A. V. Kuznetsov

14.4k citations
386 papers · 11.6k indexed · 4 hit papers · h-index 53

A. V. Kuznetsov

368 papers receiving 11.2k citations

Hit Papers

Effect of Mn and V on structure and mechanical properties...5862009202620142020250500750

Peers

A. V. Kuznetsov
Comparison fields: 5 of 155
  • Computational Mechanics 7.5k
  • Biomedical Engineering 8.1k
  • Mechanical Engineering 6.0k
  • Fluid Flow and Transfer Processes 474
  • Modeling and Simulation 200
Replace Akira Nakayama with:
Akira Nakayama Japan
James J. Feng Canada
Grétar Tryggvason United States
J. R. A. Pearson United Kingdom
Qing Li China
Penger Tong Hong Kong
Peng Xu China
Omar K. Matar United Kingdom
K.Y. Lam Singapore
Gautam Biswas India
A. V. Kuznetsov relative to Akira Nakayama Japan Akira Nakayama's profile →
Citations per field
00.5×4.2×
Akira Nakayama · 1×
Citations per year

Countries citing papers authored by A. V. Kuznetsov

Since Specialization
Citations

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

Fields of papers citing papers by A. V. Kuznetsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. V. Kuznetsov. 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 A. V. Kuznetsov. The network helps show where A. V. Kuznetsov may publish in the future.

Co-authorship network

The 25 scholars most cited alongside A. V. Kuznetsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. V. Kuznetsov Line = papers co-authored together A. V. Kuznetsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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Limitation of the single-domain numerical approach: Comparisons of analytical and numerical solutions for a forced convection heat transfer problem in a composite duct
20033
20 2003212

About A. V. Kuznetsov

A. V. Kuznetsov is a scholar working on Computational Mechanics, Biomedical Engineering, Cell Biology, Ocean Engineering and Mechanical Engineering, having authored 386 papers that have together received 11.6k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (140 papers), Heat and Mass Transfer in Porous Media (130 papers), Lattice Boltzmann Simulation Studies (77 papers), Fluid Dynamics and Turbulent Flows (58 papers), Microtubule and mitosis dynamics (51 papers), Heat Transfer Mechanisms (26 papers), Particle Dynamics in Fluid Flows (23 papers) and Heat Transfer and Optimization (22 papers). The work is most often cited by research in Computational Mechanics (7.5k citations), Biomedical Engineering (8.1k citations), Mechanical Engineering (6.0k citations), Fluid Flow and Transfer Processes (474 citations) and Modeling and Simulation (200 citations). A. V. Kuznetsov has collaborated with scholars based in United States, New Zealand and Ukraine. Frequent co-authors include D. A. Nield, А. А. Авраменко, Ming Xiong, Peng Geng, G.A. Salishchev, O.N. Senkov, Ivan A. Kuznetsov, A.S. Tortika, І.V. Kolodiy and М.А. Tikhonovsky. Their work appears in journals such as Transport in Porous Media, International Journal of Heat and Mass Transfer, International Communications in Heat and Mass Transfer, Journal of Heat Transfer and Computer Methods in Biomechanics & Biomedical Engineering.

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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