Ahmed Abdul Moiz

576 citations
27 papers · 438 indexed · h-index 13

Ahmed Abdul Moiz

27 papers receiving 428 citations

Peers

Ahmed Abdul Moiz
Comparison fields: 5 of 43
  • Fluid Flow and Transfer Processes 377
  • Computational Mechanics 308
  • Automotive Engineering 140
  • Aerospace Engineering 86
  • Biomedical Engineering 89
Replace Janardhan Kodavasal with:
Janardhan Kodavasal United States
Tarcisio Cerri Italy
Bolan Liu China
Vittorio Ravaglioli Italy
Claudio Forte Italy
Yoshisuke HAMAMOTO Japan
Michael Grill Germany
Stephen Russ France
Pascal Higelin France
Pedro Curto-Risso Uruguay
Ahmed Abdul Moiz relative to Janardhan Kodavasal United States Janardhan Kodavasal's profile →
Citations per field
00.5×1.5×
Janardhan Kodavasal · 1×
Citations per year

Countries citing papers authored by Ahmed Abdul Moiz

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Abdul Moiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202210
2 202121
3 20217
4 20211
5 20192
6 20196
7 20194
8 20196
9 20183
10 20186
11 201882
12 20177
13
Multi-cycle Large Eddy Simulation to Capture Cycle-to-Cycle Variation (CCV) in Spark-Ignited (Si) Engines
20172
14 201752
15 201644
16 201621
17 201617
18 201613
19 201510
20 201520

About Ahmed Abdul Moiz

Ahmed Abdul Moiz is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Aerospace Engineering and Biomedical Engineering, having authored 27 papers that have together received 438 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (25 papers), Combustion and flame dynamics (24 papers), Biodiesel Production and Applications (7 papers), Vehicle emissions and performance (6 papers), Combustion and Detonation Processes (4 papers), Heat transfer and supercritical fluids (4 papers), Catalytic Processes in Materials Science (3 papers) and Plant Surface Properties and Treatments (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (377 citations), Computational Mechanics (308 citations), Automotive Engineering (140 citations), Aerospace Engineering (86 citations) and Biomedical Engineering (89 citations). Ahmed Abdul Moiz has collaborated with scholars based in United States and Italy. Frequent co-authors include Sibendu Som, Seong-Young Lee, Janardhan Kodavasal, Khanh Cung, Muhsin Ameen, Daniel Probst, Pinaki Pal, Yuanjiang Pei, Yu Zhang and Le Zhao. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Engine Research, Journal of Energy Resources Technology, Combustion and Flame and Energy and AI.

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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