Irfan Bahiuddin

742 citations
56 papers · 560 · h-index 15

Impact in

Papers in

Irfan Bahiuddin

46 papers receiving 529 citations

Peers

Irfan Bahiuddin
Comparison fields: 5 of 68
  • Civil and Structural Engineering 352
  • Fluid Flow and Transfer Processes 47
  • Biomedical Engineering 165
  • Mechanical Engineering 136
  • Automotive Engineering 33
Replace Bogdan Sapiński with:
Bogdan Sapiński Poland
Mooncheol Won South Korea
Xiaocong Zhu China
Namcheol Kang South Korea
Ratnam Chanamala India
M.A. Jarrah Jordan
Guochun Wan China
Tariq Darabseh Jordan
Pantelis G. Nikolakopoulos Greece
Irfan Bahiuddin relative to Bogdan Sapiński Poland Bogdan Sapiński's profile →
Citations per field
00.5×1.5×1.9×
Bogdan Sapiński · 1×
Citations per year

Countries citing papers authored by Irfan Bahiuddin

Since Specialization
Citations

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

Fields of papers citing papers by Irfan Bahiuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201953
3 201837
4 201835
5 201735
6 201931
7 201928
8 202027
9 201924
10 201721
11 202019
12 202018
13 201716
14 202214
15 202214
16 202312
17 202010
18 20219
19 20189
20 20219

About Irfan Bahiuddin

Irfan Bahiuddin is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Biomedical Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 56 papers that have together received 560 indexed citations. Recurring topics across this work include Vibration Control and Rheological Fluids (32 papers), Hydraulic and Pneumatic Systems (11 papers), Structural Engineering and Vibration Analysis (10 papers), Machine Learning and ELM (9 papers), Nanofluid Flow and Heat Transfer (6 papers), Seismic Performance and Analysis (6 papers), Prosthetics and Rehabilitation Robotics (4 papers) and Dielectric materials and actuators (4 papers). The work is most often cited by research in Civil and Structural Engineering (352 citations), Fluid Flow and Transfer Processes (47 citations), Biomedical Engineering (165 citations), Mechanical Engineering (136 citations) and Automotive Engineering (33 citations). Irfan Bahiuddin has collaborated with scholars based in Indonesia, Malaysia and South Korea. Frequent co-authors include Saiful Amri Mazlan, Fitrian Imaduddin, Ubaidillah Ubaidillah, Seung‐Bok Choi, Ubaidillah Ubaidillah, Mohd Ibrahim Shapiai, Siti Aishah Abdul Aziz, Mohd Azizi Abdul Rahman, Nurhazimah Nazmi and Mohd Hatta Mohammed Ariff. Their work appears in journals such as Smart Materials and Structures, Materials, Sensors and Actuators A Physical, Arabian Journal for Science and Engineering 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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