Doyeol Ahn

5.2k citations
249 papers · 4.2k · h-index 32

Impact in

Papers in

Doyeol Ahn

240 papers receiving 4.0k citations

Peers

Doyeol Ahn
Comparison fields: 5 of 70
  • Atomic and Molecular Physics, and Optics 3.0k
  • Condensed Matter Physics 1.1k
  • Metals and Alloys 91
  • Electrical and Electronic Engineering 1.6k
  • Artificial Intelligence 874
Replace М. А. Баранов with:
М. А. Баранов Russia
Sergio E. Ulloa United States
Stephen M. Goodnick United States
R. J. Haug Germany
C. R. Becker Germany
Sébastien Pezzagna Germany
R. E. Schwall United States
M. Y. Simmons Australia
Anders M. N. Niklasson United States
V. N. Antonov United Kingdom
Doyeol Ahn relative to М. А. Баранов Russia М. А. Баранов's profile →
Citations per field
00.5×10×15×18.2×
М. А. Баранов · 1×
Citations per year

Countries citing papers authored by Doyeol Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Doyeol Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 249 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002277
2 1986145
3 2003123
4 1988119
5 1997114
6 1987102
7 2007101
8 2005100
9 200098
10 200689
11 200383
12 199081
13 198980
14 198879
15 200979
16 200277
17 199972
18 200261
19 200961
20 200258

About Doyeol Ahn

Doyeol Ahn is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Condensed Matter Physics, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 249 papers that have together received 4.2k indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (96 papers), GaN-based semiconductor devices and materials (74 papers), Quantum and electron transport phenomena (53 papers), ZnO doping and properties (37 papers), Quantum Information and Cryptography (36 papers), Ga2O3 and related materials (31 papers), Semiconductor Lasers and Optical Devices (27 papers) and Advancements in Semiconductor Devices and Circuit Design (25 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (3.0k citations), Condensed Matter Physics (1.1k citations), Metals and Alloys (91 citations), Electrical and Electronic Engineering (1.6k citations) and Artificial Intelligence (874 citations). Doyeol Ahn has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seoung-Hwan Park, S. L. Chuang, Sung Woo Hwang, M. S. Kim, S. L. Chuang, Jinhyoung Lee, P. L. Knight, S. W. Hwang, Yun Seop Yu and Hyuk‐Jae Lee. Their work appears in journals such as Applied Physics Letters, Japanese Journal of Applied Physics, Journal of Applied Physics, Physical Review A and IEEE Journal of Quantum Electronics.

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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