Valeriy Gavrishchaka

1.4k total citations
35 papers, 1.1k citations indexed

About

Valeriy Gavrishchaka is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Valeriy Gavrishchaka has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 9 papers in Artificial Intelligence and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Valeriy Gavrishchaka's work include Ionosphere and magnetosphere dynamics (13 papers), Solar and Space Plasma Dynamics (10 papers) and Dust and Plasma Wave Phenomena (6 papers). Valeriy Gavrishchaka is often cited by papers focused on Ionosphere and magnetosphere dynamics (13 papers), Solar and Space Plasma Dynamics (10 papers) and Dust and Plasma Wave Phenomena (6 papers). Valeriy Gavrishchaka collaborates with scholars based in United States, Russia and Tajikistan. Valeriy Gavrishchaka's co-authors include G. Ganguli, Glenn Joyce, Mártin Lampe, Supriya B. Ganguli, Scott Robertson, Z. Sternovsky, M. E. Koepke, C. W. Carlson, S. P. Slinker and R. E. Ergun and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and Neurocomputing.

In The Last Decade

Valeriy Gavrishchaka

33 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valeriy Gavrishchaka United States 13 694 654 390 158 153 35 1.1k
W. S. Holland United Kingdom 26 2.1k 3.1× 120 0.2× 30 0.1× 117 0.7× 213 1.4× 97 2.5k
Mousumi Gupta India 19 844 1.2× 998 1.5× 619 1.6× 37 0.2× 106 0.7× 93 1.4k
André M. C. Souza Brazil 19 35 0.1× 439 0.7× 84 0.2× 29 0.2× 139 0.9× 97 1.6k
S. N. Walker United Kingdom 25 1.6k 2.4× 89 0.1× 547 1.4× 43 0.3× 226 1.5× 89 1.8k
Y. A. Omelchenko United States 18 511 0.7× 102 0.2× 55 0.1× 180 1.1× 222 1.5× 68 890
I. J. D. Craig New Zealand 25 1.7k 2.4× 63 0.1× 38 0.1× 72 0.5× 665 4.3× 117 2.0k
M. S. Janaki India 16 434 0.6× 366 0.6× 143 0.4× 82 0.5× 150 1.0× 100 836
B. K. Spears United States 22 37 0.1× 330 0.5× 346 0.9× 56 0.4× 968 6.3× 72 1.3k
M. P. Hobson United Kingdom 18 612 0.9× 58 0.1× 43 0.1× 56 0.4× 217 1.4× 47 952
D. C. Murphy United States 17 1.5k 2.1× 95 0.1× 26 0.1× 25 0.2× 183 1.2× 41 1.6k

Countries citing papers authored by Valeriy Gavrishchaka

Since Specialization
Citations

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

Fields of papers citing papers by Valeriy Gavrishchaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeriy Gavrishchaka

This figure shows the co-authorship network connecting the top 25 collaborators of Valeriy Gavrishchaka. A scholar is included among the top collaborators of Valeriy Gavrishchaka 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 Valeriy Gavrishchaka. Valeriy Gavrishchaka 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.
Gavrishchaka, Valeriy, et al.. (2022). Discovery of early-alert indicators using hybrid ensemble learning and generative physics-based models. 521. 224–232. 1 indexed citations
2.
Gavrishchaka, Valeriy, et al.. (2019). Leveraging Domain-expert Knowledge, Boosting and Deep Learning for Identification of Rare and Complex States. Journal of Physics Conference Series. 1207. 12016–12016. 4 indexed citations
3.
Gavrishchaka, Valeriy, et al.. (2019). Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data. Advances in Physics X. 4(1). 1582361–1582361. 23 indexed citations
4.
Gavrishchaka, Valeriy, et al.. (2014). Multi-complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics. Advances in experimental medicine and biology. 107–126. 9 indexed citations
7.
Gavrishchaka, Valeriy, et al.. (2007). Large-scale oscillations and transport processes generated by multiscale inhomogeneities in the ionospheric field-aligned flows: A 3-D simulation with a dipole magnetic field. Journal of Atmospheric and Solar-Terrestrial Physics. 69(16). 2058–2070. 2 indexed citations
8.
Gavrishchaka, Valeriy. (2006). BOOSTING-BASED FRAMEWORK FOR PORTFOLIO STRATEGY DISCOVERY AND OPTIMIZATION. New Mathematics and Natural Computation. 2(3). 315–330. 8 indexed citations
9.
Lampe, Mártin, Z. Sternovsky, Scott Robertson, et al.. (2003). Trapped ion effect on shielding, current flow, and charging of a small object in a plasma. Physics of Plasmas. 10(5). 1500–1513. 172 indexed citations
10.
Gavrishchaka, Valeriy & Supriya B. Ganguli. (2003). Volatility forecasting from multiscale and high-dimensional market data. Neurocomputing. 55(1-2). 285–305. 42 indexed citations
11.
Lampe, Mártin, et al.. (2001). Effect of Trapped Ions on Shielding of a Charged Spherical Object in a Plasma. APS. 46(2). 32 indexed citations
12.
Gavrishchaka, Valeriy & Supriya B. Ganguli. (2001). Optimization of the neural‐network geomagnetic model for forecasting large‐amplitude substorm events. Journal of Geophysical Research Atmospheres. 106(A4). 6247–6257. 20 indexed citations
13.
Lampe, Mártin, Valeriy Gavrishchaka, G. Ganguli, & Glenn Joyce. (2001). Effect of Trapped Ions on Shielding of a Charged Spherical Object in a Plasma. Physical Review Letters. 86(23). 5278–5281. 143 indexed citations
14.
Lampe, Mártin, Valeriy Gavrishchaka, G. Ganguli, & Glenn Joyce. (2001). Trapped-Ion Effect on Charging of a Dust Grain in Plasma, and Shielding Around the Grain. Physica Scripta. T98(1). 91–91. 6 indexed citations
15.
Gavrishchaka, Valeriy, G. Ganguli, W. A. Scales, et al.. (2000). Multiscale Coherent Structures and Broadband Waves due to Parallel Inhomogeneous Flows. Physical Review Letters. 85(20). 4285–4288. 61 indexed citations
16.
Lampe, Mártin, Glenn Joyce, G. Ganguli, & Valeriy Gavrishchaka. (2000). Interactions between dust grains in a dusty plasma. Physics of Plasmas. 7(10). 3851–3861. 246 indexed citations
17.
Gavrishchaka, Valeriy & Supriya B. Ganguli. (1999). Nonlinear models of the solar wind-driven auroral electrojet activity based on neural networks. APS Division of Plasma Physics Meeting Abstracts. 41. 1 indexed citations
18.
Gavrishchaka, Valeriy, Supriya B. Ganguli, & P. N. Guzdar. (1999). Three‐dimensional simulations of the ionospheric plasma transport in the presence of the structured field‐aligned flows. Journal of Geophysical Research Atmospheres. 104(A10). 22511–22524. 7 indexed citations
19.
Guzdar, P. N., et al.. (1999). Cross‐field transport due to low‐frequency oscillations in the auroral region: A three‐dimensional simulation. Journal of Geophysical Research Atmospheres. 104(A3). 4297–4304. 10 indexed citations
20.
Gavrishchaka, Valeriy, M. E. Koepke, & G. Ganguli. (1997). Ion cyclotron modes in a two‐ion‐component plasma with transverse‐velocity shear. Journal of Geophysical Research Atmospheres. 102(A6). 11653–11663. 15 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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