Alfian Ma’arif

2.1k citations
156 papers · 1.2k indexed · h-index 18

Alfian Ma’arif

137 papers receiving 1.2k citations

Peers

Alfian Ma’arif
Comparison fields: 5 of 140
  • Control and Systems Engineering 500
  • Computer Science Applications 52
  • Computer Vision and Pattern Recognition 173
  • Energy Engineering and Power Technology 26
  • Human-Computer Interaction 38
Replace Jaeseok Yun with:
Jaeseok Yun South Korea
Syed Mahfuzul Aziz Australia
Miguel Martínez-García United Kingdom
Felipe Espinosa Spain
Mohd Nadhir Ab Wahab Malaysia
Khmaies Ouahada South Africa
Mingqi Lv China
Hiram Pönce Mexico
Ata Jahangir Moshayedi China
R. Sitharthan India
Alfian Ma’arif relative to Jaeseok Yun South Korea Jaeseok Yun's profile →
Citations per field
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Jaeseok Yun · 1×
Citations per year

Countries citing papers authored by Alfian Ma’arif

Since Specialization
Citations

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

Fields of papers citing papers by Alfian Ma’arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfian Ma’arif. 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 Alfian Ma’arif. The network helps show where Alfian Ma’arif may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20250
4 20254
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10 20230
11 20235
12 20231
13 20232
14 20239
15 202210
16 202233
17 20213
18 20214
19 202017
20 202016

About Alfian Ma’arif

Alfian Ma’arif is a scholar working on Computer Science Applications, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 156 papers that have together received 1.2k indexed citations. Recurring topics across this work include Engineering and Technology Innovations (37 papers), Sensorless Control of Electric Motors (19 papers), IoT-based Control Systems (17 papers), Advanced Control Systems Design (15 papers), Industrial Automation and Control Systems (15 papers), Robotic Path Planning Algorithms (13 papers), Magnetic Bearings and Levitation Dynamics (10 papers) and Adaptive Control of Nonlinear Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (500 citations), Computer Science Applications (52 citations) and Computer Vision and Pattern Recognition (173 citations). Alfian Ma’arif has collaborated with scholars based in Indonesia, Saudi Arabia and Iraq. Frequent co-authors include Iswanto Iswanto, Abdullah Çakan, Wahyu Rahmaniar, Oyas Wahyunggoro, Noorulden Basil, Purwono Purwono, Magdi S. Mahmoud, Hari Maghfiroh, Hamzah M. Marhoon and Haris Imam Karim Fathurrahman. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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