Brian H. Berkeley

50 papers receiving 543 citations

Peers

Brian H. Berkeley
Comparison fields: 5 of 43
  • Media Technology 135
  • Electronic, Optical and Magnetic Materials 126
  • Computer Vision and Pattern Recognition 126
  • Electrical and Electronic Engineering 339
  • Atomic and Molecular Physics, and Optics 173
Replace Fang‐Cheng Lin with:
Fang‐Cheng Lin Taiwan
H.-P.D. Shieh Taiwan
Jun Someya Japan
Baek‐Woon Lee South Korea
K. Käläntär Japan
Yukihiro Nishida Japan
Martin Eisner Switzerland
Sergiy Valyukh Sweden
Tow‐Chong Chong Singapore
Seiichiro Mizuno Japan
Brian H. Berkeley relative to Fang‐Cheng Lin Taiwan Fang‐Cheng Lin's profile →
Citations per field
00.5×2.9×
Fang‐Cheng Lin · 1×
Citations per year

Countries citing papers authored by Brian H. Berkeley

Since Specialization
Citations

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

Fields of papers citing papers by Brian H. Berkeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian H. Berkeley. 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 Brian H. Berkeley. The network helps show where Brian H. Berkeley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200469
2 200951
3 201037
4 200735
5 200829
6 200926
7 200626
8 200625
9 200724
10 200623
11 200918
12 200618
13 200518
14 200617
15 200615
16 200513
17 200813
18 200611
19 200411
20 200710

About Brian H. Berkeley

Brian H. Berkeley is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computational Mechanics, Computer Vision and Pattern Recognition and Media Technology, having authored 54 papers that have together received 600 indexed citations. Recurring topics across this work include Color Science and Applications (18 papers), Surface Roughness and Optical Measurements (16 papers), Thin-Film Transistor Technologies (14 papers), Advanced Optical Imaging Technologies (10 papers), Semiconductor Lasers and Optical Devices (8 papers), CCD and CMOS Imaging Sensors (7 papers), Image and Video Quality Assessment (7 papers) and Industrial Vision Systems and Defect Detection (6 papers). The work is most often cited by research in Media Technology (135 citations), Electronic, Optical and Magnetic Materials (126 citations), Computer Vision and Pattern Recognition (126 citations), Electrical and Electronic Engineering (339 citations) and Atomic and Molecular Physics, and Optics (173 citations). Brian H. Berkeley has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang Soo Kim, Seunghwan Moon, Kyeong‐Hyeon Kim, Sang Soo Kim, Heejin Choi, Sangsoo Kim, Hyoungsik Nam, Jae‐Hyeung Park, Taesung Kim and Min‐Cheol Lee. Their work appears in journals such as Journal of the Society for Information Display, Japanese Journal of Applied Physics, Journal of Information Display, Sensors and Actuators A Physical and Information Display.

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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