M. Mazurczyk

838 total citations
39 papers, 605 citations indexed

About

M. Mazurczyk is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. Mazurczyk has authored 39 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. Mazurczyk's work include Optical Network Technologies (35 papers), Advanced Photonic Communication Systems (16 papers) and Photonic and Optical Devices (11 papers). M. Mazurczyk is often cited by papers focused on Optical Network Technologies (35 papers), Advanced Photonic Communication Systems (16 papers) and Photonic and Optical Devices (11 papers). M. Mazurczyk collaborates with scholars based in United States. M. Mazurczyk's co-authors include J.-X. Cai, D. G. Foursa, A. N. Pilipetskiǐ, Hussam G. Batshon, O. V. Sinkin, Carl Davidson, H. Zhang, Maxim Bolshtyansky, M. Paskov and G. Mohs and has published in prestigious journals such as Optics Express, Journal of Lightwave Technology and Optical Fiber Communication Conference.

In The Last Decade

M. Mazurczyk

39 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Mazurczyk United States 15 597 60 36 12 4 39 605
M. Paskov United States 10 306 0.5× 40 0.7× 15 0.4× 8 0.7× 3 0.8× 20 316
Mengqi Guo China 13 402 0.7× 35 0.6× 30 0.8× 10 0.8× 5 1.3× 46 414
D. G. Foursa United States 20 1.0k 1.7× 115 1.9× 61 1.7× 14 1.2× 5 1.3× 77 1.0k
W.W. Patterson United States 14 628 1.1× 67 1.1× 28 0.8× 5 0.4× 4 1.0× 44 640
Olga Vassilieva United States 9 335 0.6× 56 0.9× 14 0.4× 13 1.1× 3 0.8× 63 350
Y. Jiang Italy 5 564 0.9× 77 1.3× 18 0.5× 18 1.5× 3 0.8× 8 575
Philippe Jennevé France 11 368 0.6× 47 0.8× 35 1.0× 15 1.3× 2 0.5× 40 377
Setsuo Yoshida Japan 10 346 0.6× 41 0.7× 25 0.7× 14 1.2× 6 1.5× 49 365
Jan Kundrát Czechia 9 309 0.5× 45 0.8× 48 1.3× 16 1.3× 4 1.0× 38 344
Stefano Piciaccia Italy 12 487 0.8× 42 0.7× 30 0.8× 37 3.1× 3 0.8× 58 523

Countries citing papers authored by M. Mazurczyk

Since Specialization
Citations

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

Fields of papers citing papers by M. Mazurczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mazurczyk

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mazurczyk. A scholar is included among the top collaborators of M. Mazurczyk 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 M. Mazurczyk. M. Mazurczyk 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.
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
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.
Cai, J.-X., Yue Hu, A. Turukhin, et al.. (2018). On the Effects of Transmitter Induced Channel Correlation in Broadband WDM Transmission. Optical Fiber Communication Conference. Th1C.1–Th1C.1. 5 indexed citations
7.
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
8.
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
9.
Cai, J.-X., Hussam G. Batshon, M. Mazurczyk, et al.. (2017). 51.5 Tb/s Capacity over 17,107 km in C+L Bandwidth Using Single Mode Fibers and Nonlinearity Compensation. 1–3. 12 indexed citations
10.
Mazurczyk, M., J.-X. Cai, Hussam G. Batshon, et al.. (2017). Performance of Nonlinear Compensation Techniques in a 71.64 Tb/s Capacity Demonstration Over 6970 km. 1–3. 4 indexed citations
11.
Zhang, H., A. Turukhin, O. V. Sinkin, et al.. (2015). Power-Efficient 100 Gb/s Transmission Over Transoceanic System. Journal of Lightwave Technology. 34(8). 1859–1863. 10 indexed citations
12.
Zhang, H., A. Turukhin, O. V. Sinkin, et al.. (2015). Power-efficient 100 Gb/s transmission over transoceanic distance using 8-dimensional coded modulation. 4. 1–3. 11 indexed citations
13.
Cai, J.-X., H. Zhang, Hussam G. Batshon, et al.. (2014). Enabling technologies for ultra-high-capacity transmission over transoceanic distance. Australian Conference on Optical Fibre Technology. 365–367. 1 indexed citations
14.
Cai, J.-X., H. Zhang, M. Mazurczyk, et al.. (2014). Transmission over 9,100 km with a Capacity of 49.3 Tb/s Using Variable Spectral Efficiency 16 QAM Based Coded Modulation. Th5B.4–Th5B.4. 30 indexed citations
15.
Cai, J.-X., Hussam G. Batshon, Carl Davidson, et al.. (2013). 25 Tb/s transmission over 5,530 km using 16QAM at 52 b/s/Hz spectral efficiency. Optics Express. 21(2). 1555–1555. 5 indexed citations
16.
Cai, J.-X., M. Mazurczyk, D. G. Foursa, et al.. (2013). Nonlinearity Compensation Benefit in High Capacity Ultra-Long Haul Transmission Systems. 627–629. 6 indexed citations
17.
Zhang, H., J.-X. Cai, Hussam G. Batshon, et al.. (2013). 200 Gb/s and Dual-Wavelength 400 Gb/s Transmission over Transpacific Distance at 6 b/s/Hz Spectral Efficiency. PDP5A.6–PDP5A.6. 30 indexed citations
18.
Zhang, H., J.-X. Cai, Hussam G. Batshon, et al.. (2012). 16QAM transmission with 52 bits/s/Hz spectral efficiency over transoceanic distance. Optics Express. 20(11). 11688–11688. 26 indexed citations
19.
Mazurczyk, M., D. G. Foursa, Carl Davidson, et al.. (2012). 30 Tb/s Transmission over 6,630 km Using 16QAM Signals at 6.1 bits/s/Hz Spectral Efficiency. Th.3.C.2–Th.3.C.2. 17 indexed citations
20.
Cai, J.-X., A. Turukhin, William T. Anderson, et al.. (2011). 40G Field Trial with 0.8 bits/s/Hz Spectral Efficiency over 6,550 km of Installed Undersea Cable. NThB6–NThB6. 1 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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