Andreas Almqvist

3.4k total citations · 1 hit paper
113 papers, 2.2k citations indexed

About

Andreas Almqvist is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Andreas Almqvist has authored 113 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Mechanical Engineering, 71 papers in Mechanics of Materials and 20 papers in Computational Mechanics. Recurrent topics in Andreas Almqvist's work include Tribology and Lubrication Engineering (64 papers), Adhesion, Friction, and Surface Interactions (55 papers) and Gear and Bearing Dynamics Analysis (41 papers). Andreas Almqvist is often cited by papers focused on Tribology and Lubrication Engineering (64 papers), Adhesion, Friction, and Surface Interactions (55 papers) and Gear and Bearing Dynamics Analysis (41 papers). Andreas Almqvist collaborates with scholars based in Sweden, China and Japan. Andreas Almqvist's co-authors include Roland Larsson, Francesc Pérez–Ràfols, Fredrik Sahlin, Peter Wall, B. N. J. Persson, Piet M. Lugt, Sergei Glavatskih, Pär Marklund, Nikolay Prodanov and Charles F. Campana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Andreas Almqvist

105 papers receiving 2.1k citations

Hit Papers

Numerical micro-texture optimization for lubricated conta... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Almqvist Sweden 27 1.7k 1.4k 313 110 90 113 2.2k
Ivan Argatov Germany 24 814 0.5× 1.6k 1.1× 83 0.3× 240 2.2× 16 0.2× 200 2.4k
Ivan Iordanoff France 24 926 0.6× 1.0k 0.7× 482 1.5× 26 0.2× 27 0.3× 58 1.8k
William L. Ko United States 15 504 0.3× 663 0.5× 176 0.6× 48 0.4× 44 0.5× 91 1.5k
B. Lorenz Germany 18 671 0.4× 957 0.7× 118 0.4× 13 0.1× 8 0.1× 23 1.2k
Cornelis H. Venner Netherlands 29 2.3k 1.4× 1.8k 1.3× 312 1.0× 49 0.4× 51 0.6× 143 2.8k
M. A. Dokainish Canada 16 406 0.2× 521 0.4× 304 1.0× 44 0.4× 20 0.2× 56 1.4k
Hervé Moulinec France 17 487 0.3× 1.8k 1.3× 127 0.4× 554 5.0× 28 0.3× 31 2.2k
A. Z. Szeri United States 23 1.1k 0.7× 359 0.2× 705 2.3× 20 0.2× 369 4.1× 72 1.9k
J. P. Boehler France 16 445 0.3× 939 0.6× 89 0.3× 48 0.4× 44 0.5× 30 1.3k
Xiaopeng Xu United States 8 595 0.4× 2.5k 1.8× 413 1.3× 97 0.9× 8 0.1× 10 3.1k

Countries citing papers authored by Andreas Almqvist

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Almqvist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Almqvist

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Almqvist. A scholar is included among the top collaborators of Andreas Almqvist 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 Andreas Almqvist. Andreas Almqvist 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.
Holmberg, Hans‐Christer, et al.. (2025). On the influence of grip wax on ski–snow friction during the double poling cycle in cross-country skiing. Sports Engineering. 28(1). 1 indexed citations
2.
Almqvist, Andreas, et al.. (2025). A tribological perspective on friction and performance in Olympic snow and ice sports. Sport Sciences for Health. 21(4). 3229–3241.
3.
Sandberg, Joakim, et al.. (2025). On the multi-scale nature of ski–snow friction in cold conditions. Friction. 13(9). 9441069–9441069. 3 indexed citations
4.
Usman, Ali, et al.. (2023). Numerical investigation of thermomechanical behavior of Yttrium barium zirconate-coated aluminum alloy piston in an internal combustion engine. Applied Thermal Engineering. 236. 121603–121603. 17 indexed citations
7.
Persson, B. N. J., et al.. (2023). Characterisation of the Contact between Cross-Country Skis and Snow: A Micro-Scale Study Considering the Ski-Base Texture. Lubricants. 11(5). 225–225. 7 indexed citations
8.
Almqvist, Andreas, et al.. (2023). A Stress-State-Dependent Sliding Wear Model for Micro-Scale Contacts. Journal of Tribology. 145(11). 5 indexed citations
9.
Björling, Marcus, et al.. (2022). An Inlet Computation Zone Optimization for EHL Line Contacts. Tribology Letters. 70(3). 2 indexed citations
10.
Xiang, Yan, et al.. (2021). Boundary element method for the elastic contact problem with hydrostatic load at the contact interface. Applied Surface Science Advances. 6. 100176–100176. 6 indexed citations
11.
Usman, Ali, Muhammad Rafiq, Muhammad Saeed, et al.. (2021). Machine Learning Computational Fluid Dynamics. 1–4. 23 indexed citations
12.
Pérez–Ràfols, Francesc & Andreas Almqvist. (2021). On the stiffness of surfaces with non-Gaussian height distribution. Scientific Reports. 11(1). 1863–1863. 24 indexed citations
13.
Pérez–Ràfols, Francesc, et al.. (2020). A Stochastic Two-Scale Model for Rarefied Gas Flow in Highly Heterogeneous Porous Media. Transport in Porous Media. 135(1). 219–242. 2 indexed citations
14.
Pérez–Ràfols, Francesc, et al.. (2020). Application of topological optimisation methodology to infinitely wide slider bearings operating under compressible flow. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 234(7). 1035–1050. 8 indexed citations
15.
Pérez–Ràfols, Francesc & Andreas Almqvist. (2018). An Enhanced Stochastic Two-Scale Model for Metal-to-Metal Seals. Lubricants. 6(4). 87–87. 5 indexed citations
16.
Pérez–Ràfols, Francesc, Peter Wall, & Andreas Almqvist. (2018). On compressible and piezo-viscous flow in thin porous media. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 474(2209). 20170601–20170601. 8 indexed citations
17.
Pérez–Ràfols, Francesc, et al.. (2018). On the loading and unloading of metal-to-metal seals: A two-scale stochastic approach. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 232(12). 1525–1537. 13 indexed citations
18.
Pérez–Ràfols, Francesc, Roland Larsson, T. Staffan Lundström, Peter Wall, & Andreas Almqvist. (2016). A stochastic two-scale model for pressure-driven flow between rough surfaces. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 472(2190). 20160069–20160069. 29 indexed citations
19.
Almqvist, Andreas, et al.. (2012). Homogenization of a Reynolds equation describing compressible flow. Journal of Mathematical Analysis and Applications. 390(2). 456–471. 11 indexed citations
20.
Spencer, Andrew, et al.. (2012). Experimental and numerical investigations of oil film formation and friction in a piston ring–liner contact. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 227(2). 126–140. 24 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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