Alexander Churbanov

1.0k citations
37 papers · 713 indexed · h-index 15
    • Advanced Numerical Methods in Computational Mathematics 6
    • Computational Fluid Dynamics and Aerodynamics 4
    • Heat and Mass Transfer in Porous Media 3
    • RNA and protein synthesis mechanisms 8
    • Genomics and Phylogenetic Studies 6
    • RNA Research and Splicing 6
    • Machine Learning in Bioinformatics 4
    • RNA modifications and cancer 4

Alexander Churbanov

33 papers receiving 686 citations

Peers

Alexander Churbanov
Comparison fields: 5 of 110
  • Endocrinology 85
  • Computational Mechanics 92
  • Molecular Biology 277
  • Insect Science 49
  • Plant Science 137
Replace Takeshi Kano with:
Takeshi Kano Japan
Tao Feng China
Kehong Liu China
Yanji Xu China
Raf M. Podowski Sweden
Robert E. Stephenson United States
Fang Ji China
Moisés Santillán Mexico
James McKelvie New Zealand
Alexander Churbanov relative to Takeshi Kano Japan Takeshi Kano's profile →
Citations per field
00.5×3.3×
Takeshi Kano · 1×
Citations per year

Countries citing papers authored by Alexander Churbanov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Churbanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Alexander Churbanov, 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 Alexander Churbanov Line = papers co-authored together Alexander Churbanov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20210
2 201411
3 201352
4 201216
5 2011109
6 201166
7 201129
8 201015
9 20095
10 20099
11 200834
12 200821
13 20089
14 200821
15 200715
16 200622
17 20056
18 200587
19
A Multi-Block Orthogonal Grid Generation Using CAD System.
19992
20 199433

About Alexander Churbanov

Alexander Churbanov is a scholar working on Computational Mechanics, Numerical Analysis and Computer Graphics and Computer-Aided Design, having authored 37 papers that have together received 713 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (6 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), RNA Research and Splicing (6 papers), Machine Learning in Bioinformatics (4 papers), RNA modifications and cancer (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Heat and Mass Transfer in Porous Media (3 papers). The work is most often cited by research in Endocrinology (85 citations), Computational Mechanics (92 citations) and Molecular Biology (277 citations). Alexander Churbanov has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Stephen Winters‐Hilt, Petr N. Vabishchevich, Oleg Iliev, Brook G. Milligan, A.A. Samarskii, Gil H. Choi, Angus L. Dawe, Myron L. Smith, Donald L. Nuss and Michael G. Milgroom. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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