Alexei Bolshakov

2.8k total citations · 1 hit paper
29 papers, 2.2k citations indexed

About

Alexei Bolshakov is a scholar working on Mechanics of Materials, Ocean Engineering and Geophysics. According to data from OpenAlex, Alexei Bolshakov has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanics of Materials, 14 papers in Ocean Engineering and 9 papers in Geophysics. Recurrent topics in Alexei Bolshakov's work include Metal and Thin Film Mechanics (11 papers), Drilling and Well Engineering (9 papers) and Seismic Imaging and Inversion Techniques (9 papers). Alexei Bolshakov is often cited by papers focused on Metal and Thin Film Mechanics (11 papers), Drilling and Well Engineering (9 papers) and Seismic Imaging and Inversion Techniques (9 papers). Alexei Bolshakov collaborates with scholars based in United States, China and United Kingdom. Alexei Bolshakov's co-authors include George M. Pharr, W. C. Oliver, Jack C. Hay, Xiaoming Tang, Ting Y. Tsui, Jennifer L. Hay, Y. C. Angel, James Leggett, C. Harrison and Paweł J. Matuszyk and has published in prestigious journals such as The Journal of the Acoustical Society of America, Geophysics and Journal of materials research/Pratt's guide to venture capital sources.

In The Last Decade

Alexei Bolshakov

26 papers receiving 2.1k citations

Hit Papers

Influences of pileup on the measurement of mechanical pro... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexei Bolshakov United States 13 1.8k 1.2k 775 555 488 29 2.2k
С. Н. Дуб Ukraine 27 1.5k 0.9× 1.9k 1.6× 1.1k 1.4× 554 1.0× 265 0.5× 136 2.7k
Marc Fivel France 31 1.3k 0.7× 2.1k 1.8× 1.6k 2.1× 287 0.5× 191 0.4× 108 3.0k
G.M. Pharr United States 15 1.5k 0.8× 1.5k 1.3× 2.6k 3.4× 449 0.8× 285 0.6× 18 3.9k
Kazuhisa Miyoshi United States 28 1.6k 0.9× 1.3k 1.1× 1.3k 1.6× 132 0.2× 202 0.4× 146 2.3k
Jorge Alcalá Spain 21 1.2k 0.7× 1.4k 1.2× 796 1.0× 641 1.2× 426 0.9× 58 2.3k
Pal Molian United States 31 1.0k 0.6× 1.4k 1.2× 1.4k 1.8× 1.0k 1.8× 167 0.3× 147 3.3k
Siddhartha Pathak United States 26 1.1k 0.6× 1.6k 1.3× 1.0k 1.3× 377 0.7× 311 0.6× 54 2.2k
Ranjana Saha United States 6 1.2k 0.7× 1.1k 0.9× 767 1.0× 364 0.7× 245 0.5× 9 1.9k
P. Sudharshan Phani India 27 883 0.5× 977 0.8× 1.2k 1.6× 147 0.3× 159 0.3× 71 2.0k
Andreas Kailer Germany 24 976 0.5× 999 0.9× 968 1.2× 708 1.3× 439 0.9× 79 2.1k

Countries citing papers authored by Alexei Bolshakov

Since Specialization
Citations

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

Fields of papers citing papers by Alexei Bolshakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexei Bolshakov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Bolshakov. A scholar is included among the top collaborators of Alexei Bolshakov 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 Alexei Bolshakov. Alexei Bolshakov 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
3.
Sullivan, Michael J., et al.. (2020). Lessons Learned From Casedhole Formation Evaluation Along Unconventional Horizontal Wells. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 61(3). 253–272. 1 indexed citations
4.
Horne, Stephen, R. Coates, & Alexei Bolshakov. (2019). Do dipole sonic logs measure group or phase velocity (revisited)?. Geophysics. 84(6). C311–C322.
5.
Hornby, Brian, et al.. (2018). Reflection sonic imaging of complex near-borehole structure in slow formations. 684–688. 4 indexed citations
6.
Bolshakov, Alexei, et al.. (2015). Utilization of Electromagnetic Acoustic Transducers in Downhole Cement Evaluation. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 56(5). 479–492. 11 indexed citations
7.
Bolshakov, Alexei, et al.. (2013). Unconventional Reservoir Fracture Evaluation Utilizing Deep Shear-Wave Imaging. International Petroleum Technology Conference. 11 indexed citations
8.
Tang, Xiaoming, et al.. (2011). Integrated Acoustic Evaluation of Reservoir Fractures: From Borehole Out Into the Formation. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 52(3). 199–206. 3 indexed citations
9.
Bolshakov, Alexei, et al.. (2011). Deep Fracture Imaging Around the Wellbore Using Dipole Acoustic Logging. SPE Annual Technical Conference and Exhibition. 18 indexed citations
10.
Bolshakov, Alexei, et al.. (2009). APPLICATION OF SPECIAL FILTERING TECHNIQUES IN THE ANALYSIS OF EMAT DATA. AIP conference proceedings. 596–603. 2 indexed citations
11.
Tang, Xiaoming, et al.. (2003). Shear-Velocity Measurement In The Logging-While- Drilling Environment: Modeling And Field Evaluations. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 44(2). 79–89. 36 indexed citations
12.
Tang, Xiaoming, et al.. (2003). Engineering Aspects of LWD Quadrupole Measurements and Field Test Results. SPE Annual Technical Conference and Exhibition. 6 indexed citations
13.
Pharr, George M. & Alexei Bolshakov. (2002). Understanding nanoindentation unloading curves. Journal of materials research/Pratt's guide to venture capital sources. 17(10). 2660–2671. 388 indexed citations
14.
Leggett, James, et al.. (2001). Field Test Results Demonstrating Improved Real-Time Data Quality in an Advanced LWD Acoustic System. SPE Annual Technical Conference and Exhibition. 23 indexed citations
15.
Hay, Jack C., Alexei Bolshakov, & George M. Pharr. (1999). A critical examination of the fundamental relations used in the analysis of nanoindentation data. Journal of materials research/Pratt's guide to venture capital sources. 14(6). 2296–2305. 345 indexed citations
16.
Bolshakov, Alexei & George M. Pharr. (1998). Influences of pileup on the measurement of mechanical properties by load and depth sensing indentation techniques. Journal of materials research/Pratt's guide to venture capital sources. 13(4). 1049–1058. 771 indexed citations breakdown →
17.
Hay, Jack C., Alexei Bolshakov, & George M. Pharr. (1998). Applicability of Sneddon Relationships to the Real Case of a Rigid Cone Penetrating an Infinite Half Space. MRS Proceedings. 522. 7 indexed citations
18.
Angel, Y. C. & Alexei Bolshakov. (1997). Oblique coherent waves inside and outside a randomly cracked elastic solid. The Journal of the Acoustical Society of America. 102(6). 3290–3299. 5 indexed citations
19.
Pharr, George M., Alexei Bolshakov, Ting Y. Tsui, & Jack C. Hay. (1997). Nanoindentation of Soft Films On Hard Substrates: Experiments And Finite Element Simulations. MRS Proceedings. 505. 16 indexed citations
20.
Pharr, George M., Ting Y. Tsui, Alexei Bolshakov, & W. C. Oliver. (1994). Effects of Residual Stress on the Measurement of Hardness and Elastic Modulus using Nanoindentation. MRS Proceedings. 338. 40 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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