Dmitry Lapkin

491 total citations
24 papers, 321 citations indexed

About

Dmitry Lapkin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Dmitry Lapkin has authored 24 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Polymers and Plastics. Recurrent topics in Dmitry Lapkin's work include Advanced Memory and Neural Computing (11 papers), Conducting polymers and applications (7 papers) and Neuroscience and Neural Engineering (6 papers). Dmitry Lapkin is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Conducting polymers and applications (7 papers) and Neuroscience and Neural Engineering (6 papers). Dmitry Lapkin collaborates with scholars based in Russia, Germany and Italy. Dmitry Lapkin's co-authors include В. А. Демин, A. V. Emelyanov, Victor Erokhin, П. К. Кашкаров, M. V. Kovalchuk, L. A. Feĭgin, С. Н. Чвалун, С. Н. Малахов, G. Baldi and Salvatore Iannotta and has published in prestigious journals such as Nature Communications, ACS Nano and Applied Physics Letters.

In The Last Decade

Dmitry Lapkin

22 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitry Lapkin Russia 11 268 151 116 54 52 24 321
А. А. Миннеханов Russia 15 339 1.3× 197 1.3× 72 0.6× 128 2.4× 80 1.5× 42 481
Shenming Huang China 9 374 1.4× 153 1.0× 94 0.8× 92 1.7× 43 0.8× 11 444
Yoocharn Jeon United States 8 336 1.3× 82 0.5× 71 0.6× 49 0.9× 47 0.9× 13 374
Dhananjay D. Kumbhar India 12 394 1.5× 146 1.0× 101 0.9× 117 2.2× 21 0.4× 27 426
Momo Zhao China 10 280 1.0× 117 0.8× 78 0.7× 54 1.0× 70 1.3× 12 342
Yanfei Qi China 10 476 1.8× 168 1.1× 130 1.1× 91 1.7× 26 0.5× 20 497
Jingting Yang China 5 379 1.4× 179 1.2× 121 1.0× 87 1.6× 38 0.7× 8 424
Nian Duan China 9 331 1.2× 151 1.0× 57 0.5× 33 0.6× 47 0.9× 11 350
Kannan Udaya Mohanan South Korea 11 277 1.0× 102 0.7× 49 0.4× 72 1.3× 33 0.6× 24 328
Navaj B. Mullani India 13 310 1.2× 120 0.8× 113 1.0× 124 2.3× 28 0.5× 23 389

