G. Guj

1.7k total citations
52 papers, 1.3k citations indexed

About

G. Guj is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, G. Guj has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Mechanics, 21 papers in Aerospace Engineering and 14 papers in Environmental Engineering. Recurrent topics in G. Guj's work include Fluid Dynamics and Turbulent Flows (28 papers), Aerodynamics and Acoustics in Jet Flows (15 papers) and Wind and Air Flow Studies (14 papers). G. Guj is often cited by papers focused on Fluid Dynamics and Turbulent Flows (28 papers), Aerodynamics and Acoustics in Jet Flows (15 papers) and Wind and Air Flow Studies (14 papers). G. Guj collaborates with scholars based in Italy, Australia and Germany. G. Guj's co-authors include Roberto Camussi, F. Stella, Mario Felli, A. Stella, Fabio Di Felice, Hugues Richard, J. Kompenhans, Markus Raffel, Michael Carley and Masud Behnia and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Journal of Sound and Vibration.

In The Last Decade

G. Guj

47 papers receiving 1.3k citations

Peers

G. Guj
Comparison fields: 5 of 65
  • Computational Mechanics 1.0k
  • Aerospace Engineering 461
  • Mechanics of Materials 304
  • Biomedical Engineering 268
  • Mechanical Engineering 251
Replace J.‐M. Buchlin with:
J.‐M. Buchlin Belgium
D. J. Mee Australia
Jie-Zhi Wu China
Yisheng Gao China
T. J. Coakley United States
Fabio Di Felice Italy
V. L. Okulov Russia
Jonathan Naughton United States
A. Hadjadj France
Marcelo Reggio Canada
J.‐M. Buchlin Belgium View profile →
Citations per field, relative to G. Guj
G. Guj · 1×
Citations per year, relative to G. Guj
G. Guj · 1×

Countries citing papers authored by G. Guj

Since Specialization
Citations

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

Fields of papers citing papers by G. Guj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Guj

This figure shows the co-authorship network connecting the top 25 collaborators of G. Guj. A scholar is included among the top collaborators of G. Guj 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 G. Guj. G. Guj 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
# Work Indexed citations
1 62
2 6
3 82
4 3
5 102
6 9
7
The LDA study for the analysis of unsteady combustion in an industrial burner model
1
8 72
9 2
10 48
11 35
12
Large-scale structures forming in a cross-flow: Particle Image Velocimetry conditional analysis
0
13 54
14
Extended self-similarity in anisotropic grid-generated turbulent flow
0
15 11
16 28
17 1
18
Buoyancy and thermocapillary three-dimensional convection at moderate Pr: Numerical study
1
19 58
20
Numerically mapped macro-elements for multiply connected flow fields
1

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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