В. А. Титарев

4.5k total citations
112 papers, 3.3k citations indexed

About

В. А. Титарев is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, В. А. Титарев has authored 112 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computational Mechanics, 83 papers in Applied Mathematics and 44 papers in Aerospace Engineering. Recurrent topics in В. А. Титарев's work include Gas Dynamics and Kinetic Theory (80 papers), Computational Fluid Dynamics and Aerodynamics (77 papers) and Plasma and Flow Control in Aerodynamics (32 papers). В. А. Титарев is often cited by papers focused on Gas Dynamics and Kinetic Theory (80 papers), Computational Fluid Dynamics and Aerodynamics (77 papers) and Plasma and Flow Control in Aerodynamics (32 papers). В. А. Титарев collaborates with scholars based in Russia, United Kingdom and Italy. В. А. Титарев's co-authors include Eleuterio F. Toro, Е. М. Шахов, Dimitris Drikakis, Michael Dumbser, Panagiotis Tsoutsanis, Martin Käser, Sergey Utyuzhnikov, Evgeniy Romenski, A. A. Frolova and A. A. Morozov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

В. А. Титарев

105 papers receiving 3.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
В. А. Титарев 2.8k 1.6k 635 294 286 112 3.3k
Wai Sun Don 2.9k 1.0× 1.1k 0.7× 444 0.7× 441 1.5× 522 1.8× 76 3.5k
H. Deconinck 2.3k 0.8× 699 0.4× 361 0.6× 218 0.7× 222 0.8× 127 2.8k
Claus‐Dieter Munz 2.4k 0.9× 562 0.4× 412 0.6× 234 0.8× 345 1.2× 111 2.8k
Robert MacCormack 3.2k 1.1× 2.0k 1.2× 1.6k 2.5× 157 0.5× 169 0.6× 95 4.1k
Sukumar Chakravarthy 4.5k 1.6× 1.5k 1.0× 1.3k 2.1× 367 1.2× 451 1.6× 69 5.0k
Rémi Abgrall 6.1k 2.2× 2.2k 1.4× 1.0k 1.7× 371 1.3× 602 2.1× 175 6.9k
Yen Liu 2.5k 0.9× 1.0k 0.6× 598 0.9× 177 0.6× 278 1.0× 67 3.0k
Tariq D. Aslam 2.8k 1.0× 688 0.4× 1.1k 1.7× 172 0.6× 219 0.8× 90 3.8k
David A. Kopriva 2.6k 0.9× 392 0.2× 381 0.6× 296 1.0× 457 1.6× 85 3.3k
Marcel Vinokur 2.2k 0.8× 677 0.4× 661 1.0× 187 0.6× 149 0.5× 51 2.5k

Countries citing papers authored by В. А. Титарев

Since Specialization
Citations

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

Fields of papers citing papers by В. А. Титарев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. А. Титарев. 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 В. А. Титарев. The network helps show where В. А. Титарев may publish in the future.

Co-authorship network of co-authors of В. А. Титарев

This figure shows the co-authorship network connecting the top 25 collaborators of В. А. Титарев. A scholar is included among the top collaborators of В. А. Титарев 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 В. А. Титарев. В. А. Титарев 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.
Титарев, В. А. & A. A. Morozov. (2024). Efficient numerical method for model kinetic equations as applied to pulsed laser ablation into vacuum. AIP conference proceedings. 3050. 60008–60008. 1 indexed citations
2.
Смирнова, Н. С., et al.. (2024). Algorithm for Mesh Adaptation to a Flow Field with a Bow Shock Wave. Computational Mathematics and Mathematical Physics. 64(9). 2111–2120.
3.
Morozov, A. A. & В. А. Титарев. (2023). Evolution of the Shape of a Gas Cloud during Pulsed Laser Evaporation into Vacuum: Direct Simulation Monte Carlo and the Solution of a Model Equation. Computational Mathematics and Mathematical Physics. 63(12). 2244–2256. 4 indexed citations
4.
Utyuzhnikov, Sergey, et al.. (2020). Non-overlapping domain decomposition for modeling essentially unsteady near-wall turbulent flows. Computers & Fluids. 202. 104506–104506. 7 indexed citations
5.
Титарев, В. А.. (2020). Application of the Nesvetay Code for Solving Three-Dimensional High-Altitude Aerodynamics Problems. Computational Mathematics and Mathematical Physics. 60(4). 737–748. 13 indexed citations
6.
Титарев, В. А., et al.. (2018). Parallel Versions of Implicit LU-SGS Method. Lobachevskii Journal of Mathematics. 39(4). 503–512. 11 indexed citations
7.
Титарев, В. А., et al.. (2017). A multithreaded OpenMP implementation of the LU-SGS method using the multilevel decomposition of the unstructured computational mesh. Computational Mathematics and Mathematical Physics. 57(11). 1856–1865. 12 indexed citations
9.
Титарев, В. А., et al.. (2016). OpenMP + MPI parallel implementation of a numerical method for solving a kinetic equation. Computational Mathematics and Mathematical Physics. 56(11). 1919–1928. 14 indexed citations
10.
Титарев, В. А.. (2016). Numerical modeling of high-speed rarefied gas flows over blunt bodies using model kinetic equations. European Journal of Mechanics - B/Fluids. 64. 112–117. 9 indexed citations
11.
Титарев, В. А., et al.. (2015). Rarefied gas deceleration in a channel in the case of expansion into a vacuum. Fluid Dynamics. 50(2). 294–305. 10 indexed citations
12.
Титарев, В. А. & Е. М. Шахов. (2012). Efficient method for computing rarefied gas flow in a long finite plane channel. Computational Mathematics and Mathematical Physics. 52(2). 269–284. 7 indexed citations
13.
Титарев, В. А.. (2012). Rarefied gas flow in a planar channel caused by arbitrary pressure and temperature drops. International Journal of Heat and Mass Transfer. 55(21-22). 5916–5930. 24 indexed citations
14.
Титарев, В. А. & Е. М. Шахов. (2010). Nonisothermal gas flow in a long channel analyzed on the basis of the kinetic S-Model. Computational Mathematics and Mathematical Physics. 50(12). 2131–2144. 17 indexed citations
15.
Титарев, В. А.. (2010). Implicit numerical method for computing three-dimensional rarefied gas flows on unstructured meshes. Computational Mathematics and Mathematical Physics. 50(10). 1719–1733. 31 indexed citations
16.
Титарев, В. А.. (2006). Conservative numerical methods for advanced model kinetic equations. Research Repository (Delft University of Technology). 6 indexed citations
17.
Титарев, В. А. & Eleuterio F. Toro. (2006). ADER schemes for hyperbolic conservation laws with reactive terms. Research Repository (Delft University of Technology). 2 indexed citations
18.
Toro, Eleuterio F., Michael Dumbser, В. А. Титарев, & Martin Käser. (2006). The Derivative Riemann Problem: The basis for high order ADER Schemes. Research Repository (Delft University of Technology). 2 indexed citations
19.
Toro, Eleuterio F., et al.. (2006). ADER scheme for the shallow water equations in channel with irregular bottom elevation. Research Repository (Delft University of Technology). 1 indexed citations
20.
Титарев, В. А. & Eleuterio F. Toro. (2004). ADER schemes for three-dimensional non-linear hyperbolic systems. Journal of Computational Physics. 204(2). 715–736. 256 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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