Maxim Bolshtyansky

1.1k total citations
62 papers, 754 citations indexed

About

Maxim Bolshtyansky is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Maxim Bolshtyansky has authored 62 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 16 papers in Atomic and Molecular Physics, and Optics and 2 papers in Computer Networks and Communications. Recurrent topics in Maxim Bolshtyansky's work include Optical Network Technologies (43 papers), Advanced Photonic Communication Systems (21 papers) and Photonic and Optical Devices (19 papers). Maxim Bolshtyansky is often cited by papers focused on Optical Network Technologies (43 papers), Advanced Photonic Communication Systems (21 papers) and Photonic and Optical Devices (19 papers). Maxim Bolshtyansky collaborates with scholars based in United States, Russia and Egypt. Maxim Bolshtyansky's co-authors include O. V. Sinkin, A. N. Pilipetskiǐ, Carl Davidson, J.-X. Cai, Hussam G. Batshon, M. Mazurczyk, A. Turukhin, Dmitri G. Foursa, D. G. Foursa and M. Paskov and has published in prestigious journals such as Optics Letters, Journal of Lightwave Technology and Journal of the Optical Society of America B.

In The Last Decade

Maxim Bolshtyansky

61 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Bolshtyansky United States 15 705 141 24 21 17 62 754
Toshiki Taru Japan 21 1.7k 2.3× 273 1.9× 32 1.3× 14 0.7× 22 1.3× 44 1.7k
Yuta Wakayama Japan 19 1.1k 1.5× 187 1.3× 49 2.0× 25 1.2× 4 0.2× 98 1.1k
D. R. Gray United Kingdom 11 608 0.9× 218 1.5× 24 1.0× 11 0.5× 7 0.4× 35 649
E. Sasaoka Japan 15 1.6k 2.3× 460 3.3× 36 1.5× 8 0.4× 13 0.8× 37 1.7k
Zuowei Xu China 14 457 0.6× 347 2.5× 40 1.7× 9 0.4× 8 0.5× 37 523
Erwan Pincemin France 16 1.1k 1.6× 210 1.5× 29 1.2× 37 1.8× 9 0.5× 114 1.2k
Yulong Cui China 14 430 0.6× 260 1.8× 10 0.4× 41 2.0× 10 0.6× 43 493
Guijun Hu China 10 282 0.4× 109 0.8× 22 0.9× 12 0.6× 3 0.2× 83 310
Xiaoxi Jin China 12 357 0.5× 329 2.3× 27 1.1× 4 0.2× 8 0.5× 25 417
Akihide Sano Japan 19 1.2k 1.8× 214 1.5× 34 1.4× 33 1.6× 2 0.1× 67 1.3k

Countries citing papers authored by Maxim Bolshtyansky

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Bolshtyansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Bolshtyansky

