Vincent Heuveline

3.6k total citations
177 papers, 1.9k citations indexed

About

Vincent Heuveline is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Vincent Heuveline has authored 177 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mechanics, 35 papers in Computational Theory and Mathematics and 29 papers in Hardware and Architecture. Recurrent topics in Vincent Heuveline's work include Advanced Numerical Methods in Computational Mathematics (36 papers), Parallel Computing and Optimization Techniques (28 papers) and Matrix Theory and Algorithms (22 papers). Vincent Heuveline is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (36 papers), Parallel Computing and Optimization Techniques (28 papers) and Matrix Theory and Algorithms (22 papers). Vincent Heuveline collaborates with scholars based in Germany, United States and France. Vincent Heuveline's co-authors include Rolf Rannacher, Vinod M. Janardhanan, Olaf Deutschmann, Mathias J. Krause, Tobias Hahn, Jürgen Hubbuch, Philipp D. Lösel, Jonas Lätt, Hartwig Anzt and Peter Wittwer and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cell Metabolism.

In The Last Decade

Vincent Heuveline

163 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vincent Heuveline Germany 23 576 326 252 219 201 177 1.9k
Hans Petter Langtangen Norway 29 729 1.3× 198 0.6× 297 1.2× 69 0.3× 88 0.4× 90 2.7k
Radu Serban United States 20 678 1.2× 340 1.0× 364 1.4× 37 0.2× 382 1.9× 89 3.3k
Robert M. Kirby United States 35 2.0k 3.5× 357 1.1× 352 1.4× 206 0.9× 47 0.2× 145 3.7k
Marie E. Rognes Norway 18 876 1.5× 247 0.8× 359 1.4× 45 0.2× 107 0.5× 60 2.6k
Peter Bastian Germany 23 1.1k 1.8× 201 0.6× 455 1.8× 79 0.4× 82 0.4× 63 2.4k
Bruno Turcksin United States 15 600 1.0× 203 0.6× 190 0.8× 149 0.7× 30 0.1× 26 1.4k
Carol S. Woodward United States 18 956 1.7× 438 1.3× 478 1.9× 30 0.1× 337 1.7× 56 3.4k
Martin Sandve Alnæs Norway 9 589 1.0× 170 0.5× 256 1.0× 52 0.2× 54 0.3× 37 2.0k
Martin Kronbichler Germany 26 1.5k 2.5× 402 1.2× 398 1.6× 110 0.5× 40 0.2× 85 2.5k
Martin Berzins United States 29 1.3k 2.3× 180 0.6× 159 0.6× 377 1.7× 48 0.2× 147 2.8k

Countries citing papers authored by Vincent Heuveline

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Heuveline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Heuveline

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Heuveline. A scholar is included among the top collaborators of Vincent Heuveline 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 Vincent Heuveline. Vincent Heuveline 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
1.
Thoman, Peter, et al.. (2024). SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs. 1–12. 1 indexed citations
2.
Heuveline, Vincent, et al.. (2024). Dielectrophoretic force-enhanced thermal convection within a horizontal cylindrical annulus. Physics of Fluids. 36(12). 2 indexed citations
3.
Boy, Nikolas, Sven F. Garbade, Saskia Haupt, et al.. (2024). Digital-Tier Strategy Improves Newborn Screening for Glutaric Aciduria Type 1. International Journal of Neonatal Screening. 10(4). 83–83.
4.
Baumbach, Tilo, et al.. (2023). Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning. Optics Express. 31(16). 26226–26226. 2 indexed citations
5.
Farnoud, Ali, In go Baumann, O. Pourmehran, et al.. (2023). Numerical and Machine Learning Analysis of the Parameters Affecting the Regionally Delivered Nasal Dose of Nano- and Micro-Sized Aerosolized Drugs. Pharmaceuticals. 16(1). 81–81. 7 indexed citations
6.
Heuveline, Vincent, et al.. (2023). Multi-view-AE: A Python package for multi-viewautoencoder models. The Journal of Open Source Software. 8(85). 5093–5093. 3 indexed citations
7.
Lösel, Philipp D., Coline Monchanin, Renaud Lebrun, et al.. (2023). Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning. PLoS Computational Biology. 19(10). e1011529–e1011529. 14 indexed citations
8.
9.
Haupt, Saskia, Aysel Ahadova, Hendrik Bläker, et al.. (2021). A computational model for investigating the evolution of colonic crypts during Lynch syndrome carcinogenesis. SHILAP Revista de lepidopterología. 1(2).
10.
Haupt, Saskia, Aysel Ahadova, Hendrik Bläker, et al.. (2021). Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure. PLoS Computational Biology. 17(5). e1008970–e1008970. 10 indexed citations
11.
Klatt, Steffen, David Kraus, Philipp Kraft, et al.. (2017). Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach. Environmental Modelling & Software. 90. 55–67. 19 indexed citations
12.
Fritzson, Peter, et al.. (2014). PDE Modeling with Modelica via FMI import of Hiflow3 C++ Components with Parallel Multi-Core Simulations. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
13.
Wilhelms, Mathias, Mathias J. Krause, Eberhard Scholz, et al.. (2012). Calibration of human cardiac ion current models to patch clamp measurement data. Computing in Cardiology. 229–232. 2 indexed citations
14.
Krause, Mathias J., Gudrun Thäter, & Vincent Heuveline. (2012). Adjoint-based fluid flow control and optimisation with lattice Boltzmann methods. Computers & Mathematics with Applications. 65(6). 945–960. 41 indexed citations
15.
Anzt, Hartwig, Vincent Heuveline, José I. Aliaga, et al.. (2011). Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms. Repository KITopen (Karlsruhe Institute of Technology). 1–6. 13 indexed citations
16.
Heuveline, Vincent, et al.. (2010). Convey HC-1 Hybrid Core Computer - The Potential of FPGAs in Numerical Simulation. 1. 9 indexed citations
17.
Grams, Christian M., Sam Jones, John H. Marsham, et al.. (2010). Investigation of the atmosphere-land-ocean interaction at the southwestern edge of the Saharan heat low.
18.
Scheck, Leonhard, et al.. (2009). Goal oriented adaptivity for tropical cyclones. 1 indexed citations
19.
Désidéri, Jean‐Antoine, et al.. (2008). multiobjective optimization in hydrodynamic stability control. HAL (Le Centre pour la Communication Scientifique Directe).
20.
Heuveline, Vincent & Miloud Sadkane. (1997). ARNOLDI-FABER METHOD FOR LARGE NON HERMITIAN EIGENVALUE PROBLEMS. OpenGrey (Institut de l'Information Scientifique et Technique). 5. 62–76. 7 indexed citations

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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