Nora Okong’o

1.2k citations
35 papers · 967 · h-index 17

Impact in

Papers in

Nora Okong’o

34 papers receiving 946 citations

Peers

Nora Okong’o
Comparison fields: 5 of 41
  • Computational Mechanics 907
  • Fluid Flow and Transfer Processes 211
  • Ocean Engineering 130
  • Aerospace Engineering 190
  • Environmental Engineering 77
Replace S. H. Smith with:
S. H. Smith Canada
Mikaël Orain France
Dominique Fourguette United States
Jian-Shun Shuen United States
C. D. Carter United States
G. Kosály United States
S.H. Stårner Australia
Guido Lodato France
Kenneth A. Buch United States
Robert D. Rockwell United States
Nora Okong’o relative to S. H. Smith Canada S. H. Smith's profile →
Citations per field
00.5×1.5×2.1×
S. H. Smith · 1×
Citations per year

Countries citing papers authored by Nora Okong’o

Since Specialization
Citations

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

Fields of papers citing papers by Nora Okong’o

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nora Okong’o. 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 Nora Okong’o. The network helps show where Nora Okong’o may publish in the future.

Co-authors

The 11 scholars most cited alongside Nora Okong’o, 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 Nora Okong’o Line = papers co-authored together Nora Okong’o links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002122
2 2002110
3 200791
4 200284
5 200483
6 199883
7 201363
8 200337
9 200532
10 200028
11 200425
12 200024
13
Consistent Large-Eddy Simulation of a Temporal Mixing Layer Laden with Evaporating Drops
200522
14 200321
15 200020
16 200220
17
Large Eddy Simulation Using Unstructured Grids
199718
18 201015
19 199811
20 19989

About Nora Okong’o

Nora Okong’o is a scholar working on Computational Mechanics, Ocean Engineering, Biomedical Engineering, Aerospace Engineering and Global and Planetary Change, having authored 35 papers that have together received 967 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (22 papers), Combustion and flame dynamics (16 papers), Computational Fluid Dynamics and Aerodynamics (14 papers), Particle Dynamics in Fluid Flows (7 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Aerodynamics and Acoustics in Jet Flows (4 papers), Phase Equilibria and Thermodynamics (4 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Computational Mechanics (907 citations), Fluid Flow and Transfer Processes (211 citations), Ocean Engineering (130 citations), Aerospace Engineering (190 citations) and Environmental Engineering (77 citations). Nora Okong’o has collaborated with scholars based in United States. Frequent co-authors include Josette Bellan, K. Harstad, Doyle Knight, Gang Zhou, Laurent Selle, Vijay Shukla, Anthony Leboissetier, V. Shukla, Robert W. Bailey and J. R. Hall. Their work appears in journals such as Journal of Fluid Mechanics, Physics of Fluids, AIAA Journal, International journal of computational fluid dynamics and Computers & Fluids.

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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