M. Nasir Uddin

6.6k citations
232 papers · 5.2k · h-index 39

Impact in

Papers in

M. Nasir Uddin

225 papers receiving 4.9k citations

Peers

M. Nasir Uddin
Comparison fields: 5 of 89
  • Control and Systems Engineering 2.5k
  • Electrical and Electronic Engineering 4.5k
  • Energy Engineering and Power Technology 186
  • Automotive Engineering 662
  • Renewable Energy, Sustainability and the Environment 467
Replace Anup Kumar Panda with:
Anup Kumar Panda India
R.M. Nelms United States
J.H.R. Enslin United States
Mehdi Ferdowsi United States
Babak Nahid‐Mobarakeh France
Shanxu Duan China
Hossein Mokhtari Iran
K. Uezato Japan
Kyo‐Beum Lee South Korea
Jin‐Woo Jung South Korea
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Citations per year

Countries citing papers authored by M. Nasir Uddin

Since Specialization
Citations

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

Fields of papers citing papers by M. Nasir Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Nasir Uddin, 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. Nasir Uddin Line = papers co-authored together M. Nasir Uddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014280
2 2002240
3 2003236
4 2008169
5 2019162
6 2014157
7 2002151
8 2017140
9 2014140
10 2007128
11 2019116
12 2011113
13 2002101
14 200694
15 200793
16 200491
17 201590
18 201184
19 200878
20 201871

About M. Nasir Uddin

M. Nasir Uddin is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Automotive Engineering and Mechanical Engineering, having authored 232 papers that have together received 5.2k indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (107 papers), Electric Motor Design and Analysis (102 papers), Multilevel Inverters and Converters (99 papers), Microgrid Control and Optimization (34 papers), Advanced DC-DC Converters (30 papers), Wind Turbine Control Systems (26 papers), Advanced Battery Technologies Research (21 papers) and Magnetic Bearings and Levitation Dynamics (21 papers). The work is most often cited by research in Control and Systems Engineering (2.5k citations), Electrical and Electronic Engineering (4.5k citations), Energy Engineering and Power Technology (186 citations), Automotive Engineering (662 citations) and Renewable Energy, Sustainability and the Environment (467 citations). M. Nasir Uddin has collaborated with scholars based in Canada, Malaysia and Bangladesh. Frequent co-authors include M.A. Rahman, T.S. Radwan, M. A. Hannan, Nasrudin Abd Rahim, Hew Wooi Ping, Jeyraj Selvaraj, Nima Rezaei, Ahmad Elkhateb, Amin Mahmoudi and Solmaz Kahourzade. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IEEE Access and The International Journal of Advanced Manufacturing Technology.

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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