Dmitry Eskin

13.9k total citations · 2 hit papers
322 papers, 10.7k citations indexed

About

Dmitry Eskin is a scholar working on Mechanical Engineering, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Dmitry Eskin has authored 322 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Mechanical Engineering, 189 papers in Aerospace Engineering and 137 papers in Materials Chemistry. Recurrent topics in Dmitry Eskin's work include Aluminum Alloy Microstructure Properties (185 papers), Aluminum Alloys Composites Properties (111 papers) and Metallurgical Processes and Thermodynamics (48 papers). Dmitry Eskin is often cited by papers focused on Aluminum Alloy Microstructure Properties (185 papers), Aluminum Alloys Composites Properties (111 papers) and Metallurgical Processes and Thermodynamics (48 papers). Dmitry Eskin collaborates with scholars based in United Kingdom, Russia and Netherlands. Dmitry Eskin's co-authors include L. Katgerman, Iakovos Tzanakis, Н. А. Белов, Suyitno Suyitno, G. I. Éskin, Jiawei Mi, K. Pericleous, Bruno Lebon, Qiang Du and Feng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Acta Materialia.

In The Last Decade

Dmitry Eskin

313 papers receiving 10.4k citations

Hit Papers

Mechanical properties in the semi-solid state and hot tea... 2003 2026 2010 2018 2003 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitry Eskin United Kingdom 56 7.7k 6.6k 5.1k 1.6k 1.0k 322 10.7k
Xiaoyan Zeng China 67 12.9k 1.7× 1.7k 0.3× 2.4k 0.5× 2.3k 1.5× 844 0.8× 303 15.6k
Zhiliang Zhang Norway 43 1.5k 0.2× 1.7k 0.3× 2.1k 0.4× 1.8k 1.1× 1.2k 1.2× 287 6.7k
Xiaofeng Zhao China 39 3.2k 0.4× 4.0k 0.6× 2.9k 0.6× 779 0.5× 367 0.4× 287 6.2k
Weidong Huang China 55 5.1k 0.7× 1.2k 0.2× 1.8k 0.4× 594 0.4× 420 0.4× 360 9.1k
Shrikant Joshi India 43 3.7k 0.5× 2.9k 0.4× 2.4k 0.5× 1.4k 0.9× 429 0.4× 270 6.2k
Cuiwei Du China 50 4.0k 0.5× 1.8k 0.3× 7.1k 1.4× 1.2k 0.8× 638 0.6× 238 10.5k
M.J. Starink United Kingdom 56 8.2k 1.1× 5.4k 0.8× 7.5k 1.5× 2.1k 1.3× 1.2k 1.1× 184 11.2k
Pradeep K. Rohatgi United States 60 9.5k 1.2× 2.4k 0.4× 3.5k 0.7× 2.2k 1.4× 556 0.5× 319 11.9k
R. I. L. Guthrie Canada 36 3.9k 0.5× 1.0k 0.2× 1.3k 0.3× 523 0.3× 1.1k 1.0× 201 4.8k
Matevž Dular Slovenia 37 1.3k 0.2× 539 0.1× 2.3k 0.4× 2.0k 1.3× 792 0.8× 122 4.6k

