Mohammad Ebrahimi

797 citations
37 papers · 619 · h-index 14

Impact in

Papers in

Mohammad Ebrahimi

34 papers receiving 579 citations

Peers

Mohammad Ebrahimi
Comparison fields: 5 of 45
  • Control and Systems Engineering 422
  • Automotive Engineering 117
  • Industrial and Manufacturing Engineering 76
  • Mechanical Engineering 195
  • Electrical and Electronic Engineering 254
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Countries citing papers authored by Mohammad Ebrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ebrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 201078
3 201368
4 201243
5 201728
6 201926
7 200625
8 201624
9 201322
10 202019
11 201918
12 201517
13 201316
14 201113
15 201412
16 202112
17 20179
18
ROTOR RESISTANCE IDENTIFICATION USING NEURAL NETWORKS FOR INDUCTION MOTOR DRIVES IN THE CASE OF INSENSITIVITY TO LOAD VARIATIONS
20069
19
Detection of Broken Bars in Induction Motors Using a Neural Network
20068
20 20198

About Mohammad Ebrahimi

Mohammad Ebrahimi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Automotive Engineering and Civil and Structural Engineering, having authored 37 papers that have together received 619 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (12 papers), Machine Fault Diagnosis Techniques (11 papers), Multilevel Inverters and Converters (8 papers), Wind Turbine Control Systems (8 papers), Sensorless Control of Electric Motors (5 papers), Non-Destructive Testing Techniques (4 papers), Microgrid Control and Optimization (4 papers) and Vehicle Dynamics and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (422 citations), Automotive Engineering (117 citations), Industrial and Manufacturing Engineering (76 citations), Mechanical Engineering (195 citations) and Electrical and Electronic Engineering (254 citations). Mohammad Ebrahimi has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Ahmad Ghaderi, Ahmadreza Tabesh, M. Hajian, Behrooz Karimi, S.M.T. Fatemi Ghomi, Amir Rashidi, Mehdi Moallem, S. Ali Khajehoddin, Mostafa Ghayour and Babak Fahimi. Their work appears in journals such as IEEE Transactions on Power Electronics, IET Electric Power Applications, IEEE Transactions on Transportation Electrification, IEEE Transactions on Power Delivery and IEEE Transactions on Energy Conversion.

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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