Guus Segal

573 citations
22 papers · 297 indexed · h-index 9
Topics
Advanced Numerical Methods in Computational Mathematics (10 papers)Matrix Theory and Algorithms (8 papers)Computational Fluid Dynamics and Aerodynamics (6 papers)

In The Last Decade

Guus Segal

17 papers receiving 262 citations

Peers

Guus Segal
Comparison fields: 5 of 54
  • Computational Mechanics 158
  • Computational Theory and Mathematics 91
  • Mechanical Engineering 80
  • Mechanics of Materials 66
  • Numerical Analysis 35
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Carsten Gräser Germany
A. L. Karchevsky Russia
Augusto C. N. R. Galeão Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Guus Segal

Since Specialization
Citations

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

Fields of papers citing papers by Guus Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guus Segal

This figure shows the co-authorship network connecting the top 25 collaborators of Guus Segal. A scholar is included among the top collaborators of Guus Segal 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 Guus Segal. Guus Segal 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 4
2 12
3 24
4 27
5
SIMPLE-type preconditioners for the Oseen problem
20
6
Numerical Solution Techniques for the Steady Incompressible Navier-Stokes Problem
2
7
Preconditioners for the incompressible Navier-Stokes equations
1
8 11
9 40
10
Solution of the incompressible Navier Stokes equations with preconditioned Krylov subspace methods
1
11 8
12 0
13 5
14
User Manual of the Deft incompressible flow solver
3
15
Programmers Guide of the ISNaS incompressible flow solver
1
16
A conserving discretization for a Stefan problem with an interface reaction at the free boundary
1
17 4
18 72
19 24
20
Some 2D test examples for the ISNaS incompressible code
1

About Guus Segal

Guus Segal is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis, having authored 22 papers that have together received 297 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (10 papers), Matrix Theory and Algorithms (8 papers) and Computational Fluid Dynamics and Aerodynamics (6 papers). The work is most often cited by research in Computational Mechanics (158 citations), Numerical Analysis (35 citations) and Computational Theory and Mathematics (91 citations). Guus Segal has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include C. Vuik, F.J. Vermolen, E.A.H. Vollebregt, Scott MacLachlan, T. Geenen, Mohamed S. Gadala, Wim Spakman, A. P. van den Berg, David A. Yuen and Marcel Zijlema. Their work appears in journals such as Journal of Computational Physics, Geochemistry Geophysics Geosystems and International Journal of Thermal Sciences.

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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