I. Daut

783 citations
65 papers · 589 · h-index 14

Impact in

Papers in

I. Daut

61 papers receiving 543 citations

Peers

I. Daut
Comparison fields: 5 of 71
  • Energy Engineering and Power Technology 43
  • Renewable Energy, Sustainability and the Environment 197
  • Electrical and Electronic Engineering 313
  • Control and Systems Engineering 96
  • Artificial Intelligence 131
Replace J. Rizk with:
J. Rizk Australia
Seyed Mohammad Hassan Hosseini Iran
Miralem Hadžiselimović Slovenia
Ankit Gupta India
Fabian Mueller United States
Syed Zulqadar Hassan Pakistan
Martin Libra Czechia
Ernest Matagne Belgium
Boonyang Plangklang Thailand
Jussara Farias Fardin Brazil
I. Daut relative to J. Rizk Australia J. Rizk's profile →
Citations per field
00.5×3.4×
J. Rizk · 1×
Citations per year

Countries citing papers authored by I. Daut

Since Specialization
Citations

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

Fields of papers citing papers by I. Daut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201256
2 201336
3 201336
4 201336
5 201132
6 200632
7 201131
8 201226
9 201118
10 200916
11 200516
12 201115
13 199015
14 201314
15 201213
16 201312
17 201010
18 20109
19 20139
20 19918

About I. Daut

I. Daut is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Electronic, Optical and Magnetic Materials and Mechanical Engineering, having authored 65 papers that have together received 589 indexed citations. Recurring topics across this work include Magnetic Properties and Applications (16 papers), Photovoltaic System Optimization Techniques (13 papers), Electric Motor Design and Analysis (12 papers), Solar Radiation and Photovoltaics (11 papers), Engineering and Technology Innovations (10 papers), Power Quality and Harmonics (10 papers), Multilevel Inverters and Converters (7 papers) and Magnetic Bearings and Levitation Dynamics (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (43 citations), Renewable Energy, Sustainability and the Environment (197 citations), Electrical and Electronic Engineering (313 citations), Control and Systems Engineering (96 citations) and Artificial Intelligence (131 citations). I. Daut has collaborated with scholars based in Malaysia, Indonesia and United Kingdom. Frequent co-authors include Y.M. Irwan, N. Gomesh, M. Irwanto, M. Irwanto, S. Taib, A.J. Moses, Baharuddin Ismail, Mohammad Faridun Naim Tajuddin, K. Srinivasa Rao and Suwarno Suwarno. Their work appears in journals such as American Journal of Applied Sciences, IEEE Transactions on Magnetics, Solar Energy, Journal of Applied Sciences and TELKOMNIKA (Telecommunication Computing Electronics and Control).

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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