The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Maxim A. Olshanskii sits on this spectrum.
This scientist: 144 publications — 35th percentile
35% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Maxim A. Olshanskii sits on this spectrum.
This scientist: 38 D-Index — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Maxim A. Olshanskii is affiliated with the University of Houston in the United States and has a research focus primarily in engineering. Their work spans multiple subfields, particularly in computational mechanics and computational theory and mathematics.
The scientist's publication record includes numerous contributions to topics such as advanced numerical methods in computational mathematics, lattice Boltzmann simulation studies, and advanced mathematical modeling in engineering. Additional areas of focus include numerical methods in engineering, computational fluid dynamics and aerodynamics, model reduction and neural networks, as well as lipid membrane structure and behavior.
Maxim A. Olshanskii has authored papers in several peer-reviewed journals and venues, including:
Frequently publishing venues for this scientist include:
Collaboration has been a significant aspect of Maxim A. Olshanskii's research activities. Frequent co-authors include Annalisa Quaini, Yuri Vassilevski, Alexander Danilov, Arnold Reusken, and Alexander Zhiliakov.
The scientist's contributions to computational mechanics and applied mathematics emphasize the development and analysis of numerical methods for partial differential equations on surfaces and evolving domains. The range of topics also reflects interdisciplinary work connecting engineering computational techniques with biological membrane behavior and model reduction strategies.
Michele Benzi;Maxim A. Olshanskii
Maxim A. Olshanskii;Arnold Reusken
Maxim A. Olshanskii;Arnold Reusken;Jörg Grande
Tobias Gelhard;Gert Lube;Maxim A. Olshanskii;Jan-Hendrik Starcke
Maxim Olshanskii;Gert Lube;Timo Heister;Johannes Löwe
Michele Benzi;Maxim A. Olshanskii;Zhen Wang
Maxim A. Olshanskii
Sergey Charnyi;Timo Heister;Maxim A. Olshanskii;Leo G. Rebholz
William Layton;Carolina C. Manica;Monika Neda;Maxim Olshanskii
Maxim A. Olshanskii;Eugene E. Tyrtyshnikov
Thomas Jankuhn;Maxim A. Olshanskii;Arnold Reusken
Maxim A. Olshanskii;Arnold Reusken
Maxim A. Olshanskii;Yuri V. Vassilevski
Piotr P. Grinevich;Maxim A. Olshanskii
M. A. Ol'shanskii;V. M. Staroverov
Maxim A. Olshanskii;Arnold Reusken;Xianmin Xu
Maxim A. Olshanskii;Arnold Reusken
Maxim A. Olshanskii;Arnold Reusken;Xianmin Xu
Maxim A. Olshanskii;Arnold Reusken
Maxim A. Olshanskii;Arnold Reusken
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