Margit Vallikivi

1.3k total citations · 1 hit paper
19 papers, 976 citations indexed

About

Margit Vallikivi is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Margit Vallikivi has authored 19 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 8 papers in Environmental Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Margit Vallikivi's work include Fluid Dynamics and Turbulent Flows (16 papers), Wind and Air Flow Studies (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Margit Vallikivi is often cited by papers focused on Fluid Dynamics and Turbulent Flows (16 papers), Wind and Air Flow Studies (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Margit Vallikivi collaborates with scholars based in United States, Australia and United Kingdom. Margit Vallikivi's co-authors include Alexander J. Smits, Marcus Hultmark, Sean Bailey, A. J. Smits, Bharathram Ganapathisubramani, Brian Rosenberg, Jeffrey P. Hill, Craig B. Arnold, Gary Kunkel and Candice Tsay and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Journal of Microelectromechanical Systems.

In The Last Decade

Margit Vallikivi

18 papers receiving 945 citations

Hit Papers

Turbulent Pipe Flow at Ex... 2012 2026 2016 2021 2012 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margit Vallikivi United States 10 863 528 340 222 189 19 976
Gary Kunkel United States 9 592 0.7× 403 0.8× 235 0.7× 174 0.8× 147 0.8× 16 776
Jean-Marc Foucaut France 18 1.1k 1.2× 460 0.9× 180 0.5× 431 1.9× 230 1.2× 66 1.2k
Tie Wei United States 19 1.2k 1.4× 557 1.1× 313 0.9× 225 1.0× 386 2.0× 72 1.3k
Paulo Zandonade United States 5 827 1.0× 434 0.8× 308 0.9× 140 0.6× 208 1.1× 6 871
Wade Schoppa United States 8 1.3k 1.5× 391 0.7× 360 1.1× 331 1.5× 381 2.0× 10 1.3k
A. J. Smits United States 13 1.3k 1.5× 533 1.0× 303 0.9× 504 2.3× 234 1.2× 16 1.4k
Woutijn J. Baars United States 20 978 1.1× 508 1.0× 216 0.6× 553 2.5× 185 1.0× 61 1.2k
Antonio Segalini Sweden 24 906 1.0× 769 1.5× 223 0.7× 737 3.3× 199 1.1× 74 1.4k
Luminita Danaila France 21 1.2k 1.4× 478 0.9× 363 1.1× 225 1.0× 145 0.8× 81 1.4k
J. Jeong United States 3 663 0.8× 248 0.5× 149 0.4× 184 0.8× 182 1.0× 4 717

Countries citing papers authored by Margit Vallikivi

Since Specialization
Citations

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

Fields of papers citing papers by Margit Vallikivi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit Vallikivi

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

All Works

19 of 19 papers shown
1.
Morrison, J. F., Margit Vallikivi, & A. J. Smits. (2016). The inertial subrange in turbulent pipe flow: centreline. Journal of Fluid Mechanics. 788. 602–613. 8 indexed citations
2.
Vallikivi, Margit, Marcus Hultmark, & Alexander J. Smits. (2015). Turbulent boundary layer statistics at very high Reynolds number. Journal of Fluid Mechanics. 779. 371–389. 95 indexed citations
3.
Vallikivi, Margit, Bharathram Ganapathisubramani, & Alexander J. Smits. (2015). Spectral scaling in boundary layers and pipes at very high Reynolds numbers. Journal of Fluid Mechanics. 771. 303–326. 81 indexed citations
4.
Chung, Daniel, Ivan Marušič, Jason Monty, Margit Vallikivi, & Alexander J. Smits. (2015). On the universality of inertial energy in the log layer of turbulent boundary layer and pipe flows. Experiments in Fluids. 56(7). 30 indexed citations
5.
Vallikivi, Margit. (2014). Wall-bounded turbulence at high Reynolds numbers. PhDT. 4 indexed citations
6.
Bailey, Sean, Margit Vallikivi, Marcus Hultmark, & A. J. Smits. (2014). Estimating the value of von Kármán’s constant in turbulent pipe flow. Journal of Fluid Mechanics. 749. 79–98. 80 indexed citations
7.
Vallikivi, Margit & Alexander J. Smits. (2014). Fabrication and Characterization of a Novel Nanoscale Thermal Anemometry Probe. Journal of Microelectromechanical Systems. 23(4). 899–907. 38 indexed citations
8.
Hultmark, Marcus, Margit Vallikivi, Sean Bailey, & Alexander J. Smits. (2013). Logarithmic scaling of turbulence in smooth- and rough-wall pipe flow. Journal of Fluid Mechanics. 728. 376–395. 109 indexed citations
9.
Rosenberg, Brian, Marcus Hultmark, Margit Vallikivi, Sean Bailey, & A. J. Smits. (2013). Turbulence spectra in smooth- and rough-wall pipe flow at extreme Reynolds numbers. Journal of Fluid Mechanics. 731. 46–63. 79 indexed citations
10.
Vallikivi, Margit, Marcus Hultmark, & Alexander J. Smits. (2013). MEAN FLOW MEASUREMENTS IN VERY HIGH REYNOLDS NUMBER TURBULENT BOUNDARY LAYER. 1–6. 1 indexed citations
11.
Vallikivi, Margit, Marcus Hultmark, & Alexander J. Smits. (2012). Turbulence measurements at high Reynolds numbers using a new inclined Nano-Scale Thermal Anemometry Probe. 4 indexed citations
12.
Hultmark, Marcus, Margit Vallikivi, Sean Bailey, & Alexander J. Smits. (2012). Turbulent Pipe Flow at Extreme Reynolds Numbers. Physical Review Letters. 108(9). 94501–94501. 247 indexed citations breakdown →
13.
Vallikivi, Margit, Marcus Hultmark, Sean Bailey, & Alexander J. Smits. (2011). Turbulence measurements in pipe flow using a nano-scale thermal anemometry probe. Experiments in Fluids. 51(6). 1521–1527. 62 indexed citations
14.
Vallikivi, Margit, Andrus Salupere, & Hui–Hui Dai. (2011). Numerical simulation of propagation of solitary deformation waves in a compressible hyperelastic rod. Mathematics and Computers in Simulation. 82(7). 1348–1362. 8 indexed citations
15.
Smits, Alexander J., Marcus Hultmark, Margit Vallikivi, Brian Rosenberg, & Sean Bailey. (2011). PIPE FLOW TURBULENCE AT EXTREME REYNOLDS NUMBERS. 1–6. 3 indexed citations
16.
Vallikivi, Margit, Marcus Hultmark, & Alexander J. Smits. (2010). Fully-resolved turbulence measurements in high Reynolds number pipe flow using a nano-scale probe. Bulletin of the American Physical Society. 63. 1 indexed citations
17.
Hultmark, Marcus, Margit Vallikivi, & Alexander J. Smits. (2010). Roughness effects on fully developed pipe flow at high Reynolds numbers. Bulletin of the American Physical Society. 63. 2 indexed citations
18.
Vallikivi, Margit. (2010). Turbulence measurements with a nano-scale thermal anemometry probe. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
19.
Bailey, Sean, Gary Kunkel, Marcus Hultmark, et al.. (2010). Turbulence measurements using a nanoscale thermal anemometry probe. Journal of Fluid Mechanics. 663. 160–179. 123 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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