В. В. Некруткин
- Applied Mathematics top 1%
- Statistical and numerical algorithms 7
- Signal Processing top 5%
- Oceanography top 10%
- Geophysics and Gravity Measurements 3
-
- Image and Signal Denoising Methods 4
- Chaos-based Image/Signal Encryption 2
-
- Computability, Logic, AI Algorithms 2
-
- advanced mathematical theories 2
-
- Spectroscopy and Chemometric Analyses 2
-
- Stochastic processes and financial applications 2
- Journals
- Journal of Statistical Planning and Inference (2 papers)Acta Applicandae Mathematicae (1 paper)Monte Carlo Methods and Applications (7 papers)
- Partner nations
- Russia
In The Last Decade
В. В. Некруткин
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Applied Mathematics 617
- Signal Processing 201
- Management Science and Operations Research 177
- Oceanography 127
- Computer Vision and Pattern Recognition 129
Countries citing papers authored by В. В. Некруткин
This map shows the geographic impact of В. В. Некруткин'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. В. Некруткин with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites В. В. Некруткин more than expected).
Fields of papers citing papers by В. В. Некруткин
This network shows the impact of papers produced by В. В. Некруткин. 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. В. Некруткин. The network helps show where В. В. Некруткин may publish in the future.
Co-authorship network
The 4 scholars most cited alongside В. В. Некруткин, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2016 | 2 | |
| 6 | 2013 | 2 | |
| 7 | 2007 | 1 | |
| 8 | 2005 | 1 | |
| 9 | 2004 | 0 | |
| 10 | 2002 | 0 | |
| 11 | 2002 | 4 | |
| 12 | 2001 | 163 | |
| 13 | Analysis of Time Series Structure: SSA and related techniquesbreakdown → | 2001 | 567 |
| 14 | Analysis of Time Series Structurebreakdown → | 2001 | 524 |
| 15 | 1999 | 1 | |
| 16 | 1997 | 0 | |
| 17 | 1989 | 58 | |
| 18 | 1989 | 1 | |
| 19 | 1986 | 0 | |
| 20 | 1980 | 2 |
About В. В. Некруткин
В. В. Некруткин is a scholar working on Applied Mathematics, Numerical Analysis and Mathematical Physics, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical and numerical algorithms (7 papers), Image and Signal Denoising Methods (4 papers), Geophysics and Gravity Measurements (3 papers), Computability, Logic, AI Algorithms (2 papers), Chaos-based Image/Signal Encryption (2 papers), advanced mathematical theories (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Applied Mathematics (617 citations), Signal Processing (201 citations) and Management Science and Operations Research (177 citations). В. В. Некруткин has collaborated with scholars based in Russia. Frequent co-authors include Nina Golyandina, Anatoly Zhigljavsky, А. С. Тихомиров and Pavel Potapov. Their work appears in journals such as Journal of Statistical Planning and Inference, Acta Applicandae Mathematicae and Monte Carlo Methods and Applications.
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.