Mohammad Nuh

34 papers receiving 546 citations

Peers

Mohammad Nuh
Comparison fields: 5 of 106
  • Drug Discovery 1
  • Renewable Energy, Sustainability and the Environment 94
  • Biomedical Engineering 255
  • Materials Chemistry 239
  • Electronic, Optical and Magnetic Materials 79
Replace Zefeng Wang with:
Zefeng Wang China
Wenzhen Liu China
Noemi Poma Italy
Yunjie Liu China
Seung Yeon Lee South Korea
Md. Azahar Ali United States
Mohammad Nuh relative to Zefeng Wang China Zefeng Wang's profile →
Citations per field
00.5×3.0×
Zefeng Wang · 1×
Citations per year

Countries citing papers authored by Mohammad Nuh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Nuh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021148
2 2020128
3 2020114
4 202049
5 201816
6 201110
7 20169
8 20199
9 20167
10 20107
11 20206
12 20126
13 20116
14 20166
15 20213
16 20203
17 20113
18 20203
19 20092
20 20202

About Mohammad Nuh

Mohammad Nuh is a scholar working on Control and Systems Engineering, Education, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering, having authored 43 papers that have together received 558 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (5 papers), EEG and Brain-Computer Interfaces (5 papers), Robotic Path Planning Algorithms (4 papers), Advanced Nanomaterials in Catalysis (4 papers), Stability and Control of Uncertain Systems (4 papers), Control and Dynamics of Mobile Robots (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Renewable Energy, Sustainability and the Environment (94 citations), Biomedical Engineering (255 citations), Materials Chemistry (239 citations) and Electronic, Optical and Magnetic Materials (79 citations). Mohammad Nuh has collaborated with scholars based in Indonesia, Taiwan and Burkina Faso. Frequent co-authors include Achmad Jazidie, Dyah Ika Krisnawati, Tsung‐Rong Kuo, Sibidou Yougbaré, Chinmaya Mutalik, Hung-Lung Chou, I‐Hsin Lin, Che‐Chang Chang, Tsai-Mu Cheng and Yu‐Cheng Hsiao. Their work appears in journals such as Nanomaterials, International Journal of Nanomedicine, Journal of Hazardous Materials, TELKOMNIKA (Telecommunication Computing Electronics and Control) and International Review of Automatic Control (IREACO).

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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