Inge R. Gran

734 citations
11 papers · 622 · h-index 7

Impact in

Papers in

Inge R. Gran

11 papers receiving 600 citations

Peers

Inge R. Gran
Comparison fields: 5 of 30
  • Fluid Flow and Transfer Processes 418
  • Computational Mechanics 574
  • Safety, Risk, Reliability and Quality 202
  • Aerospace Engineering 122
  • Biomedical Engineering 121
Replace L.P.H. de Goey with:
L.P.H. de Goey Netherlands
Stefano Orsino United States
Franziska Hunger Germany
G. Kuenne Germany
Ghenadie Bulat United Kingdom
Yasuhiro Ogami Japan
Masahiko Mizomoto Japan
Pasquale Eduardo Lapenna Italy
B. Dally Australia
Michael J. Evans Australia
Inge R. Gran relative to L.P.H. de Goey Netherlands L.P.H. de Goey's profile →
Citations per field
00.5×1.7×
L.P.H. de Goey · 1×
Citations per year

Countries citing papers authored by Inge R. Gran

Since Specialization
Citations

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

Fields of papers citing papers by Inge R. Gran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inge R. Gran. 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 Inge R. Gran. The network helps show where Inge R. Gran may publish in the future.

Co-authors

The 10 scholars most cited alongside Inge R. Gran, 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 Inge R. Gran Line = papers co-authored together Inge R. Gran links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1996327
2 199679
3 199663
4 200640
5 199638
6 199438
7 199725
8
Computational modeling of nitric oxide formation in biomass combustion
20026
9 19992
10 19932
11 19972

About Inge R. Gran

Inge R. Gran is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Environmental Engineering, Safety, Risk, Reliability and Quality and Biomedical Engineering, having authored 11 papers that have together received 622 indexed citations. Recurring topics across this work include Combustion and flame dynamics (10 papers), Advanced Combustion Engine Technologies (8 papers), Wind and Air Flow Studies (3 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Fire dynamics and safety research (2 papers), Atmospheric chemistry and aerosols (1 paper), Radiative Heat Transfer Studies (1 paper) and Thermochemical Biomass Conversion Processes (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (418 citations), Computational Mechanics (574 citations), Safety, Risk, Reliability and Quality (202 citations), Aerospace Engineering (122 citations) and Biomedical Engineering (121 citations). Inge R. Gran has collaborated with scholars based in Norway and United States. Frequent co-authors include Bjørn F. Magnussen, Tarek Echekki, Jacqueline H. Chen, Ivar S. Ertesvåg, Morten C. Melaaen, Ricardo Cabra, Tore Myhrvold, Jy Chen, Freddy Magnussen and Lars Sætran. Their work appears in journals such as Combustion Science and Technology, AIAA Journal, Journal of Fluids Engineering and Symposium (International) on Combustion.

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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