Niclas Jansson

700 total citations
40 papers, 324 citations indexed

About

Niclas Jansson is a scholar working on Computational Mechanics, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Niclas Jansson has authored 40 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 7 papers in Hardware and Architecture and 6 papers in Computational Theory and Mathematics. Recurrent topics in Niclas Jansson's work include Advanced Numerical Methods in Computational Mathematics (10 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Niclas Jansson is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Computational Fluid Dynamics and Aerodynamics (9 papers). Niclas Jansson collaborates with scholars based in Sweden, Germany and Japan. Niclas Jansson's co-authors include Johan Hoffman, Johan Jansson, Makoto Tsubokura, Keiji Onishi, Murtazo Nazarov, Rahul Bale, Stefano Markidis, Philipp Schlatter, Artur Podobas and Chung‐Gang Li and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Niclas Jansson

36 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niclas Jansson Sweden 10 190 66 50 42 37 40 324
Johan Jansson Sweden 10 197 1.0× 37 0.6× 60 1.2× 28 0.7× 28 0.8× 36 335
Herbert Owen Spain 13 302 1.6× 122 1.8× 22 0.4× 41 1.0× 44 1.2× 26 540
Ruth Arís Spain 4 101 0.5× 29 0.4× 121 2.4× 27 0.6× 25 0.7× 4 313
Beatriz Eguzkitza Spain 11 90 0.5× 36 0.5× 25 0.5× 21 0.5× 22 0.6× 20 305
M. Vénere Argentina 10 168 0.9× 45 0.7× 79 1.6× 12 0.3× 8 0.2× 29 475
Koji Miyaji Japan 11 170 0.9× 105 1.6× 82 1.6× 5 0.1× 32 0.9× 64 441
Dirk Ekelschot United States 6 413 2.2× 109 1.7× 15 0.3× 15 0.4× 13 0.4× 11 482
S. Aliabadi United States 10 537 2.8× 106 1.6× 12 0.2× 11 0.3× 12 0.3× 21 655
G. Rocco United Kingdom 3 345 1.8× 108 1.6× 14 0.3× 13 0.3× 13 0.4× 4 402
V. Kalro United States 14 771 4.1× 296 4.5× 15 0.3× 9 0.2× 9 0.2× 21 926

Countries citing papers authored by Niclas Jansson

Since Specialization
Citations

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

Fields of papers citing papers by Niclas Jansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niclas Jansson

This figure shows the co-authorship network connecting the top 25 collaborators of Niclas Jansson. A scholar is included among the top collaborators of Niclas Jansson 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 Niclas Jansson. Niclas Jansson 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.
Peplinski, Adam, et al.. (2025). Direct numerical simulation of a starting rotor at $$Re_c=15000$$. Journal of Visualization. 28(6). 1083–1090.
2.
Bientinesi, Paolo, et al.. (2025). Enabling mixed-precision in spectral element codes. Future Generation Computer Systems. 174. 107990–107990. 3 indexed citations
3.
Galimberti, Luca, Lisandro Dalcín, Saleh Rezaeiravesh, et al.. (2025). Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence. Journal of Computational Physics. 549. 114600–114600.
4.
Jansson, Niclas, et al.. (2024). Design of Neko—A Scalable High‐Fidelity Simulation Framework With Extensive Accelerator Support. Concurrency and Computation Practice and Experience. 37(2).
5.
Jansson, Niclas, et al.. (2024). Direct numerical simulation of the turbulent flow around a Flettner rotor. Scientific Reports. 14(1). 3004–3004. 4 indexed citations
6.
Meinke, Jan H., et al.. (2024). Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures. The International Journal of High Performance Computing Applications. 39(3). 329–344. 2 indexed citations
7.
Jansson, Niclas, et al.. (2023). Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. The International Journal of High Performance Computing Applications. 37(5). 487–502. 10 indexed citations
8.
Jansson, Niclas, et al.. (2023). Saproxylic beetles on oaks in a wooded pasture in the Eastern Mediterranean Region and contributions to Turkish entomofauna. Turkish Journal of Entomology. 47(2). 149–166.
9.
10.
Atzori, Marco, Adam Peplinski, Niclas Jansson, et al.. (2021). In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. The Journal of Supercomputing. 78(3). 3605–3620. 4 indexed citations
11.
Liu, Felix, Niclas Jansson, Artur Podobas, Albin Fredriksson, & Stefano Markidis. (2021). Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. 449–458. 4 indexed citations
12.
Jansson, Johan, et al.. (2018). 3D Fluid-Structure Interaction Simulation of Aortic Valves Using a Unified Continuum ALE FEM Model. Frontiers in Physiology. 9. 363–363. 55 indexed citations
13.
Jansson, Niclas, Rahul Bale, Keiji Onishi, & Makoto Tsubokura. (2018). CUBE: A scalable framework for large-scale industrial simulations. The International Journal of High Performance Computing Applications. 33(4). 678–698. 30 indexed citations
14.
Jansson, Niclas & Erwin Laure. (2018). Towards a parallel algebraic multigrid solver using PGAS. 31–38. 1 indexed citations
15.
Hoffman, Johan, et al.. (2014). Time-resolved adaptive FEM simulation of the DLR-F11 aircraft model at high Reynolds number. 52nd Aerospace Sciences Meeting. 6 indexed citations
16.
Jansson, Niclas. (2013). High Performance Adaptive Finite Element Methods : With Applications in Aerodynamics. Australian and New Zealand Journal of Medicine. 23(5). 470–6. 3 indexed citations
17.
Jansson, Niclas, et al.. (2013). Adaptive computation of aeroacoustic sources for a rudimentary landing gear. International Journal for Numerical Methods in Fluids. 74(6). 406–421. 6 indexed citations
18.
Jansson, Niclas & Johan Hoffman. (2013). Improving Parallel Performance of FEniCS Finite Element Computations by Hybrid MPI/PGAS. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
20.
Jansson, Niclas. (2011). High performance adaptive finite element methods for turbulent fluid flow. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4 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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