Dmitry K. Polyushkin

3.0k total citations · 1 hit paper
30 papers, 2.4k citations indexed

About

Dmitry K. Polyushkin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Dmitry K. Polyushkin has authored 30 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 21 papers in Materials Chemistry and 10 papers in Biomedical Engineering. Recurrent topics in Dmitry K. Polyushkin's work include 2D Materials and Applications (17 papers), Graphene research and applications (9 papers) and Advanced Memory and Neural Computing (7 papers). Dmitry K. Polyushkin is often cited by papers focused on 2D Materials and Applications (17 papers), Graphene research and applications (9 papers) and Advanced Memory and Neural Computing (7 papers). Dmitry K. Polyushkin collaborates with scholars based in Austria, United Kingdom and Italy. Dmitry K. Polyushkin's co-authors include Thomas Mueller, Stefan Wachter, Lukas Mennel, Aday J. Molina‐Mendoza, Joanna Symonowicz, Ole Bethge, William L. Barnes, Saverio Russo, Monica F. Craciun and Ivan Khrapach and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Dmitry K. Polyushkin

28 papers receiving 2.3k citations

Hit Papers

Ultrafast machine vision with 2D material neural network ... 2020 2026 2022 2024 2020 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
Dmitry K. Polyushkin Austria 13 1.7k 1.3k 580 231 217 30 2.4k
Aday J. Molina‐Mendoza Austria 14 1.3k 0.8× 1.3k 1.0× 303 0.5× 181 0.8× 205 0.9× 19 2.1k
Stefan Wachter Austria 12 1.4k 0.8× 1.1k 0.8× 354 0.6× 131 0.6× 209 1.0× 16 2.0k
Chunsen Liu China 25 2.6k 1.5× 2.0k 1.5× 472 0.8× 166 0.7× 433 2.0× 51 3.4k
Meng Peng China 23 1.7k 1.0× 1.5k 1.1× 466 0.8× 348 1.5× 122 0.6× 37 2.3k
Runzhang Xie China 17 1.1k 0.7× 784 0.6× 304 0.5× 211 0.9× 138 0.6× 38 1.5k
Zhongwei Xu China 19 1.2k 0.7× 977 0.7× 400 0.7× 180 0.8× 260 1.2× 37 1.9k
Max M. Shulaker United States 26 2.8k 1.6× 1.9k 1.4× 1.1k 1.9× 143 0.6× 224 1.0× 68 4.0k
Anyuan Gao China 17 1.2k 0.7× 1.2k 0.9× 322 0.6× 161 0.7× 120 0.6× 20 1.7k
Chanyeol Choi United States 10 1.3k 0.8× 760 0.6× 278 0.5× 200 0.9× 426 2.0× 19 1.8k
Keun Heo South Korea 24 2.0k 1.2× 1.2k 0.9× 341 0.6× 127 0.5× 503 2.3× 64 2.5k