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Bolshtyansky. A scholar is included among the top collaborators of Maxim Bolshtyansky 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 Maxim Bolshtyansky. Maxim Bolshtyansky 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.
Cai, J.-X., M. Mazurczyk, Hussam G. Batshon, et al.. (2020). Performance Comparison of Probabilistically Shaped QAM Formats and Hybrid Shaped APSK Formats With Coded Modulation. Journal of Lightwave Technology. 38(12). 3280–3288. 9 indexed citations
2.
Batshon, Hussam G., M. Mazurczyk, J.-X. Cai, et al.. (2019). Estimating transmission capacity with probabilistically shaped 64-QAM. 330 (4 pp.)–330 (4 pp.). 1 indexed citations
3.
Cai, J.-X., Hussam G. Batshon, M. Mazurczyk, et al.. (2018). 51.5 Tb/s Capacity over 17,107 km in C+L Bandwidth Using Single-Mode Fibers and Nonlinearity Compensation. Journal of Lightwave Technology. 36(11). 2135–2141. 29 indexed citations
4.
Sinkin, O. V., A. Turukhin, Maxim Bolshtyansky, Dmitri G. Foursa, & A. N. Pilipetskiǐ. (2018). SDM for power-efficient undersea transmission. 100. 1–2. 4 indexed citations
5.
Cai, J.-X., Hussam G. Batshon, M. Mazurczyk, et al.. (2018). 94.9 Tb/s Single Mode Capacity Demonstration over 1,900 km with C+L EDFAs and Coded Modulation. 1–3. 17 indexed citations
6.
Turukhin, A., O. V. Sinkin, Hussam G. Batshon, et al.. (2018). High-Capacity SDM Transmission Over Transoceanic Distances (Invited). Optical Fiber Communication Conference. W1B.6–W1B.6. 3 indexed citations
7.
Sinkin, O. V., A. Turukhin, Yu Sun, et al.. (2017). SDM for Power-Efficient Undersea Transmission. Journal of Lightwave Technology. 36(2). 361–371. 50 indexed citations
8.
Sinkin, O. V., A. Turukhin, W.W. Patterson, et al.. (2017). Maximum Optical Power Efficiency in SDM-Based Optical Communication Systems. IEEE Photonics Technology Letters. 29(13). 1075–1077. 32 indexed citations
9.
Cai, J.-X., Hussam G. Batshon, M. Mazurczyk, et al.. (2017). 70.4 Tb/s Capacity over 7,600 km in C+L Band Using Coded Modulation with Hybrid Constellation Shaping and Nonlinearity Compensation. Th5B.2–Th5B.2. 57 indexed citations
10.
Batshon, Hussam G., M. Mazurczyk, J.-X. Cai, et al.. (2017). Coded Modulation based on 56APSK with Hybrid Shaping for High Spectral Efficiency Transmission. 1–3. 12 indexed citations
11.
Bolshtyansky, Maxim, et al.. (2008). Planar Waveguide Integrated EDFA. Optical Fiber Communication Conference. 4 indexed citations
12.
Bolshtyansky, Maxim, Nicholas S. P. King, & G.J. Cowle. (2005). Characterization of Site Dependent Pumping in EDFA. Optical Amplifiers and Their Applications. WB5–WB5. 5 indexed citations
13.
Bolshtyansky, Maxim, et al.. (2004). Polarization dependent gain simulation in dual-order Raman fiber amplifiers. Optical Fiber Communication Conference. 1. 59. 1 indexed citations
14.
Bolshtyansky, Maxim, et al.. (2004). Optimal placement of DGE controlled amplifier in long haul transmission line. JWB16–JWB16. 3 indexed citations
15.
Bolshtyansky, Maxim, J. DeMarco, & Paul F. Wysocki. (2002). Flat, adjustable hybrid optical amplifier for 1610 nm-1640 nm band. 461–461. 5 indexed citations
16.
Bolshtyansky, Maxim, et al.. (1998). Realization and development of BRIEFING beam reconstruction algorithm and visualization methods. Journal of International Crisis and Risk Communication Research. 448–449. 1 indexed citations
17.
Bolshtyansky, Maxim & Boris Ya Zel'dovich. (1997). Stabilization of transmission function: theory for an ultrathin endoscope of one multimode fiber. Applied Optics. 36(16). 3673–3673. 2 indexed citations
18.
Bolshtyansky, Maxim & Boris Ya Zel'dovich. (1996). Transmission of the image signal with the use of a multimode fiber. Optics Communications. 123(4-6). 629–636. 7 indexed citations
19.
Bolshtyansky, Maxim. (1996). Random transverse tomography and phase‐conjugate scanning for image acquisition through a multimode fiber. Optical Engineering. 35(3). 769–769. 1 indexed citations
20.
Bolshtyansky, Maxim, et al.. (1992). Polarization effects on induced chi(2)tensor properties in bulk glass. Pure and Applied Optics Journal of the European Optical Society Part A. 1(6). 289–293. 11 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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