A. Megaritis

4.2k citations
71 papers · 3.4k indexed · h-index 34

A. Megaritis

71 papers receiving 3.2k citations

Peers

A. Megaritis
Comparison fields: 5 of 89
  • Fluid Flow and Transfer Processes 2.0k
  • Automotive Engineering 983
  • Computational Mechanics 1.1k
  • Catalysis 277
  • Biomedical Engineering 1.6k
Replace Mingyan Gu with:
Mingyan Gu China
B.R. Stanmore Australia
Jesper Schramm Denmark
John C. Kramlich United States
Paul R. Medwell Australia
Panayotis Dimopoulos Eggenschwiler Switzerland
Terese Løvås Norway
Ta‐Hui Lin Taiwan
Yishu Xu China
K. Hein Germany
A. Megaritis relative to Mingyan Gu China Mingyan Gu's profile →
Citations per field
00.5×6.6×
Mingyan Gu · 1×
Citations per year

Countries citing papers authored by A. Megaritis

Since Specialization
Citations

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

Fields of papers citing papers by A. Megaritis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20161
3 201634
4 201536
5 201466
6 201496
7 201461
8 2013121
9 201367
10 201211
11 200924
12 200760
13 200788
14 200555
15 200530
16
Facilitation of HCCI combustion of biogas at moderate compression ratios by application of fuel reforming and inlet air heating
200416
17 200385
18
Improved combustion in high EGR dilution CNG engines and fuel reforming with exhaust gas
20001
19 199942
20 199733

About A. Megaritis

A. Megaritis is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Health, Toxicology and Mutagenesis and Catalysis, having authored 71 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (41 papers), Catalytic Processes in Materials Science (22 papers), Biodiesel Production and Applications (20 papers), Vehicle emissions and performance (19 papers), Combustion and flame dynamics (17 papers), Thermochemical Biomass Conversion Processes (14 papers), Air Quality and Health Impacts (10 papers) and Atmospheric chemistry and aerosols (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (2.0k citations), Automotive Engineering (983 citations), Computational Mechanics (1.1k citations), Catalysis (277 citations) and Biomedical Engineering (1.6k citations). A. Megaritis has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include A. Tsolakis, Mirosław L. Wyszynski, D. Yap, Kampanart Theinnoi, Jun Xia, Lionel Ganippa, Hongming Xu, Rafael Kandiyoti, A. Abu-Jrai and Spyros Ν. Pandis. Their work appears in journals such as Fuel, SAE technical papers on CD-ROM/SAE technical paper series, Energy & Fuels, International Journal of Hydrogen Energy and Atmospheric chemistry and physics.

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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