Magnus Svärd

2.5k citations
55 papers · 1.9k indexed · h-index 20
Topics
Computational Fluid Dynamics and Aerodynamics (39 papers)Advanced Numerical Methods in Computational Mathematics (29 papers)Fluid Dynamics and Turbulent Flows (22 papers)

In The Last Decade

Magnus Svärd

53 papers receiving 1.8k citations

Peers

Magnus Svärd
Comparison fields: 5 of 53
  • Computational Mechanics 1.6k
  • Numerical Analysis 436
  • Electrical and Electronic Engineering 355
  • Applied Mathematics 314
  • Aerospace Engineering 149
Replace Fengyan Li with:
Fengyan Li United States
Ken Mattsson Sweden
Claus‐Dieter Munz Germany
Gregor J. Gassner Germany
T.R. Hill United States
San‐Yih Lin Taiwan
Michael L. Minion United States
L. Quartapelle Italy
Saul Abarbanel Israel
H. Deconinck Belgium
Magnus Svärd relative to Fengyan Li United States Fengyan Li's profile →
Citations per field
00.5×3.3×
Fengyan Li · 1×
Citations per year

Countries citing papers authored by Magnus Svärd

Since Specialization
Citations

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

Fields of papers citing papers by Magnus Svärd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magnus Svärd

This figure shows the co-authorship network connecting the top 25 collaborators of Magnus Svärd. A scholar is included among the top collaborators of Magnus Svärd 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 Magnus Svärd. Magnus Svärd 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 0
2 1
3 11
4 2
5 15
6 30
7 32
8 3
9 6
10 7
11 10
12 33
13 22
14
An investigation of the performance of a high-order accurate Navier-Stokes code
3
15 49
16 134
17 100
18
Artificial Dissipation for Strictly Stable Finite Volume Methods on Unstructured Meshes
2
19
Stable High-Order Finite Difference Methods for Aerodynamics
4
20
Accuracy Requirements for Steady and Transient Aerodynamics
1

About Magnus Svärd

Magnus Svärd is a scholar working on Computational Mechanics, Numerical Analysis and Applied Mathematics, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (39 papers), Advanced Numerical Methods in Computational Mathematics (29 papers) and Fluid Dynamics and Turbulent Flows (22 papers). The work is most often cited by research in Numerical Analysis (436 citations), Computational Mechanics (1.6k citations) and Applied Mathematics (314 citations). Magnus Svärd has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include Jan Nordström, Ken Mattsson, Mark H. Carpenter, Jing Gong, Siddhartha Mishra, Mohammad Shoeybi, Edwin van der Weide, Frank Ham, Parviz Moin and Vít Dolejší. Their work appears in journals such as Journal of Computational Physics, AIAA Journal and SIAM Journal on Numerical Analysis.

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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