Wan Rahiman

44 papers receiving 1.1k citations

Peers

Wan Rahiman
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 320
  • Control and Systems Engineering 277
  • Aerospace Engineering 232
  • Automotive Engineering 94
  • Industrial and Manufacturing Engineering 76
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Wenqing Zhao China
Aarne Halme Finland
Guangzhu Chen China
Hassan Sayyaadi Iran
Man Hyung Lee South Korea
Ze Liu China
Yiqi Wang China
Rui Yu China
Fenghua Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Wan Rahiman

Since Specialization
Citations

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

Fields of papers citing papers by Wan Rahiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019161
2 2021121
3 2023117
4 2020101
5 202157
6 202154
7 202144
8 202243
9 201342
10 202230
11 202228
12 202328
13 201926
14 202326
15 202126
16 202222
17 202421
18
Yaw Rate and Sideslip Control using PID Controller for Double Lane Changing
201720
19 202417
20 202416

About Wan Rahiman

Wan Rahiman is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering and Automotive Engineering, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (8 papers), High voltage insulation and dielectric phenomena (5 papers), Power Transformer Diagnostics and Insulation (5 papers), Supercapacitor Materials and Fabrication (4 papers), Real-time simulation and control systems (4 papers), Control and Dynamics of Mobile Robots (4 papers) and Vehicle Dynamics and Control Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (320 citations), Control and Systems Engineering (277 citations), Aerospace Engineering (232 citations), Automotive Engineering (94 citations) and Industrial and Manufacturing Engineering (76 citations). Wan Rahiman has collaborated with scholars based in Malaysia, Bangladesh and Thailand. Frequent co-authors include Mohamad Hazwan Mohd Ghazali, Faiza Gul, S. S. N. Alhady, Imran Mir, Nor Azmira Salleh, Soorathep Kheawhom, Ahmad Azmin Mohamad, Abdul Jalil, Salem Mgammal Al-Ameri and Samir A. Al-Gailani. Their work appears in journals such as IEEE Access, IEEE Transactions on Instrumentation and Measurement, Ocean Engineering, Journal of Ambient Intelligence and Humanized Computing and Scientific Reports.

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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