Ian Grant

102 papers receiving 1.9k citations

Peers

Ian Grant
Comparison fields: 5 of 144
  • Computational Mechanics 826
  • Environmental Engineering 428
  • Aerospace Engineering 558
  • Ocean Engineering 210
  • Neurology 140
Replace Stefano Giuliani with:
Stefano Giuliani United Kingdom
Andrzej Przekwas United States
Guillaume Houzeaux Spain
Pablo J. Blanco Brazil
Shu Takagi Japan
Steven H. Frankel United States
Ralph W. Metcalfe United States
Denis Doorly United Kingdom
Toshiyuki Hayase Japan
Simon Mendez France
Ian Grant relative to Stefano Giuliani United Kingdom Stefano Giuliani's profile →
Citations per field
00.5×3.4×
Stefano Giuliani · 1×
Citations per year

Countries citing papers authored by Ian Grant

Since Specialization
Citations

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

Fields of papers citing papers by Ian Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997276
2 1997145
3 2015110
4 199787
5 200079
6 202071
7 200069
8 199951
9 202150
10 198649
11 202046
12 199541
13 198734
14 199033
15 199632
16 199031
17
Selected papers on particle image velocimetry
199429
18 198929
19 198829
20 198528

About Ian Grant

Ian Grant is a scholar working on Computational Mechanics, Environmental Engineering, Aerospace Engineering, Ocean Engineering and Health, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (33 papers), Wind and Air Flow Studies (23 papers), Fluid Dynamics and Vibration Analysis (15 papers), Particle Dynamics in Fluid Flows (13 papers), Health disparities and outcomes (9 papers), Aerodynamics and Fluid Dynamics Research (8 papers), Optical measurement and interference techniques (7 papers) and Wind Energy Research and Development (6 papers). The work is most often cited by research in Computational Mechanics (826 citations), Environmental Engineering (428 citations), Aerospace Engineering (558 citations), Ocean Engineering (210 citations) and Neurology (140 citations). Ian Grant has collaborated with scholars based in United Kingdom, Belgium and Germany. Frequent co-authors include F. H. Barnes, Xu Wang, Grant M. A. Wyper, P. James B. Dyck, Gene G. Hunder, Henry A. Homburger, George Smith, Brian Armstrong, Gerry McCartney and Diane Stockton. Their work appears in journals such as Experiments in Fluids, European Journal of Public Health, Journal of Wind Engineering and Industrial Aerodynamics, Archives of Public Health and Optics and Lasers in Engineering.

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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