E.C. Vail

600 citations
25 papers · 484 · h-index 10

Impact in

Papers in

E.C. Vail

22 papers receiving 423 citations

Peers

E.C. Vail
Comparison fields: 5 of 23
  • Electrical and Electronic Engineering 466
  • Atomic and Molecular Physics, and Optics 178
  • Surfaces, Coatings and Films 38
  • Bioengineering 10
  • Spectroscopy 25
Replace G.S. Li with:
G.S. Li United States
Nannicha Hattasan Belgium
G.Z. Mashanovich United Kingdom
G. Suruceanu Switzerland
Shin Sumida Japan
T. Sugie Japan
Yongqiang Ning China
Chi Yan Wong Hong Kong
C.D. Hussey Ireland
Soan Kim South Korea
E.C. Vail relative to G.S. Li United States G.S. Li's profile →
Citations per field
00.5×5.5×
G.S. Li · 1×
Citations per year

Countries citing papers authored by E.C. Vail

Since Specialization
Citations

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

Fields of papers citing papers by E.C. Vail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995101
2 199597
3 200284
4 199649
5 199639
6 199718
7 199514
8 199414
9 200310
10 19939
11 19959
12 20049
13 19987
14 20045
15 20044
16
Speed and polarization characteristics of widely tunable micromachined GaAs Fabry-Perot filters
19953
17 20023
18
Temperature behavior of 980-nm Al-free single and triple-strained quantum well lasers
19942
19 19982
20
Tunable Micromachined Vertical Cavity Surface Emitting Lasers
19952

About E.C. Vail

E.C. Vail is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Spectroscopy, Surfaces, Coatings and Films and Infectious Diseases, having authored 25 papers that have together received 484 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (23 papers), Photonic and Optical Devices (19 papers), Semiconductor Quantum Structures and Devices (8 papers), Advanced Fiber Optic Sensors (6 papers), Advanced Fiber Laser Technologies (3 papers), Spectroscopy and Laser Applications (3 papers), Optical Network Technologies (2 papers) and Advanced MEMS and NEMS Technologies (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (466 citations), Atomic and Molecular Physics, and Optics (178 citations), Surfaces, Coatings and Films (38 citations), Bioengineering (10 citations) and Spectroscopy (25 citations). E.C. Vail has collaborated with scholars based in United States. Frequent co-authors include G.S. Li, Mo Wu, W. Yuen, C.J. Chang-Hasnain, Constance J. Chang-Hasnain, Lars Eng, R.F. Nabiev, B. Pezeshki, Michael Sherback and Gideon Yoffe. Their work appears in journals such as Electronics Letters, IEEE Photonics Technology Letters, IEEE Journal of Selected Topics in Quantum Electronics, Optics and Photonics News and Applied Physics Letters.

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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