Dmitry Kalashnikov

3.6k total citations
35 papers, 882 citations indexed

About

Dmitry Kalashnikov is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Dmitry Kalashnikov has authored 35 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 12 papers in Artificial Intelligence and 10 papers in Biomedical Engineering. Recurrent topics in Dmitry Kalashnikov's work include Quantum Information and Cryptography (8 papers), Photonic and Optical Devices (6 papers) and Nonlinear Optical Materials Studies (5 papers). Dmitry Kalashnikov is often cited by papers focused on Quantum Information and Cryptography (8 papers), Photonic and Optical Devices (6 papers) and Nonlinear Optical Materials Studies (5 papers). Dmitry Kalashnikov collaborates with scholars based in Singapore, Russia and Germany. Dmitry Kalashnikov's co-authors include Leonid A. Krivitsky, Anna V. Paterova, S. P. Kulik, Arseniy I. Kuznetsov, Aravind P. Anthur, Haizhong Zhang, Ramón Paniagua‐Domínguez, Tobias W. W. Maß, Son Tung Ha and Hongzhi Yang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Dmitry Kalashnikov

33 papers receiving 858 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 Kalashnikov Singapore 14 526 296 257 244 139 35 882
Sigang Yang China 22 993 1.9× 426 1.4× 1.6k 6.4× 251 1.0× 106 0.8× 217 2.1k
Omar S. Magaña‐Loaiza United States 23 1.3k 2.4× 631 2.1× 311 1.2× 396 1.6× 277 2.0× 69 1.6k
Minghua Chen China 24 1.1k 2.1× 351 1.2× 1.8k 6.9× 263 1.1× 118 0.8× 240 2.2k
Li Deng China 17 1.1k 2.1× 363 1.2× 429 1.7× 90 0.4× 27 0.2× 109 1.5k
Da‐Wei Wang China 19 1.3k 2.6× 644 2.2× 427 1.7× 179 0.7× 57 0.4× 80 1.7k
Kriti Charan United States 12 441 0.8× 32 0.1× 520 2.0× 361 1.5× 287 2.1× 20 1.1k
Adam Vallés South Africa 14 737 1.4× 232 0.8× 226 0.9× 263 1.1× 58 0.4× 25 893
Chenglong You United States 17 513 1.0× 340 1.1× 215 0.8× 295 1.2× 60 0.4× 51 893
Raktim Sarma United States 14 532 1.0× 129 0.4× 496 1.9× 322 1.3× 327 2.4× 52 976
S. F. Pereira Netherlands 17 1.7k 3.1× 1.1k 3.7× 432 1.7× 225 0.9× 39 0.3× 30 1.9k

Countries citing papers authored by Dmitry Kalashnikov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Kalashnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Kalashnikov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Kalashnikov. A scholar is included among the top collaborators of Dmitry Kalashnikov 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 Kalashnikov. Dmitry Kalashnikov 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.
Kalashnikov, Dmitry, Zackaria Mahfoud, Yan Liu, et al.. (2025). Dielectric Fano Nanoantennas for Enabling Sub‐Nanosecond Lifetimes in NV‐Based Single Photon Emitters. Advanced Functional Materials. 35(28). 1 indexed citations
2.
Liu, Yan, Jun Zhang, Hongtao Wang, et al.. (2025). Electrically Tunable and Modulated Perovskite Quantum Emitters via Surface‐Enhanced Landau Damping. Advanced Materials. 37(16). e2419076–e2419076. 3 indexed citations
3.
Торопов, А. А., Dmitry Kalashnikov, Victor Leong, et al.. (2024). Donor–Acceptor Recombination Emission in Hydrogen‐Terminated Nanodiamond. Advanced Quantum Technologies. 8(1). 3 indexed citations
4.
Paterova, Anna V., Dmitry Kalashnikov, Egor Khaidarov, et al.. (2021). Non-linear interferometry with infrared metasurfaces. SHILAP Revista de lepidopterología. 9 indexed citations
5.
Kalashnikov, Dmitry, Yevgen Chebotar, Rico Jonschkowski, et al.. (2021). Scaling Up Multi-Task Robotic Reinforcement Learning. 3 indexed citations
6.
Rivas, Alberto, Jacob Varley, Andy Zeng, et al.. (2021). Reward Machines for Vision-Based Robotic Manipulation. 14284–14290. 8 indexed citations
7.
Anthur, Aravind P., Haizhong Zhang, Ramón Paniagua‐Domínguez, et al.. (2020). Continuous Wave Second Harmonic Generation Enabled by Quasi-Bound-States in the Continuum on Gallium Phosphide Metasurfaces. Nano Letters. 20(12). 8745–8751. 183 indexed citations
8.
Anthur, Aravind P., Haizhong Zhang, Yuriy Akimov, et al.. (2020). Demonstration of second harmonic generationin gallium phosphide nano-waveguides. arXiv (Cornell University). 24 indexed citations
9.
Kalashnikov, Dmitry, Alex Irpan, Peter Pástor, et al.. (2018). QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. 651–673. 71 indexed citations
10.
Paterova, Anna V., et al.. (2018). Tunable optical coherence tomography in the infrared range using visible photons. Quantum Science and Technology. 3(2). 25008–25008. 76 indexed citations
11.
Kalashnikov, Dmitry, Elizaveta Melik-Gaykazyan, А. А. Калачев, et al.. (2017). Quantum interference in the presence of a resonant medium. Scientific Reports. 7(1). 11444–11444. 20 indexed citations
12.
Paterova, Anna V., et al.. (2017). Nonlinear infrared spectroscopy free from spectral selection. Scientific Reports. 7(1). 42608–42608. 29 indexed citations
13.
Kalashnikov, Dmitry, Anna V. Paterova, S. P. Kulik, & Leonid A. Krivitsky. (2016). Infrared spectroscopy with visible light. Nature Photonics. 10(2). 98–101. 235 indexed citations
14.
Kalashnikov, Dmitry, et al.. (2014). Imaging of spatial correlations of two-photon states. Physical Review A. 89(4). 6 indexed citations
15.
Kalashnikov, Dmitry, Si-Hui Tan, T. Sh. Iskhakov, Maria V. Chekhova, & Leonid A. Krivitsky. (2012). Measurement of two-mode squeezing with photon number resolving multipixel detectors. Optics Letters. 37(14). 2829–2829. 12 indexed citations
16.
Kalashnikov, Dmitry, Si-Hui Tan, & Leonid A. Krivitsky. (2012). Crosstalk calibration of multi-pixel photon counters using coherent states. Optics Express. 20(5). 5044–5044. 14 indexed citations
17.
Kalashnikov, Dmitry, Si-Hui Tan, Maria V. Chekhova, & Leonid A. Krivitsky. (2011). Accessing photon bunching with a photon number resolving multi-pixel detector. Optics Express. 19(10). 9352–9352. 30 indexed citations
18.
Kalashnikov, Dmitry, Maria V. Chekhova, & Leonid A. Krivitsky. (2011). Accessing photon bunching with photon number resolving multi-pixel detector. 1–1. 3 indexed citations
19.
Kalashnikov, Dmitry, K. G. Katamadze, & S. P. Kulik. (2009). Controlling the spectrum of a two-photon field: Inhomogeneous broadening due to a temperature gradient. Journal of Experimental and Theoretical Physics Letters. 89(5). 224–228. 8 indexed citations
20.
Kalashnikov, Dmitry, et al.. (2009). Generation of arbitrary frequency-entangled states of two-photon light. Journal of Experimental and Theoretical Physics. 108(1). 33–42. 3 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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