C.R. Lima

435 citations
13 papers · 343 · h-index 6

Impact in

Papers in

C.R. Lima

11 papers receiving 322 citations

Peers

C.R. Lima
Comparison fields: 5 of 17
  • Atomic and Molecular Physics, and Optics 202
  • Electrical and Electronic Engineering 337
  • Instrumentation 2
  • Signal Processing 4
  • Energy Engineering and Power Technology 1
Replace D.A. Atlas with:
D.A. Atlas United States
Koji Igarashi Japan
Huanfa Peng China
Igor Koltchanov Germany
Masamichi Fujiwara Japan
Shiro Ryu Japan
Enbo Zhou China
Sean O’Dúill Ireland
A. Harton United States
M.C. Nowell United Kingdom
C.R. Lima relative to D.A. Atlas United States D.A. Atlas's profile →
Citations per field
00.5×
D.A. Atlas · 1×
Citations per year

Countries citing papers authored by C.R. Lima

Since Specialization
Citations

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

Fields of papers citing papers by C.R. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.R. Lima. 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 C.R. Lima. The network helps show where C.R. Lima may publish in the future.

Co-authors

The 13 scholars most cited alongside C.R. Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.R. Lima Line = papers co-authored together C.R. Lima links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1995201
2 199658
3 199540
4
5.12 Tb/s (128 × 42.7 Gb/s) Transmission with 0.8 bit/s/Hz Spectral Efficiency over 1280 km of Standard Single-Mode Fiber Using All-Raman Amplification and Strong Signal Filtering
200225
5 19946
6 20065
7 19952
8 19952
9 20021
10 20131
11
NOISE PERFORMANCE OF MICROWAVE SIGNALS GENERATED BY A GAIN-SWITCHED SEMICONDUCTOR LASER
19941
12 20131
13 20030

About C.R. Lima

C.R. Lima is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 13 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (8 papers), Photonic and Optical Devices (5 papers), Advanced Fiber Laser Technologies (5 papers), Semiconductor Lasers and Optical Devices (4 papers), Optical Network Technologies (3 papers), Semiconductor Quantum Structures and Devices (2 papers), Power Systems Fault Detection (2 papers) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (202 citations), Electrical and Electronic Engineering (337 citations), Instrumentation (2 citations), Signal Processing (4 citations) and Energy Engineering and Power Technology (1 citation). C.R. Lima has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include P.A. Davies, D. Wake, A.G. Gurevich, Thomas H. Wood, S. Banerjee, Ashish Agarwal, Drew N. Maywar, D. F. Grosz, Jingwen Pan and Lap‐Pui Chau. Their work appears in journals such as Electronics Letters, Applied Physics Letters, IEEE Photonics Technology Letters, IEEE Transactions on Microwave Theory and Techniques and European Conference on Optical Communication.

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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