Ivan T. Lima

1.1k citations
87 papers · 758 indexed · h-index 17

Ivan T. Lima

81 papers receiving 732 citations

Peers

Ivan T. Lima
Comparison fields: 5 of 67
  • Atomic and Molecular Physics, and Optics 309
  • Electrical and Electronic Engineering 569
  • Acoustics and Ultrasonics 8
  • Biomedical Engineering 155
  • Biophysics 17
Replace Laurent Collot with:
Laurent Collot France
Er’el Granot Israel
S. A. Newton United States
Naohiro Tanno Japan
N. Ismail Netherlands
Natalie V. Wheeler United Kingdom
Sihao Wang United States
C. R. Doerr United States
Adetunmise C. Dada United Kingdom
Ivan T. Lima relative to Laurent Collot France Laurent Collot's profile →
Citations per field
00.5×5.8×
Laurent Collot · 1×
Citations per year

Countries citing papers authored by Ivan T. Lima

Since Specialization
Citations

This map shows the geographic impact of Ivan T. 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 Ivan T. Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan T. Lima more than expected).

Fields of papers citing papers by Ivan T. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ivan T. 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 Ivan T. Lima Line = papers co-authored together Ivan T. Lima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20224
3 20201
4 20202
5 20183
6 20174
7 201718
8 201712
9 20138
10 201213
11 20111
12 20103
13 201020
14 20045
15
Experimental validation of an accurate receiver model for systems with unpolarized noise
20032
16 200315
17 20038
18
Comparison of Power Penalties Due to First- and All-Order PMD Distortions
20022
19 200212
20 200147

About Ivan T. Lima

Ivan T. Lima is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films, Biomedical Engineering and Media Technology, having authored 87 papers that have together received 758 indexed citations. Recurring topics across this work include Optical Network Technologies (40 papers), Advanced Fiber Laser Technologies (26 papers), Advanced Photonic Communication Systems (20 papers), Photonic and Optical Devices (11 papers), Semiconductor Lasers and Optical Devices (11 papers), Microfluidic and Bio-sensing Technologies (10 papers), Optical Coherence Tomography Applications (7 papers) and Optical Imaging and Spectroscopy Techniques (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (309 citations), Electrical and Electronic Engineering (569 citations), Acoustics and Ultrasonics (8 citations), Biomedical Engineering (155 citations) and Biophysics (17 citations). Ivan T. Lima has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Curtis R. Menyuk, Arkady Major, Hongbo Zhao, Sherif S. Sherif, R. Khosravani, E. Ibragimov, Alan E. Willner, Dharmakeerthi Nawarathna, J. Zweck and Logeeshan Velmanickam. Their work appears in journals such as Journal of Lightwave Technology, IEEE Photonics Technology Letters, Laser Physics, Optics Letters and Journal of Biomedical Optics.

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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