A. V. Goncharsky

3.0k total citations · 1 hit paper
29 papers, 1.9k citations indexed

About

A. V. Goncharsky is a scholar working on Mathematical Physics, Biomedical Engineering and Ocean Engineering. According to data from OpenAlex, A. V. Goncharsky has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mathematical Physics, 11 papers in Biomedical Engineering and 7 papers in Ocean Engineering. Recurrent topics in A. V. Goncharsky's work include Numerical methods in inverse problems (13 papers), Microwave Imaging and Scattering Analysis (9 papers) and Seismic Imaging and Inversion Techniques (7 papers). A. V. Goncharsky is often cited by papers focused on Numerical methods in inverse problems (13 papers), Microwave Imaging and Scattering Analysis (9 papers) and Seismic Imaging and Inversion Techniques (7 papers). A. V. Goncharsky collaborates with scholars based in Russia, Tajikistan and Finland. A. V. Goncharsky's co-authors include А. Н. Тихонов, A. G. Yagola, В. В. Степанов, Anatoly B. Bakushinsky, С. Романов, А.Б. Бакушинский, Е. Г. Базулин, C. W. Groetsch, A. S. Leonov and S. Seatzu and has published in prestigious journals such as Scientific Reports, Optics Express and Mathematics of Computation.

In The Last Decade

A. V. Goncharsky

27 papers receiving 1.8k citations

Hit Papers

Numerical Methods for the Solution of Ill-Posed Problems 1995 2026 2005 2015 1995 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Numerical Methods for the Solution of Ill-Posed Problems
    1995 1.2k citations А. Н. Тихонов, A. V. Goncharsky et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. V. Goncharsky Russia 12 707 477 347 235 217 29 1.9k
A. G. Yagola Russia 16 713 1.0× 428 0.9× 321 0.9× 377 1.6× 250 1.2× 152 2.5k
Ronny Ramlau Austria 24 708 1.0× 488 1.0× 176 0.5× 423 1.8× 277 1.3× 118 1.6k
Curtis R. Vogel United States 20 541 0.8× 693 1.5× 213 0.6× 577 2.5× 480 2.2× 38 2.8k
Sergey Kabanikhin Russia 19 911 1.3× 290 0.6× 272 0.8× 173 0.7× 76 0.4× 134 1.6k
C. R. Vogel United States 14 730 1.0× 459 1.0× 205 0.6× 834 3.5× 185 0.9× 29 2.4k
В. В. Степанов Russia 6 330 0.5× 259 0.5× 194 0.6× 181 0.8× 168 0.8× 32 1.3k
Alfred K. Louis Germany 28 1.1k 1.6× 790 1.7× 281 0.8× 430 1.8× 276 1.3× 99 2.7k
Serena Morigi Italy 20 364 0.5× 215 0.5× 146 0.4× 558 2.4× 123 0.6× 83 1.4k
Bo Han China 21 455 0.6× 183 0.4× 191 0.6× 197 0.8× 180 0.8× 181 1.8k
Barbara Kaltenbacher Austria 24 1.7k 2.4× 606 1.3× 617 1.8× 672 2.9× 288 1.3× 132 2.6k

Countries citing papers authored by A. V. Goncharsky

Since Specialization
Citations

This map shows the geographic impact of A. V. Goncharsky'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. Goncharsky 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. Goncharsky more than expected).

Fields of papers citing papers by A. V. Goncharsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. V. Goncharsky

This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Goncharsky. A scholar is included among the top collaborators of A. V. Goncharsky 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 A. V. Goncharsky. A. V. Goncharsky 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.
Goncharsky, A. V., et al.. (2024). Diffractive optical elements on non-planar surfaces for the formation of color 3D images. Applied Optics. 63(24). 6371–6371.
2.
Goncharsky, A. V., et al.. (2024). On mathematical problems of two-coefficient inverse problems of ultrasonic tomography. Inverse Problems. 40(4). 45026–45026. 4 indexed citations
3.
Базулин, Е. Г., et al.. (2023). Ultrasound Tomography Based on the Inverse Coefficient Problem as a Way to Combat Pattern Noise. Russian Journal of Nondestructive Testing. 59(10). 1005–1017. 1 indexed citations
4.
Goncharsky, A. V., et al.. (2022). Synthesis of nano-optical elements for zero-order diffraction 3D imaging. Scientific Reports. 12(1). 8639–8639. 2 indexed citations
5.
Goncharsky, A. V., et al.. (2022). Multistage Iterative Method to Tackle Inverse Problems of Wave Tomography. Supercomputing Frontiers and Innovations. 9(1).
6.
Базулин, Е. Г., et al.. (2022). Ultrasound transmission and reflection tomography for nondestructive testing using experimental data. Ultrasonics. 124. 106765–106765. 7 indexed citations
7.
8.
Goncharsky, A. V., et al.. (2021). Nanooptical elements for visual verification. Scientific Reports. 11(1). 2426–2426. 5 indexed citations
9.
Goncharsky, A. V., et al.. (2019). Low-Frequency Ultrasonic Tomography: Mathematical Methods and Experimental Results. Moscow University Physics Bulletin. 74(1). 43–51. 11 indexed citations
10.
Goncharsky, A. V., et al.. (2019). Comparison of the capabilities of GPU clusters and general-purpose supercomputers for solving 3D inverse problems of ultrasound tomography. Journal of Parallel and Distributed Computing. 133. 77–92. 3 indexed citations
11.
Goncharsky, A. V. & С. Романов. (2018). A method of solving the coefficient inverse problems of wave tomography. Computers & Mathematics with Applications. 77(4). 967–980. 18 indexed citations
12.
Базулин, Е. Г., et al.. (2018). Parallel CPU- and GPU-Algorithms for Inverse Problems in Nondestructive Testing. Lobachevskii Journal of Mathematics. 39(4). 486–493. 8 indexed citations
13.
Goncharsky, A. V., et al.. (2017). High-resolution full-parallax computer-generated holographic stereogram created by e-beam technology. Optical Engineering. 56(6). 1–1. 8 indexed citations
14.
Goncharsky, A. V., et al.. (2016). A computer simulation study of soft tissue characterization using low-frequency ultrasonic tomography. Ultrasonics. 67. 136–150. 37 indexed citations
15.
Goncharsky, A. V., et al.. (2016). Diffractive optical element for creating visual 3D images. Optics Express. 24(9). 9140–9140. 25 indexed citations
16.
Goncharsky, A. V. & С. Романов. (2014). Inverse problems of ultrasound tomography in models with attenuation. Physics in Medicine and Biology. 59(8). 1979–2004. 20 indexed citations
17.
Goncharsky, A. V. & С. Романов. (2013). Supercomputer technologies in inverse problems of ultrasound tomography. Inverse Problems. 29(7). 75004–75004. 39 indexed citations
18.
Goncharsky, A. V., et al.. (1994). On the identification of velocity in seismic and in acoustic sounding. 1 indexed citations
19.
Groetsch, C. W., А. Н. Тихонов, & A. V. Goncharsky. (1989). Ill-Posed Problems in the Natural Sciences. Mathematics of Computation. 53(187). 445–445. 7 indexed citations
20.
Goncharsky, A. V., A. S. Leonov, & A. G. Yagola. (1972). A generalization of the discrepancy principle for the case of an operator specified with error. Doklady Mathematics. 13. 525–527. 3 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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