Farzad Ismail

1.7k citations
56 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Computational Fluid Dynamics and Aerodynamics (24 papers)Fluid Dynamics and Turbulent Flows (17 papers)Wind Energy Research and Development (13 papers)

In The Last Decade

Farzad Ismail

51 papers receiving 1.1k citations

Hit Papers

Upgrading biomass-derived pyrolysis bio-oil to bio-jet fu...2022202620232024202250100150

Peers

Farzad Ismail
Comparison fields: 5 of 75
  • Computational Mechanics 792
  • Aerospace Engineering 375
  • Applied Mathematics 239
  • Biomedical Engineering 188
  • Ocean Engineering 171
Replace Christophe Corre with:
Christophe Corre France
George Papadakis United Kingdom
S. R. Chakravarthy United States
P. G. Huang United States
Nevin Selçuk Türkiye
W. A. Fiveland United States
Andrew G. Gerber Canada
G. Scheuerer Germany
Shubhra Mathur United States
Farzad Ismail relative to Christophe Corre France Christophe Corre's profile →
Citations per field
00.5×
Christophe Corre · 1×
Citations per year

Countries citing papers authored by Farzad Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Farzad Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzad Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Farzad Ismail. A scholar is included among the top collaborators of Farzad Ismail based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Farzad Ismail. Farzad Ismail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 9
4 1
5 2
6 3
7 29
8 6
9 10
10 16
11 3
12 3
13 7
14 10
15 4
16
Computational fluid dynamics study of blood flow in aorta using OpenFOAM
14
17 14
18 15
19 235
20
Toward a reliable prediction of shocks in hypersonic flow: Resolving carbuncles with entropy and vorticity control.
21

About Farzad Ismail

Farzad Ismail is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (24 papers), Fluid Dynamics and Turbulent Flows (17 papers) and Wind Energy Research and Development (13 papers). The work is most often cited by research in Computational Mechanics (792 citations), Applied Mathematics (239 citations) and Aerospace Engineering (375 citations). Farzad Ismail has collaborated with scholars based in Malaysia, United States and Japan. Frequent co-authors include Philip L. Roe, M. H. H. Ishak, Keiichi Kitamura, Pablo M. Carrica, Frederick Stern, Esmaeel Fatahian, Abdul Rahman Mohamed, Keat Teong Lee, Maedeh Mohammadi and Ghazaleh Amini. Their work appears in journals such as Journal of Computational Physics, Energy Conversion and Management and Energy.

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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