Kris Van Den Abeele

23 total papers · 402 total citations
11 papers, 301 citations indexed

About

Kris Van Den Abeele is a scholar working on Computational Mechanics, Numerical Analysis and Automotive Engineering. According to data from OpenAlex, Kris Van Den Abeele has authored 11 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 4 papers in Numerical Analysis and 3 papers in Automotive Engineering. Recurrent topics in Kris Van Den Abeele's work include Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Numerical methods for differential equations (3 papers). Kris Van Den Abeele is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Numerical methods for differential equations (3 papers). Kris Van Den Abeele collaborates with scholars based in Belgium, United States and Israel. Kris Van Den Abeele's co-authors include Chris Lacor, Z.J. Wang, Matteo Parsani, Ghader Ghorbaniasl, Eli Turkel and Charles Hirsch and has published in prestigious journals such as Journal of Computational Physics, Journal of Scientific Computing and VUBIR (Vrije Universiteit Brussel).

In The Last Decade

Kris Van Den Abeele

10 papers receiving 297 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kris Van Den Abeele 286 58 41 37 29 11 301
S. Z. Burstein 188 0.7× 67 1.2× 87 2.1× 40 1.1× 22 0.8× 13 301
S.P. Spekreijse 270 0.9× 32 0.6× 64 1.6× 79 2.1× 13 0.4× 20 325
Ch. H. Bruneau 280 1.0× 37 0.6× 62 1.5× 21 0.6× 14 0.5× 9 300
V. V. Rusanov 277 1.0× 36 0.6× 121 3.0× 61 1.6× 29 1.0× 11 336
Elena Gaburro 321 1.1× 43 0.7× 89 2.2× 26 0.7× 35 1.2× 17 343
Saul Kaplun 243 0.8× 43 0.7× 33 0.8× 36 1.0× 7 0.2× 6 345
M.‐G. Vallet 224 0.8× 12 0.2× 39 1.0× 42 1.1× 11 0.4× 10 262
Pablo Fernández 190 0.7× 24 0.4× 29 0.7× 34 0.9× 14 0.5× 20 261
D. Meksyn 218 0.8× 27 0.5× 23 0.6× 36 1.0× 9 0.3× 17 278
Jaume Peraire 259 0.9× 53 0.9× 28 0.7× 31 0.8× 9 0.3× 10 317

Countries citing papers authored by Kris Van Den Abeele

Since Specialization
Citations

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

Fields of papers citing papers by Kris Van Den Abeele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kris Van Den Abeele. 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 Kris Van Den Abeele. The network helps show where Kris Van Den Abeele may publish in the future.

Co-authorship network of co-authors of Kris Van Den Abeele

This figure shows the co-authorship network connecting the top 25 collaborators of Kris Van Den Abeele. A scholar is included among the top collaborators of Kris Van Den Abeele 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 Kris Van Den Abeele. Kris Van Den Abeele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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