Countries citing papers authored by Dmitry K. Polyushkin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry K. Polyushkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry K. Polyushkin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry K. Polyushkin. A scholar is included among the top collaborators of Dmitry K. Polyushkin 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 K. Polyushkin. Dmitry K. Polyushkin 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.
Polyushkin, Dmitry K., Burkay Uzlu, Annika Grundmann, et al.. (2024). Flexible Complementary Metal‐Oxide‐Semiconductor Inverter Based on 2D p‐type WSe2and n‐type MoS2. physica status solidi (a). 221(10). 4 indexed citations
2.
Mueller, Thomas, Dmitry K. Polyushkin, Dohyun Kwak, & Lukas Mennel. (2023). Optical sensing in high dimensions. 9–9.
3.
Dun, Chaochao, Dmitry K. Polyushkin, Elisabetta Dimaggio, et al.. (2023). Water-based 2-dimensional anatase TiO2 inks for printed diodes and transistors. Nanoscale. 15(12). 5689–5695. 7 indexed citations
4.
Polyushkin, Dmitry K., Burkay Uzlu, Annika Grundmann, et al.. (2023). Flexible CMOS electronics based on 2D p-type WSe2 and n-type MoS2. 1–2. 1 indexed citations
5.
Kwak, Dohyun, Dmitry K. Polyushkin, & Thomas Mueller. (2023). In-sensor computing using a MoS2 photodetector with programmable spectral responsivity. Nature Communications. 14(1). 4264–4264. 59 indexed citations
6.
Mennel, Lukas, Dmitry K. Polyushkin, Dohyun Kwak, & Thomas Mueller. (2022). Sparse pixel image sensor. Scientific Reports. 12(1). 5650–5650. 4 indexed citations
7.
Mennel, Lukas, Aday J. Molina‐Mendoza, Matthias Paur, et al.. (2022). A photosensor employing data-driven binning for ultrafast image recognition. Scientific Reports. 12(1). 14441–14441. 10 indexed citations
8.
Ahsan, Sheikh Aamir, et al.. (2021). A SPICE Compact Model for Ambipolar 2-D-Material FETs Aiming at Circuit Design. IEEE Transactions on Electron Devices. 68(6). 3096–3103. 12 indexed citations
9.
Worsley, Robyn, Subimal Majee, Dmitry K. Polyushkin, et al.. (2021). Inkjet-printed low-dimensional materials-based complementary electronic circuits on paper. npj 2D Materials and Applications. 5(1). 32 indexed citations
10.
Polyushkin, Dmitry K., Stefan Wachter, Lukas Mennel, et al.. (2020). Analogue two-dimensional semiconductor electronics. CINECA IRIS Institutial research information system (University of Pisa). 97 indexed citations
11.
Paur, Matthias, Aday J. Molina‐Mendoza, Dmitry K. Polyushkin, et al.. (2020). Resonant photocurrent from a single quantum emitter in tungsten diselenide. 2D Materials. 7(4). 45021–45021. 5 indexed citations
12.
Mennel, Lukas, Joanna Symonowicz, Stefan Wachter, et al.. (2020). Ultrafast machine vision with 2D material neural network image sensors. Nature. 579(7797). 62–66. 838 indexed citations breakdown →
13.
Illarionov, Yu. Yu., A. G. Banshchikov, Dmitry K. Polyushkin, et al.. (2019). Reliability of scalable MoS2 FETs with 2 nm crystalline CaF2 insulators. 2D Materials. 6(4). 45004–45004. 38 indexed citations
14.
Illarionov, Yu. Yu., A. G. Banshchikov, Dmitry K. Polyushkin, et al.. (2019). Ultrathin calcium fluoride insulators for two-dimensional field-effect transistors. Nature Electronics. 2(6). 230–235. 248 indexed citations
15.
Furchi, Marco M., et al.. (2018). Device physics of van der Waals heterojunction solar cells. npj 2D Materials and Applications. 2(1). 104 indexed citations
16.
Kaindl, Reinhard, Bernhard C. Bayer, Roland Resel, et al.. (2017). Growth, structure and stability of sputter-deposited MoS2 thin films. Beilstein Journal of Nanotechnology. 8. 1115–1126. 50 indexed citations
17.
Wachter, Stefan, Dmitry K. Polyushkin, Ole Bethge, & Thomas Mueller. (2017). A microprocessor based on a two-dimensional semiconductor. Nature Communications. 8(1). 14948–14948. 320 indexed citations
18.
Illarionov, Yu. Yu., Theresia Knobloch, Michael Waltl, et al.. (2017). Energetic mapping of oxide traps in MoS 2 field-effect transistors. 2D Materials. 4(2). 25108–25108. 70 indexed citations
19.
Khrapach, Ivan, Freddie Withers, Thomas H. Bointon, et al.. (2012). Novel Highly Conductive and Transparent Graphene‐Based Conductors. Advanced Materials. 24(21). 2844–2849. 287 indexed citations
20.
Hendry, E., et al.. (2011). Plasmonics for THz frequency applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7937. 79370D–79370D.

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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