Abdul Rahim Abdullah

164 papers receiving 2.0k citations

Peers

Abdul Rahim Abdullah
Comparison fields: 5 of 133
  • Control and Systems Engineering 454
  • Human-Computer Interaction 90
  • Artificial Intelligence 516
  • Cognitive Neuroscience 260
  • Electrical and Electronic Engineering 676
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Rui Yan China
Juan Gabriel Avina‐Cervantes Mexico
Jingwei Too Malaysia
Edmond Q. Wu China
Kwee-Bo Sim South Korea
Yingbai Hu China
Claudio Turchetti Italy
Xianlun Tang China
J. Boedecker Germany
Yakup Demir Türkiye
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Countries citing papers authored by Abdul Rahim Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Rahim Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdul Rahim Abdullah. 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 Abdul Rahim Abdullah. The network helps show where Abdul Rahim Abdullah may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019159
2 2019141
3 2018119
4 202079
5 201974
6 202067
7 201765
8 202052
9 201944
10 201843
11 202038
12 201832
13 201331
14
Classification of EMG Signal Based on Time Domain and Frequency Domain Features
201730
15 201927
16 201324
17 201323
18 201323
19 201722
20 201421

About Abdul Rahim Abdullah

Abdul Rahim Abdullah is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience, Biomedical Engineering and Neurology, having authored 170 papers that have together received 2.0k indexed citations. Recurring topics across this work include Power Quality and Harmonics (44 papers), Machine Fault Diagnosis Techniques (36 papers), Muscle activation and electromyography studies (30 papers), Power Transformer Diagnostics and Insulation (26 papers), EEG and Brain-Computer Interfaces (25 papers), Advanced Electrical Measurement Techniques (16 papers), Brain Tumor Detection and Classification (14 papers) and Multilevel Inverters and Converters (12 papers). The work is most often cited by research in Control and Systems Engineering (454 citations), Human-Computer Interaction (90 citations), Artificial Intelligence (516 citations), Cognitive Neuroscience (260 citations) and Electrical and Electronic Engineering (676 citations). Abdul Rahim Abdullah has collaborated with scholars based in Malaysia, Indonesia and Croatia. Frequent co-authors include Jingwei Too, Norhashimah Mohd Saad, Mohd Hatta Jopri, Wei Hown Tee, Ahmad Zuri Sha’ameri, Nursabillilah Mohd Ali, Ezreen Farina Shair, Tole Sutikno, Auzani Jidin and Siti Anom Ahmad. Their work appears in journals such as International Review of Electrical Engineering (IREE), Applied Mechanics and Materials, International Journal of Electrical and Computer Engineering (IJECE), Arabian Journal for Science and Engineering and Energies.

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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