Dmitry Alexeev

638 total citations
12 papers, 493 citations indexed

About

Dmitry Alexeev is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Dmitry Alexeev has authored 12 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Biomedical Engineering. Recurrent topics in Dmitry Alexeev's work include Blood properties and coagulation (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Rheology and Fluid Dynamics Studies (2 papers). Dmitry Alexeev is often cited by papers focused on Blood properties and coagulation (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Rheology and Fluid Dynamics Studies (2 papers). Dmitry Alexeev collaborates with scholars based in Switzerland, United States and Greece. Dmitry Alexeev's co-authors include Petros Koumoutsakos, Panagiotis Angelikopoulos, Jie Chen, Konstantinos P. Giapis, Jens Honoré Walther, Diego Rossinelli, Mattia Gazzola, Anselm Bräuer, Siddhartha Verma and Guido Novati and has published in prestigious journals such as Nano Letters, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

Dmitry Alexeev

12 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Alexeev Switzerland	7	157	141	122	113	87	12	493
Guojun Li China	15	144 0.9×	205 1.5×	291 2.4×	46 0.4×	128 1.5×	67	769
Alexandre Morin France	17	296 1.9×	124 0.9×	204 1.7×	181 1.6×	250 2.9×	36	852
Yan-Ting Lin Taiwan	13	101 0.6×	420 3.0×	91 0.7×	116 1.0×	47 0.5×	49	824
Zhi Chen China	12	85 0.5×	66 0.5×	43 0.4×	130 1.2×	31 0.4×	58	457
Guillermo H. Goldsztein United States	11	73 0.5×	39 0.3×	20 0.2×	88 0.8×	97 1.1×	47	473
John P. Wilson United States	12	69 0.4×	38 0.3×	48 0.4×	133 1.2×	29 0.3×	41	520
Andrea Montessori Italy	19	139 0.9×	785 5.6×	71 0.6×	265 2.3×	28 0.3×	69	1.1k
Jianyu Yang China	13	141 0.9×	40 0.3×	136 1.1×	66 0.6×	24 0.3×	34	464
Hiroki Yamamoto Japan	13	66 0.4×	122 0.9×	86 0.7×	21 0.2×	61 0.7×	45	590
Orlando Susarrey Huerta Mexico	15	101 0.6×	53 0.4×	13 0.1×	114 1.0×	136 1.6×	51	576

Countries citing papers authored by Dmitry Alexeev

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Alexeev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Alexeev

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Alexeev. A scholar is included among the top collaborators of Dmitry Alexeev 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 Alexeev. Dmitry Alexeev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Alexeev, Dmitry, et al.. (2025). Inertial focusing of spherical particles: The effects of rotational motion. Physical Review Fluids. 10(5). 1 indexed citations

Economides, Athena, Georgios Arampatzis, Dmitry Alexeev, et al.. (2021). Hierarchical Bayesian Uncertainty Quantification for a Model of the Red Blood Cell. Physical Review Applied. 15(3). 10 indexed citations

Lapillonne, Xavier, William Sawyer, Philippe Marti, et al.. (2020). Global climate simulations at 2.8 km on GPU with the ICON model. 1 indexed citations

Alexeev, Dmitry, et al.. (2020). Mirheo: High-performance mesoscale simulations for microfluidics. Computer Physics Communications. 254. 107298–107298. 16 indexed citations

Novati, Guido, Siddhartha Verma, Dmitry Alexeev, et al.. (2017). Synchronisation through learning for two self-propelled swimmers. Bioinspiration & Biomimetics. 12(3). 36001–36001. 116 indexed citations

Economides, Athena, Sergey Litvinov, Dmitry Alexeev, et al.. (2017). Towards the Virtual Rheometer. 1–13. 1 indexed citations

Gazzola, Mattia, et al.. (2016). Learning to school in the presence of hydrodynamic interactions. Repository for Publications and Research Data (ETH Zurich). 108 indexed citations

Rossinelli, Diego, Yuhang Tang, Dmitry Alexeev, et al.. (2015). The in-silico lab-on-a-chip. 1–12. 20 indexed citations

Alexeev, Dmitry, Jie Chen, Jens Honoré Walther, et al.. (2015). Kapitza Resistance between Few-Layer Graphene and Water: Liquid Layering Effects. Nano Letters. 15(9). 5744–5749. 186 indexed citations

10.

Hadjidoukas, Panagiotis, Panagiotis Angelikopoulos, Diego Rossinelli, et al.. (2014). Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials. Computer Methods in Applied Mechanics and Engineering. 282. 218–238. 25 indexed citations

11.

Alexeev, Dmitry. (2010). Neural-network approximation of functions of several variables. Journal of Mathematical Sciences. 168(1). 5–13. 3 indexed citations

12.

Alexeev, Dmitry, Aleksey A. Penin, K. G. Skryabin, et al.. (2005). Spatial pattern formation in the flower of Arabidopsis thaliana: Mathematical modeling. Doklady Biological Sciences. 401(1-6). 133–135. 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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