Ellsworth Burrows

1.5k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Ellsworth Burrows is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Infectious Diseases. According to data from OpenAlex, Ellsworth Burrows has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 3 papers in Atomic and Molecular Physics, and Optics and 0 papers in Infectious Diseases. Recurrent topics in Ellsworth Burrows's work include Optical Network Technologies (18 papers), Advanced Photonic Communication Systems (13 papers) and Advanced Optical Network Technologies (10 papers). Ellsworth Burrows is often cited by papers focused on Optical Network Technologies (18 papers), Advanced Photonic Communication Systems (13 papers) and Advanced Optical Network Technologies (10 papers). Ellsworth Burrows collaborates with scholars based in United States, Japan and Switzerland. Ellsworth Burrows's co-authors include Peter J. Winzer, René-Jean Essiambre, A.H. Gnauck, Roland Ryf, R. Lingle, Sami Mumtaz, Mina Esmaeelpour, D. W. Peckham, Cristian Bolle and Sebastian Randel and has published in prestigious journals such as Nature Communications, Optics Letters and Journal of Lightwave Technology.

In The Last Decade

Ellsworth Burrows

17 papers receiving 963 citations

Hit Papers

Mode-Division Multiplexing Over 96 km of Few-Mode Fiber U... 2011 2026 2016 2021 2011 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
Ellsworth Burrows United States 9 988 330 48 18 14 18 1.0k
Sami Mumtaz France 7 926 0.9× 359 1.1× 48 1.0× 16 0.9× 12 0.9× 16 958
H. de Waardt Netherlands 15 1.0k 1.0× 276 0.8× 51 1.1× 30 1.7× 10 0.7× 61 1.1k
R.G.H. van Uden Netherlands 10 718 0.7× 209 0.6× 34 0.7× 24 1.3× 9 0.6× 24 762
Alberto Sierra United States 8 1.3k 1.4× 453 1.4× 63 1.3× 25 1.4× 20 1.4× 9 1.4k
Cen Xia United States 13 1.1k 1.2× 356 1.1× 51 1.1× 31 1.7× 4 0.3× 32 1.2k
Neng Bai United States 15 1.8k 1.8× 445 1.3× 57 1.2× 37 2.1× 15 1.1× 31 1.8k
Jiachuan Lin Canada 15 614 0.6× 285 0.9× 42 0.9× 31 1.7× 14 1.0× 63 641
M. Salsi United States 19 1.3k 1.3× 272 0.8× 31 0.6× 17 0.9× 34 2.4× 80 1.4k
Akihide Sano Japan 19 1.2k 1.2× 214 0.6× 34 0.7× 26 1.4× 33 2.4× 67 1.3k
Edson Porto da Silva Denmark 15 770 0.8× 312 0.9× 30 0.6× 39 2.2× 26 1.9× 76 846

Countries citing papers authored by Ellsworth Burrows

Since Specialization
Citations

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

Fields of papers citing papers by Ellsworth Burrows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ellsworth Burrows