Countries citing papers authored by Dmitry Eskin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Eskin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Eskin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Eskin. A scholar is included among the top collaborators of Dmitry Eskin 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 Dmitry Eskin. Dmitry Eskin 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.
Priyadarshi, Abhinav, Amanpreet Kaur, Mohammad Khavari, et al.. (2025). Role of shock waves in materials processing: Fundamentals and Applications. Ultrasonics Sonochemistry. 120. 107473–107473.
2.
Qin, Ling, et al.. (2025). An integrated numerical modelling framework for simulation of the multiphysics in sonoprocessing of materials. Ultrasonics Sonochemistry. 120. 107428–107428.
3.
Eskin, Dmitry, et al.. (2025). Aging-induced enhancement of corrosion resistance in Al-4Ni-1Mn alloys through Al3(Sc, Zr) precipitates. Journal of Alloys and Compounds. 1026. 180474–180474.
4.
Eskin, Dmitry, et al.. (2024). Simulation of freezing a sea water droplet moving in a cold air. Cold Regions Science and Technology. 223. 104226–104226. 1 indexed citations
5.
Vikhansky, A. & Dmitry Eskin. (2024). Modeling of turbulent flows through annuli with smooth and rough walls; drag reduction and heat transfer. Applied Thermal Engineering. 258. 124671–124671.
6.
Vikhansky, Alexander & Dmitry Eskin. (2023). A simple model of a turbulent Couette flow, and its application to drag reduction scaling. Chemical Engineering Science. 280. 119021–119021. 1 indexed citations
8.
Eskin, Dmitry, et al.. (2023). Synergetic grain refinement and ZrB2 hardening in in-situ ZrB2/AA4032-type composites by ultrasonic assisted melt treatment. Journal of Materials Research and Technology. 24. 2879–2890. 7 indexed citations
9.
Maciejewska, Barbara M., Ling Qin, C. Johnston, et al.. (2022). Direct Evidence of the Exfoliation Efficiency and Graphene Dispersibility of Green Solvents toward Sustainable Graphene Production. ACS Sustainable Chemistry & Engineering. 11(1). 58–66. 29 indexed citations
10.
Hou, Longgang, et al.. (2022). Tuning homogenization of high-strength aluminum alloys through thermodynamic alloying approach. Materials & Design. 221. 110975–110975. 14 indexed citations
11.
Khavari, Mohammad, Abhinav Priyadarshi, Andrew Hurrell, et al.. (2021). Characterization of shock waves in power ultrasound. Journal of Fluid Mechanics. 915. 58 indexed citations
12.
Tyurnina, Anastasia V., Justin A. Morton, Tungky Subroto, et al.. (2021). Environment friendly dual-frequency ultrasonic exfoliation of few-layer graphene. Carbon. 185. 536–545. 39 indexed citations
13.
Qin, Ling, Barbara M. Maciejewska, Tungky Subroto, et al.. (2021). Ultrafast synchrotron X-ray imaging and multiphysics modelling of liquid phase fatigue exfoliation of graphite under ultrasound. Carbon. 186. 227–237. 27 indexed citations
14.
Morton, Justin A., Mohammad Khavari, Ling Qin, et al.. (2021). New insights into sono-exfoliation mechanisms of graphite: In situ high-speed imaging studies and acoustic measurements. Materials Today. 49. 10–22. 59 indexed citations
15.
Wang, Bing, Tung Lik Lee, Jia Chuan Khong, et al.. (2017). Ultrafast synchrotron X-ray imaging studies of microstructure fragmentation in solidification under ultrasound. Acta Materialia. 144. 505–515. 144 indexed citations
16.
Tzanakis, Iakovos, Prakash Srirangam, Wajira Mirihanage, et al.. (2016). Synchrotron quantification of ultrasound cavitation and bubble dynamics in Al–10Cu melts. Ultrasonics Sonochemistry. 31. 355–361. 71 indexed citations
17.
Eskin, Dmitry, et al.. (2013). Deflection of columnar grains during solidification of aluminium alloys under forced flow conditions. International Journal of Cast Metals Research. 1 indexed citations
18.
Akbarzadeh, Kamran, Dmitry Eskin, John Ratulowski, & Shawn D. Taylor. (2011). Asphaltene Deposition Measurement and Modeling for Flow Assurance of Subsea Tubings and Pipelines. OTC Brasil. 13 indexed citations
19.
Eskin, Dmitry, John Ratulowski, & Kamran Akbarzadeh. (2011). Modeling of particle deposition in a vertical turbulent pipe flow at a reduced probability of particle sticking to the wall. Chemical Engineering Science. 66(20). 4561–4572. 29 indexed citations
20.
Eskin, Dmitry. (2011). Flow-Induced Forces in Agglomerates. 7(4). 341–356. 5 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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