Jaroslaw E. Prilepsky

102 papers receiving 1.7k citations

Peers

Jaroslaw E. Prilepsky
Comparison fields: 5 of 65
  • Electrical and Electronic Engineering 1.5k
  • Atomic and Molecular Physics, and Optics 970
  • Statistical and Nonlinear Physics 301
  • Artificial Intelligence 217
  • Computer Networks and Communications 59
Replace Son Thai Le with:
Son Thai Le United Kingdom
Sander Wahls Netherlands
Mark Shtaif Israel
Xianfeng Tang China
Yves Jaouën France
Cristian Antonelli Italy
Qunbi Zhuge China
René-Jean Essiambre United States
Qi Yang China
Anlin Yi China
Jaroslaw E. Prilepsky relative to Son Thai Le United Kingdom Son Thai Le's profile →
Citations per field
00.5×7.4×
Son Thai Le · 1×
Citations per year

Countries citing papers authored by Jaroslaw E. Prilepsky

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslaw E. Prilepsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaroslaw E. Prilepsky. 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 Jaroslaw E. Prilepsky. The network helps show where Jaroslaw E. Prilepsky may publish in the future.

Co-authorship network of co-authors of Jaroslaw E. Prilepsky

This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslaw E. Prilepsky. A scholar is included among the top collaborators of Jaroslaw E. Prilepsky 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 Jaroslaw E. Prilepsky. Jaroslaw E. Prilepsky 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
#WorkIndexed citations
1 0
2 28
3 1
4 3
5 0
6 10
7
Performance versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems
130
8 27
9 45
10 7
11 8
12 49
13 37
14 26
15 11
16
Periodic nonlinear Fourier transform based transmissions with high order QAM formats
2
17
Achievable information rate of nonlinear inverse synthesis based 16QAM OFDM transmission
6
18
Reduced complexity nonlinear inverse synthesis for nonlinearity compensation in optical fiber links
5
19 101
20 12

About Jaroslaw E. Prilepsky

Jaroslaw E. Prilepsky is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Optical Network Technologies (86 papers), Advanced Photonic Communication Systems (53 papers) and Advanced Fiber Laser Technologies (50 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (970 citations), Electrical and Electronic Engineering (1.5k citations) and Statistical and Nonlinear Physics (301 citations). Jaroslaw E. Prilepsky has collaborated with scholars based in United Kingdom, Germany and Ukraine. Frequent co-authors include Sergei K. Turitsyn, Stanislav Derevyanko, Son Thai Le, Morteza Kamalian-Kopae, Pedro J. Freire, Antonio Napoli, Nelson Costa, Bernhard Spinnler, Sander Wahls and Л. Л. Фрумин. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review B.

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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