V. L. Galinsky

874 total citations
57 papers, 584 citations indexed

About

V. L. Galinsky is a scholar working on Astronomy and Astrophysics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, V. L. Galinsky has authored 57 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Cognitive Neuroscience. Recurrent topics in V. L. Galinsky's work include Solar and Space Plasma Dynamics (24 papers), Ionosphere and magnetosphere dynamics (19 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). V. L. Galinsky is often cited by papers focused on Solar and Space Plasma Dynamics (24 papers), Ionosphere and magnetosphere dynamics (19 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). V. L. Galinsky collaborates with scholars based in United States, Russia and Australia. V. L. Galinsky's co-authors include Lawrence R. Frank, V. I. Shevchenko, Samuel R. Ward, David B. Berry, B. U. Ö. Sonnerup, Mikhail V. Medvedev, P. H. Diamond, G. Ganguli, M. Mithaiwala and Chris Crabtree and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and Bioinformatics.

In The Last Decade

V. L. Galinsky

55 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. L. Galinsky United States 12 235 149 111 91 56 57 584
D. Sadeh Israel 19 113 0.5× 144 1.0× 52 0.5× 73 0.8× 27 0.5× 62 1.0k
Jingnan Guo China 21 1.1k 4.7× 174 1.2× 135 1.2× 11 0.1× 81 1.4× 94 1.7k
Jan Köhler Germany 11 289 1.2× 152 1.0× 51 0.5× 10 0.1× 34 0.6× 22 752
Bent Ehresmann United States 17 602 2.6× 173 1.2× 62 0.6× 10 0.1× 54 1.0× 42 1.1k
S. Böttcher Germany 12 443 1.9× 154 1.0× 63 0.6× 9 0.1× 56 1.0× 30 921
E. Böhm Germany 9 212 0.9× 126 0.8× 47 0.4× 7 0.1× 84 1.5× 20 644
M. Francés Canada 12 108 0.5× 17 0.1× 40 0.4× 50 0.5× 146 2.6× 21 539
Akira Arai Japan 19 365 1.6× 24 0.2× 120 1.1× 41 0.5× 163 2.9× 116 1.2k
F. R. Fenrich Canada 17 825 3.5× 153 1.0× 417 3.8× 11 0.1× 83 1.5× 33 1.0k

Countries citing papers authored by V. L. Galinsky

Since Specialization
Citations

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

Fields of papers citing papers by V. L. Galinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. L. Galinsky

This figure shows the co-authorship network connecting the top 25 collaborators of V. L. Galinsky. A scholar is included among the top collaborators of V. L. Galinsky 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. L. Galinsky. V. L. Galinsky 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.
Galinsky, V. L. & Lawrence R. Frank. (2025). The wave nature of the action potential. Frontiers in Cellular Neuroscience. 19. 1467466–1467466.
2.
Frank, Lawrence R., V. L. Galinsky, Zhenhai Zhang, & F. Martin Ralph. (2024). Characterizing the dynamics of multi-scale global high impact weather events. Scientific Reports. 14(1). 18942–18942.
3.
Berry, David B., V. L. Galinsky, Elizabeth Hutchinson, et al.. (2023). Double pulsed field gradient diffusion MRI to assess skeletal muscle microstructure. Magnetic Resonance in Medicine. 90(4). 1582–1593. 2 indexed citations
4.
Galinsky, V. L. & Lawrence R. Frank. (2023). Neuronal avalanches: Sandpiles of self-organized criticality or critical dynamics of brain waves?. Frontiers of Physics. 18(4). 3 indexed citations
5.
Galinsky, V. L. & Lawrence R. Frank. (2023). Critically synchronized brain waves form an effective, robust and flexible basis for human memory and learning. Scientific Reports. 13(1). 4343–4343. 5 indexed citations
6.
Galinsky, V. L., Alexandra L. Clark, Scott F. Sorg, et al.. (2021). Diffusion MRI tractography of the locus coeruleus‐transentorhinal cortex connections using GO‐ESP. Magnetic Resonance in Medicine. 87(4). 1816–1831. 8 indexed citations
7.
Frank, Lawrence R., Timothy B. Rowe, Douglas Boyer, Lawrence M. Witmer, & V. L. Galinsky. (2021). Unveiling the third dimension in morphometry with automated quantitative volumetric computations. Scientific Reports. 11(1). 14438–14438. 4 indexed citations
8.
Frank, Lawrence R., Benjamin Zahneisen, & V. L. Galinsky. (2020). JEDI:JointEstimationDiffusionImaging of macroscopic and microscopic tissue properties. Magnetic Resonance in Medicine. 84(2). 966–990. 5 indexed citations
9.
Berry, David B., Erin K. Englund, V. L. Galinsky, Lawrence R. Frank, & Samuel R. Ward. (2020). Varying diffusion time to discriminate between simulated skeletal muscle injury models using stimulated echo diffusion tensor imaging. Magnetic Resonance in Medicine. 85(5). 2524–2536. 17 indexed citations
10.
Galinsky, V. L. & Lawrence R. Frank. (2020). Universal theory of brain waves: From linear loops to nonlinear synchronized spiking and collective brain rhythms. Physical Review Research. 2(2). 12 indexed citations
11.
Frank, Lawrence R. & V. L. Galinsky. (2016). Detecting spatio-temporal modes in multivariate data by entropy field decomposition. Journal of Physics A Mathematical and Theoretical. 49(39). 395001–395001. 9 indexed citations
12.
13.
Galinsky, V. L., et al.. (2015). The coelacanth rostral organ is a unique low-resolution electro-detector that facilitates the feeding strike. Scientific Reports. 5(1). 8962–8962. 9 indexed citations
14.
Frank, Lawrence R. & V. L. Galinsky. (2014). Information pathways in a disordered lattice. Physical Review E. 89(3). 32142–32142. 17 indexed citations
15.
Galinsky, V. L.. (2012). YOABS: yet other aligner of biological sequences—an efficient linearly scaling nucleotide aligner. Bioinformatics. 28(8). 1070–1077. 6 indexed citations
16.
Galinsky, V. L.. (2003). Automatic registration of microarray images. I. Rectangular grid. Bioinformatics. 19(14). 1824–1831. 14 indexed citations
17.
Shevchenko, V. I., R. Z. Sagdeev, V. L. Galinsky, & Mikhail V. Medvedev. (2003). The DNLS equation and parametric decay instability. Plasma Physics Reports. 29(7). 545–549. 7 indexed citations
18.
Galinsky, V. L.. (2000). 3D Radiative Transfer in Weakly Inhomogeneous Medium. Part II: Discrete Ordinate Method and Effective Algorithm for Its Inversion. Journal of the Atmospheric Sciences. 57(10). 1635–1645. 4 indexed citations
19.
Galinsky, V. L., et al.. (1999). Acceleration of the Solar Wind Ions. APS Division of Plasma Physics Meeting Abstracts. 41. 4 indexed citations
20.
Coates, A. J., et al.. (1991). Singularities in mass‐loaded MHD flow: The cometary bow shock. Geophysical Research Letters. 18(8). 1509–1512. 9 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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