Countries citing papers authored by Dmitry Lapkin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Lapkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Lapkin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Lapkin. A scholar is included among the top collaborators of Dmitry Lapkin 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 Lapkin. Dmitry Lapkin 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.
Pakhomova, Anna, Saiana Khandarkhaeva, P. Gille, et al.. (2025). Resolving the pressure induced ‘self-insertion’ in skutterudite CoSb3. Journal of Alloys and Compounds. 1017. 179020–179020. 1 indexed citations
2.
Lapkin, Dmitry, Young Yong Kim, Tobias U. Schülli, et al.. (2025). Coherent X-ray Diffraction Imaging of a Twinned PtRh Catalyst Nanoparticle under Operando Conditions. ACS Nano. 19(26). 23552–23563. 1 indexed citations
3.
Lapkin, Dmitry, et al.. (2025). Benchmarking deep learning for automated peak detection on GIWAXS data. Journal of Applied Crystallography. 58(2). 513–522.
4.
Rudzinski, Walter E., Wojciech Roseker, Michael Sprung, et al.. (2025). Mechanically Robust Supercrystals from Antisolvent-Induced Assembly of Perovskite Nanocrystals. ACS Nano. 19(28). 26117–26126. 1 indexed citations
5.
Kurta, Ruslan P., Tim B. van Driel, Asmus Ougaard Dohn, et al.. (2023). Exploring fingerprints of ultrafast structural dynamics in molecular solutions with an X-ray laser. Physical Chemistry Chemical Physics. 25(35). 23417–23434. 1 indexed citations
6.
Lapkin, Dmitry, Sebastian Sturm, Alexandr Ignatenko, et al.. (2023). Revealing the Impact of Polystyrene Functionalization of Au Octahedral Nanocrystals of Different Sizes on the Formation and Structure of Mesocrystals. ChemNanoMat. 9(12). 3 indexed citations
7.
Shabalin, Anatoly, Weiliang Yao, Zhile Ren, et al.. (2023). Mapping the 3D position of battery cathode particles in Bragg coherent diffractive imaging. Journal of Synchrotron Radiation. 30(2). 445–448. 4 indexed citations
8.
Lapkin, Dmitry, Anatoly Shabalin, Janne‐Mieke Meijer, et al.. (2022). Angular X-ray cross-correlation analysis applied to the scattering data in 3D reciprocal space from a single crystal. IUCrJ. 9(4). 425–438. 2 indexed citations
9.
Lapkin, Dmitry, Denis Andrienko, Kai Braun, et al.. (2022). Spatially resolved fluorescence of caesium lead halide perovskite supercrystals reveals quasi-atomic behavior of nanocrystals. Nature Communications. 13(1). 892–892. 24 indexed citations
10.
Carnis, Jérôme, Dmitry Lapkin, Sebastian Sturm, et al.. (2021). Exploring the 3D structure and defects of a self-assembled gold mesocrystal by coherent X-ray diffraction imaging. Nanoscale. 13(23). 10425–10435. 10 indexed citations
11.
Lapkin, Dmitry, Jens R. Stellhorn, Fabian Westermeier, et al.. (2021). In situ characterization of crystallization and melting of soft, thermoresponsive microgels by small-angle X-ray scattering. Soft Matter. 18(8). 1591–1602. 8 indexed citations
12.
Carnis, Jérôme, Dmitry Lapkin, Sebastian Sturm, et al.. (2021). Correction: Exploring the 3D structure and defects of a self-assembled gold mesocrystal by coherent X-ray diffraction imaging. Nanoscale. 13(25). 11299–11300. 1 indexed citations
13.
Lapkin, Dmitry, A. V. Emelyanov, А. А. Миннеханов, et al.. (2020). Associative STDP-like learning of neuromorphic circuits based on polyaniline memristive microdevices. Journal of Physics D Applied Physics. 53(41). 414001–414001. 26 indexed citations
14.
Lapkin, Dmitry, et al.. (2020). Optical Monitoring of the Resistive States of a Polyaniline‐Based Memristive Device. Advanced Electronic Materials. 6(10). 14 indexed citations
15.
Lapkin, Dmitry, С. Н. Малахов, В. А. Демин, С. Н. Чвалун, & L. A. Feĭgin. (2019). Hybrid polyaniline/polyamide-6 fibers and nonwoven materials for assembling organic memristive elements. Synthetic Metals. 254. 63–67. 15 indexed citations
16.
Миннеханов, А. А., B. Goncharov, Dmitry Lapkin, et al.. (2019). Poly-para-xylylene-Based Memristors on Flexible Substrates. Technical Physics Letters. 45(11). 1103–1106. 16 indexed citations
17.
Lapkin, Dmitry, A. V. Emelyanov, В. А. Демин, et al.. (2018). Polyaniline-based memristive microdevice with high switching rate and endurance. Applied Physics Letters. 112(4). 51 indexed citations
18.
Lapkin, Dmitry, С. Н. Малахов, В. А. Демин, & С. Н. Чвалун. (2017). An Organic Memristive Element Based on Single Polyaniline/Polyamide-6 Fiber. Technical Physics Letters. 43(12). 1102–1104. 2 indexed citations
19.
Emelyanov, A. V., Dmitry Lapkin, В. А. Демин, et al.. (2016). First steps towards the realization of a double layer perceptron based on organic memristive devices. AIP Advances. 6(11). 74 indexed citations
20.
Демин, В. А., A. V. Emelyanov, Dmitry Lapkin, et al.. (2016). Neuromorphic elements and systems as the basis for the physical implementation of artificial intelligence technologies. Crystallography Reports. 61(6). 992–1001. 12 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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