This figure shows the co-authorship network connecting the top 25 collaborators of Ellsworth Burrows. A scholar is included among the top collaborators of Ellsworth Burrows 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 Ellsworth Burrows. Ellsworth Burrows is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Cho, Junho, Xi Chen, G. Raybon, et al.. (2022). Shaping lightwaves in time and frequency for optical fiber communication. Nature Communications. 13(1). 785–785. 28 indexed citations
2.
Essiambre, René-Jean, Roland Ryf, Sjoerd van der Heide, et al.. (2020). First Transmission of a 12D Format Across Three Coupled Spatial Modes of a 3-Core Coupled-Core Fiber at 4 bits/s/Hz. TU/e Research Portal. Th3H.4–Th3H.4. 6 indexed citations
3.
Cho, Junho, S. Chandrasekhar, Samuel L. I. Olsson, et al.. (2020). Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). W1K.2–W1K.2. 4 indexed citations
4.
Iannone, P.P., Xi Chen, Stefano Grillanda, et al.. (2020). PAM-4 transmission up to 160  Gb/s with surface-normal electro-absorption modulators. Optics Letters. 45(16). 4484–4484. 5 indexed citations
5.
Cho, Junho, G. Raybon, Ellsworth Burrows, et al.. (2020). Optimizing Gain Shaping Filters with Neural Networks for Maximum Cable Capacity under Electrical Power Constraints. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4. 8 indexed citations
6.
Iannone, P.P., Xi Chen, Stefano Grillanda, et al.. (2020). 44 Gb/s PAM-4 Transmission with a Polarization- Independent Surface-Normal Electroabsorption Modulator. Conference on Lasers and Electro-Optics. SF3L.2–SF3L.2. 1 indexed citations
7.
Cho, Junho, S. Chandrasekhar, Samuel L. I. Olsson, et al.. (2020). Supply-Power-Constrained Cable Capacity Maximization Using Multi-Layer Neural Networks. Journal of Lightwave Technology. 38(14). 3652–3662. 13 indexed citations
8.
Essiambre, René-Jean, Roland Ryf, Murali Kodialam, et al.. (2020). Increased Reach of Long-Haul Transmission using a Constant-Power 4D Format Designed Using Neural Networks. Research Padua Archive (University of Padua). 1–4. 4 indexed citations
9.
Zami, Thierry, B. Lavigne, Ivan Fernandez de Jauregui Ruiz, et al.. (2019). Simple self-optimization of WDM networks based on probabilistic constellation shaping [Invited]. Journal of Optical Communications and Networking. 12(1). A82–A82. 18 indexed citations
10.
11.
Olsson, Samuel L. I., Junho Cho, S. Chandrasekhar, et al.. (2018). Record-High 17.3-bit/s/Hz Spectral Efficiency Transmission over 50 km Using Probabilistically Shaped PDM 4096-QAM. Th4C.5–Th4C.5. 30 indexed citations
12.
Wittek, Steffen, Roland Ryf, Nicolas K. Fontaine, et al.. (2018). 6th Mode-Group Multiplexer for Intra-Mode Transmission Over 50-μm GI-Multimode Fiber. Journal of International Crisis and Risk Communication Research. 25–26.
13.
Ryf, Roland, Nicolas K. Fontaine, Sun Hyok Chang, et al.. (2017). Long-Haul Transmission over Multi-Core Fibers with Coupled Cores. Journal of International Crisis and Risk Communication Research. 1–3. 30 indexed citations
14.
Essiambre, René-Jean, et al.. (2016). Adaptive and Sparse Dispersion Compensation for Heterogeneous-Span Optical Networks. IEEE Photonics Technology Letters. 28(17). 1847–1849. 1 indexed citations
15.
Ryf, Roland, Sebastian Randel, A.H. Gnauck, et al.. (2011). Mode-Division Multiplexing Over 96 km of Few-Mode Fiber Using Coherent 6$\,\times\,$6 MIMO Processing. Journal of Lightwave Technology. 30(4). 521–531. 787 indexed citations breakdown →
16.
Essiambre, René-Jean, G.J. Foschini, Peter J. Winzer, Gerhard Kramer, & Ellsworth Burrows. (2008). The Capacity of Fiber-Optic Communication Systems. 1–3. 19 indexed citations
17.
Chandrasekhar, S., Xiang Liu, Daniel C. Kilper, et al.. (2007). 0.8-bit/s/Hz Terabit Transmission at 42.7-Gb/s Using Hybrid RZ-DQPSK and NRZ-DBPSK Formats over 16 x 80 km SSMF Spans and 4 Bandwidth-Managed ROADMs. 5 indexed citations
18.
Gnauck, A.H., Gabriel Charlet, P. Tran, et al.. (2007). 25.6-Tb/s C+L-band transmission of polarization-multiplexed RZ-DQPSK signals. Medical Entomology and Zoology. 62 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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