Hans De Sterck

2.8k total citations
90 papers, 1.7k citations indexed

About

Hans De Sterck is a scholar working on Computational Mechanics, Astronomy and Astrophysics and Computational Theory and Mathematics. According to data from OpenAlex, Hans De Sterck has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 17 papers in Astronomy and Astrophysics and 16 papers in Computational Theory and Mathematics. Recurrent topics in Hans De Sterck's work include Advanced Numerical Methods in Computational Mathematics (27 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Matrix Theory and Algorithms (15 papers). Hans De Sterck is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (27 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Matrix Theory and Algorithms (15 papers). Hans De Sterck collaborates with scholars based in Canada, United States and Australia. Hans De Sterck's co-authors include Feng Tian, O. B. Toon, Alexander A. Pavlov, Ulrike Meier Yang, Stefaan Poedts, Jeffrey J. Heys, Thomas A. Manteuffel, C. P. T. Groth, Robert D. Falgout and Chen Zhang and has published in prestigious journals such as Science, Physical Review Letters and Journal of Geophysical Research Atmospheres.

In The Last Decade

Hans De Sterck

87 papers receiving 1.6k citations

Peers

Hans De Sterck
Comparison fields: 5 of 118
  • Computational Mechanics 677
  • Astronomy and Astrophysics 530
  • Computational Theory and Mathematics 305
  • Computer Networks and Communications 149
  • Numerical Analysis 133
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Citations per field, relative to Hans De Sterck
Hans De Sterck · 1×
Citations per year, relative to Hans De Sterck
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Countries citing papers authored by Hans De Sterck

Since Specialization
Citations

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

Fields of papers citing papers by Hans De Sterck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans De Sterck. 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 Hans De Sterck. The network helps show where Hans De Sterck may publish in the future.

Co-authorship network of co-authors of Hans De Sterck

This figure shows the co-authorship network connecting the top 25 collaborators of Hans De Sterck. A scholar is included among the top collaborators of Hans De Sterck 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 Hans De Sterck. Hans De Sterck 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 2
2 1
3 0
4 1
5 3
6 3
7 2
8 14
9 17
10 19
11
Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition
5
12 9
13 7
14 6
15 2
16 5
17 28
18
Explicit and implicit parallel upwind monotone residual distribution solver for the time dependent ideal 3D MHD equations on unstructured grids
2
19
Complex Interacting Shock Fronts Induced by Fast CMEs
1
20
Numerical simulation and analysis of magnetically dominated MHD bow shock flows with applications in space physics
5

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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