wenzhong Gao, M.L. Kuang, Anastasia Phillips, Baifang Zhang, Zhihang Chen and Zhihang Chen. Their work appears in journals such as Proceedings of the IEEE, Journal of Power Sources and Chemical Engineering Journal.

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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