M. Markov

952 citations
83 papers · 745 indexed · h-index 16

M. Markov

79 papers receiving 720 citations

Peers

M. Markov
Comparison fields: 5 of 60
  • Geophysics 436
  • Ocean Engineering 299
  • Mechanics of Materials 402
  • Computational Theory and Mathematics 75
  • Mechanical Engineering 151
Replace Aleksandr Mousatov with:
Aleksandr Mousatov Mexico
T. J. T. Spanos Canada
Kurt T. Nihei United States
Norbert Gold Germany
Vladimir Tcheverda Russia
Radim Číž Australia
Galina Reshetova Russia
Eva Caspari Switzerland
M. Schoenberg Israel
M. Markov relative to Aleksandr Mousatov Mexico Aleksandr Mousatov's profile →
Citations per field
00.5×1.7×
Aleksandr Mousatov · 1×
Citations per year

Countries citing papers authored by M. Markov

Since Specialization
Citations

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

Fields of papers citing papers by M. Markov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside M. Markov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Markov Line = papers co-authored together M. Markov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20233
4 20232
5 20224
6 20199
7 20145
8 201311
9 20108
10 20106
11 20076
12 20069
13
Compressional And Shear Wave Velocities In Multicomponent Carbonate Media As Porosity Functions.
20063
14 200613
15 200516
16 200521
17 200562
18
Joint inversion of acoustic and resistivity data for carbonate microstructure evaluation
200418
19 200420
20
Thermodiffusiophoresis of a small volatile aerosol particle in a polyatomic gas mixture
19841

About M. Markov

M. Markov is a scholar working on Geophysics, Ocean Engineering and Mechanics of Materials, having authored 83 papers that have together received 745 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (51 papers), Seismic Waves and Analysis (25 papers), Drilling and Well Engineering (24 papers), Composite Material Mechanics (17 papers), Geophysical and Geoelectrical Methods (16 papers), Rock Mechanics and Modeling (15 papers), Geophysical Methods and Applications (11 papers) and Hydraulic Fracturing and Reservoir Analysis (9 papers). The work is most often cited by research in Geophysics (436 citations), Ocean Engineering (299 citations) and Mechanics of Materials (402 citations). M. Markov has collaborated with scholars based in Mexico, United States and Australia. Frequent co-authors include Aleksandr Mousatov, E. Kazatchenko, V. M. Levin, S. Kanaun, Boris Gurevich, Sergiy Sadovnychiy, Ildar Batyrshin, Leonid Sheremetov, Jorge O. Parra and Federico J. Sabina. Their work appears in journals such as International Journal of Engineering Science, Geophysical Prospecting, Transport in Porous Media, Journal of Petroleum Science and Engineering and Geophysical Journal International.

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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