Igor Tsukrov

4.4k total citations
120 papers, 3.5k citations indexed

About

Igor Tsukrov is a scholar working on Mechanics of Materials, Mechanical Engineering and Global and Planetary Change. According to data from OpenAlex, Igor Tsukrov has authored 120 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Mechanics of Materials, 35 papers in Mechanical Engineering and 24 papers in Global and Planetary Change. Recurrent topics in Igor Tsukrov's work include Composite Material Mechanics (36 papers), Mechanical Behavior of Composites (28 papers) and Marine Bivalve and Aquaculture Studies (22 papers). Igor Tsukrov is often cited by papers focused on Composite Material Mechanics (36 papers), Mechanical Behavior of Composites (28 papers) and Marine Bivalve and Aquaculture Studies (22 papers). Igor Tsukrov collaborates with scholars based in United States, Germany and China. Igor Tsukrov's co-authors include Mark Kachanov, Barbaros Çelıkkol, Boris Shafiro, Michael Swift, David W. Fredriksson, Judson DeCew, Borys Drach, Andrew Drach, Marko Knežević and T.S. Gross and has published in prestigious journals such as Carbon, Corrosion Science and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Igor Tsukrov

116 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Tsukrov United States 30 1.4k 962 882 600 475 120 3.5k
Sergey N. Grigoriev Russia 53 2.4k 1.7× 4.7k 4.9× 768 0.9× 345 0.6× 1.9k 3.9× 405 7.5k
Peter Niemz Switzerland 39 1.1k 0.7× 2.1k 2.2× 127 0.1× 117 0.2× 145 0.3× 330 6.1k
Zhiqun Deng United States 38 523 0.4× 894 0.9× 405 0.5× 766 1.3× 520 1.1× 213 6.3k
Sanjay R. Arwade United States 29 455 0.3× 859 0.9× 75 0.1× 426 0.7× 173 0.4× 120 2.8k
Aamir Shabbir United States 17 307 0.2× 1.5k 1.6× 182 0.2× 589 1.0× 195 0.4× 35 5.7k
T. Staffan Lundström Sweden 34 1.2k 0.9× 1.8k 1.8× 41 0.0× 296 0.5× 178 0.4× 243 3.9k
Richard Arsenault United States 43 1.1k 0.8× 5.1k 5.3× 2.1k 2.3× 190 0.3× 2.5k 5.2× 219 8.7k
Г. В. Кузнецов Russia 37 398 0.3× 2.4k 2.5× 296 0.3× 624 1.0× 332 0.7× 514 5.4k
Xiaolei Zhang China 36 243 0.2× 151 0.2× 1.3k 1.5× 1.1k 1.9× 128 0.3× 154 3.7k
Michael P. Schultz United States 43 329 0.2× 1.3k 1.4× 1.7k 1.9× 4.0k 6.6× 233 0.5× 90 6.9k

Countries citing papers authored by Igor Tsukrov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Tsukrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Tsukrov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Tsukrov. A scholar is included among the top collaborators of Igor Tsukrov 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 Igor Tsukrov. Igor Tsukrov 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.
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Tsukrov, Igor, et al.. (2025). Toughness measures in solid-state composites of ultra-high molecular weight polyethylene. Journal of the mechanical behavior of biomedical materials. 171. 107136–107136.
3.
Tsukrov, Igor, et al.. (2024). Mesoscale models for effective elastic properties of carbon-black/ultra-high-molecular-weight-polyethylene nanocomposites. International Journal of Engineering Science. 205. 104159–104159. 4 indexed citations
4.
Zhu, Longhuan, et al.. (2024). Hydrodynamic modeling of kelp (Saccharina latissima) farms: From an aggregate of kelp to a single line cultivation system. Ocean Engineering. 314. 119519–119519. 2 indexed citations
5.
Fredriksson, David W., et al.. (2024). Design considerations for a continuous mussel farm in New England Offshore waters. Part I: Development of environmental conditions for engineering design. Aquacultural Engineering. 107. 102476–102476. 2 indexed citations
6.
DeCew, Judson, et al.. (2021). Floating protective barriers: evaluation of seaworthiness through physical testing, numerical simulations and field deployment. Ocean Engineering. 227. 108707–108707. 5 indexed citations
7.
Drach, Borys, et al.. (2019). Applicability of two-step homogenization to high-crimp woven composites. Composite Structures. 226. 111157–111157. 6 indexed citations
8.
Drach, Borys, et al.. (2018). On micromechanical modeling of orthotropic solids with parallel cracks. International Journal of Solids and Structures. 144-145. 46–58. 7 indexed citations
9.
Drach, Borys, Igor Tsukrov, Anton Trofimov, T.S. Gross, & Andrew Drach. (2018). Comparison of stress-based failure criteria for prediction of curing induced damage in 3D woven composites. Composite Structures. 189. 366–377. 16 indexed citations
10.
11.
Drach, Borys, Igor Tsukrov, & Anton Trofimov. (2016). Comparison of full field and single pore approaches to homogenization of linearly elastic materials with pores of regular and irregular shapes. International Journal of Solids and Structures. 96. 48–63. 49 indexed citations
12.
Tsukrov, Igor, et al.. (2016). Homogenization of Linearly Elastic Materials with Pores of Irregular Shapes via Direct FEA and Single Pore Approaches. 1 indexed citations
13.
Drach, Borys, Andrew Drach, & Igor Tsukrov. (2014). Prediction of the effective elastic moduli of materials with irregularly-shaped pores based on the pore projected areas. International Journal of Solids and Structures. 51(14). 2687–2695. 11 indexed citations
14.
Drach, Andrew, et al.. (2013). REALISTIC FEA MODELING OF 3D WOVEN COMPOSITES ON MESOSCALE. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
15.
Drach, Andrew, Borys Drach, & Igor Tsukrov. (2013). Processing of fiber architecture data for finite element modeling of 3D woven composites. Advances in Engineering Software. 72. 18–27. 77 indexed citations
16.
Drach, Borys, Igor Tsukrov, T.S. Gross, et al.. (2011). Numerical modeling of carbon/carbon composites with nanotextured matrix and 3D pores of irregular shapes. International Journal of Solids and Structures. 48(18). 2447–2457. 66 indexed citations
17.
Tsukrov, Igor, Andrew Drach, Judson DeCew, Michael Swift, & Barbaros Çelıkkol. (2011). Characterization of geometry and normal drag coefficients of copper nets. Ocean Engineering. 38(17-18). 1979–1988. 103 indexed citations
18.
Tsukrov, Igor & Borys Drach. (2009). Elastic deformation of composite cylinders with cylindrically orthotropic layers. International Journal of Solids and Structures. 47(1). 25–33. 44 indexed citations
19.
Tsukrov, Igor, et al.. (2006). Analysis Of Diffusional Stress Relaxation InSubmicron Cu Interconnect Structures UsingThe Model With Enhanced Vacancy DiffusivityIn Grain Boundary Region. WIT transactions on the built environment. 85. 685–694. 1 indexed citations
20.
Tsukrov, Igor & Mark Kachanov. (1998). Anisotropic Material with Arbitrarily Oriented Cracks and Elliptical Holes: Effective Elastic Moduli. International Journal of Fracture. 92(1). 9–14. 6 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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