E. Kazatchenko

453 total citations
29 papers, 360 citations indexed

About

E. Kazatchenko is a scholar working on Geophysics, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, E. Kazatchenko has authored 29 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Geophysics, 14 papers in Mechanics of Materials and 13 papers in Ocean Engineering. Recurrent topics in E. Kazatchenko's work include Seismic Imaging and Inversion Techniques (15 papers), Geophysical and Geoelectrical Methods (11 papers) and Drilling and Well Engineering (8 papers). E. Kazatchenko is often cited by papers focused on Seismic Imaging and Inversion Techniques (15 papers), Geophysical and Geoelectrical Methods (11 papers) and Drilling and Well Engineering (8 papers). E. Kazatchenko collaborates with scholars based in Mexico, United States and China. E. Kazatchenko's co-authors include Aleksandr Mousatov, M. Markov, Jorge O. Parra, V. M. Levin, Jianxin Wei and Pinbo Ding and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Applied Physics and Geophysics.

In The Last Decade

E. Kazatchenko

27 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Kazatchenko Mexico 12 208 202 145 89 41 29 360
M. Markov Mexico 16 402 1.9× 436 2.2× 299 2.1× 151 1.7× 75 1.8× 83 745
Radim Číž Australia 11 160 0.8× 319 1.6× 209 1.4× 177 2.0× 14 0.3× 22 419
Pratap N. Sahay Mexico 12 163 0.8× 267 1.3× 117 0.8× 135 1.5× 13 0.3× 36 357
Norbert Gold Germany 5 121 0.6× 437 2.2× 226 1.6× 94 1.1× 27 0.7× 7 539
Ove Bjørn Wilson Netherlands 12 208 1.0× 60 0.3× 273 1.9× 160 1.8× 14 0.3× 19 388
Mridul Kumar Netherlands 11 156 0.8× 59 0.3× 391 2.7× 209 2.3× 21 0.5× 36 485
Maxim Chertov Russia 9 203 1.0× 76 0.4× 213 1.5× 238 2.7× 7 0.2× 23 322
Zhishang Liu Australia 5 236 1.1× 42 0.2× 330 2.3× 117 1.3× 22 0.5× 8 416
A. Sakellariou Australia 6 216 1.0× 69 0.3× 255 1.8× 130 1.5× 10 0.2× 8 354
Denis P. Schmitt United States 12 130 0.6× 404 2.0× 323 2.2× 87 1.0× 7 0.2× 29 529

Countries citing papers authored by E. Kazatchenko

Since Specialization
Citations

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

Fields of papers citing papers by E. Kazatchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Kazatchenko

This figure shows the co-authorship network connecting the top 25 collaborators of E. Kazatchenko. A scholar is included among the top collaborators of E. Kazatchenko 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 E. Kazatchenko. E. Kazatchenko 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.
2.
Mousatov, Aleksandr, et al.. (2018). Computation of continuum percolation threshold for pore systems composed of vugs and fractures. Computers & Geosciences. 116. 53–63. 15 indexed citations
3.
Markov, M., et al.. (2017). Effective electromagnetic properties of microheterogeneous materials with surface phenomena. The European Physical Journal B. 90(10). 6 indexed citations
4.
Markov, M., et al.. (2015). Effective thermal conductivity of inhomogeneous medium containing gas‐filled inclusions. Mathematical Methods in the Applied Sciences. 40(9). 3283–3289. 4 indexed citations
5.
Mousatov, Aleksandr, et al.. (2015). Modeling and inversion of elastic wave velocities and electrical conductivity in clastic formations with structural and dispersed shales. Journal of Applied Geophysics. 116. 28–42. 24 indexed citations
6.
Markov, M., et al.. (2013). Novel approach for simulating the elastic properties of porous rocks including the critical porosity phenomena. Geophysics. 78(4). L37–L44. 11 indexed citations
7.
Markov, M., V. M. Levin, Aleksandr Mousatov, & E. Kazatchenko. (2012). Generalized DEM model for the effective conductivity of a two-dimensional percolating medium. International Journal of Engineering Science. 58. 78–84. 8 indexed citations
8.
Markov, M., et al.. (2011). The dielectric permittivity of carbonate formations from the unified microstructure model. Journal of Applied Geophysics. 76. 56–63. 7 indexed citations
9.
Markov, M., et al.. (2009). Permeability of the Fluid-Filled Inclusions in Porous Media. Transport in Porous Media. 84(2). 307–317. 20 indexed citations
10.
Mousatov, Aleksandr, et al.. (2007). Conductivity of Double-Porosity Carbonate Formations Saturated with Water – Oil Mixtures. 69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007.
11.
Kazatchenko, E., et al.. (2006). Simulation of the Electrical Resistivity of Dual-Porosity Carbonate Formations Saturated with Fluid Mixtures. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 47(1). 23–36. 9 indexed citations
12.
Markov, M., E. Kazatchenko, & Aleksandr Mousatov. (2006). Compressional And Shear Wave Velocities In Multicomponent Carbonate Media As Porosity Functions.. 3 indexed citations
13.
Kazatchenko, E., et al.. (2006). Reconstruction Of The S-Wave Velocity Log In Carbonate Formations. 2 indexed citations
14.
Kazatchenko, E., et al.. (2006). Prediction of the s-wave velocity in carbonate formation using joint inversion of conventional well logs. Journal of Geophysics and Engineering. 3(4). 386–399. 11 indexed citations
15.
Kazatchenko, E., M. Markov, & Aleksandr Mousatov. (2005). Simulation of acoustic velocities, electrical and thermal conductivities using unified pore-structure model of double-porosity carbonate rocks. Journal of Applied Geophysics. 59(1). 16–35. 21 indexed citations
16.
Markov, M., et al.. (2005). Elastic properties of double‐porosity rocks using the differential effective medium model. Geophysical Prospecting. 53(5). 733–754. 62 indexed citations
17.
Kazatchenko, E., M. Markov, & Aleksandr Mousatov. (2004). Joint inversion of acoustic and resistivity data for carbonate microstructure evaluation. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 45(2). 130–140. 18 indexed citations
18.
Markov, M., E. Kazatchenko, & Aleksandr Mousatov. (2004). Prediction Of The Acoustic Velocities, Electrical And Thermal Conductivities Of Carbonate Formations Applying Self-Consistent Methods.. 1 indexed citations
19.
Kazatchenko, E., M. Markov, & Aleksandr Mousatov. (2004). Simulation of full‐waveform log in saturated cracked formations using Hudson's approach. Geophysical Prospecting. 53(1). 65–73. 3 indexed citations
20.
Kazatchenko, E. & Aleksandr Mousatov. (2002). Primary and Secondary Porosity Estimation of Carbonate Formations Using Total Porosity and the Formation Factor. SPE Annual Technical Conference and Exhibition. 16 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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