V. G. Yakhno
- Mechanics of Materials top 10%
- Mathematical Physics top 10%
- Atomic and Molecular Physics, and Optics
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Roland PotthastAlfredo LorenziД.С. ЧернавскийA. L. KarchevskyPaul SacksCaner ÖzdemirTatiana YakhnoTzuyang Yu
- Topics
- Numerical methods in inverse problems (16 papers)Electromagnetic Scattering and Analysis (15 papers)Electromagnetic Simulation and Numerical Methods (9 papers)
In The Last Decade
V. G. Yakhno
44 papers receiving 362 citations
Peers
Comparison fields: 5 of 73
- Mechanics of Materials 110
- Mathematical Physics 102
- Atomic and Molecular Physics, and Optics 67
- Computer Networks and Communications 62
- Electrical and Electronic Engineering 62
Countries citing papers authored by V. G. Yakhno
This map shows the geographic impact of V. G. Yakhno'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 V. G. Yakhno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. G. Yakhno more than expected).
Fields of papers citing papers by V. G. Yakhno
This network shows the impact of papers produced by V. G. Yakhno. 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 V. G. Yakhno. The network helps show where V. G. Yakhno may publish in the future.
Co-authorship network of co-authors of V. G. Yakhno
This figure shows the co-authorship network connecting the top 25 collaborators of V. G. Yakhno. A scholar is included among the top collaborators of V. G. Yakhno 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 V. G. Yakhno. V. G. Yakhno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | Two-dimensional inverse problem for a system of dynamic Lamé equations | 1 |
| 17 | Multidimensional inverse dynamical problem of isotropic elasticity | 1 |
| 18 | 41 | |
| 19 | One-dimensional inverse problem of anisotropic elasticity for string sources | 1 |
| 20 | 0 |
About V. G. Yakhno
V. G. Yakhno is a scholar working on Mathematical Physics, Mechanics of Materials and Applied Mathematics, having authored 51 papers that have together received 393 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (16 papers), Electromagnetic Scattering and Analysis (15 papers) and Electromagnetic Simulation and Numerical Methods (9 papers). The work is most often cited by research in Mathematical Physics (102 citations), Modeling and Simulation (23 citations) and Statistical and Nonlinear Physics (59 citations). V. G. Yakhno has collaborated with scholars based in Türkiye, Russia and Germany. Frequent co-authors include Roland Potthast, Alfredo Lorenzi, Д.С. Чернавский, A. L. Karchevsky, Paul Sacks, Caner Özdemir, Tatiana Yakhno and Tzuyang Yu. Their work appears in journals such as International Journal of Solids and Structures, Journal of Mathematical Analysis and Applications and Computers & Structures.
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.