Daniel W. Bailey

1.2k citations
46 papers · 900 · h-index 19

Impact in

Papers in

Daniel W. Bailey

43 papers receiving 877 citations

Peers

Daniel W. Bailey
Comparison fields: 5 of 89
  • Radiation 252
  • Atomic and Molecular Physics, and Optics 311
  • Agronomy and Crop Science 86
  • Radiology, Nuclear Medicine and Imaging 110
  • Equine 8
Replace U. Schumacher with:
U. Schumacher Germany
Mikael Eriksson Sweden
R. L. Smith United States
T. Kanai Japan
Kirsten Paludan Denmark
Sho Watanabe Japan
Kálmán Nagy Hungary
Kenichi Tanaka Japan
Ute Linz Germany
Tatsufumi Nakamura Japan
Daniel W. Bailey relative to U. Schumacher Germany U. Schumacher's profile →
Citations per field
00.5×10.8×
U. Schumacher · 1×
Citations per year

Countries citing papers authored by Daniel W. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Bailey. 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 Daniel W. Bailey. The network helps show where Daniel W. Bailey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 201169
3 201063
4 199062
5 200848
6 199047
7 199246
8 201140
9 201037
10 201832
11 198828
12 201426
13 199325
14 199822
15 201020
16 202220
17 199519
18 199518
19 198818
20 201516

About Daniel W. Bailey

Daniel W. Bailey is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Radiation, Pulmonary and Respiratory Medicine and Agronomy and Crop Science, having authored 46 papers that have together received 900 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (17 papers), Semiconductor materials and devices (12 papers), Advanced Radiotherapy Techniques (11 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Radiation Therapy and Dosimetry (4 papers), Reproductive Physiology in Livestock (4 papers), Marine and fisheries research (2 papers) and Laser Material Processing Techniques (2 papers). The work is most often cited by research in Radiation (252 citations), Atomic and Molecular Physics, and Optics (311 citations), Agronomy and Crop Science (86 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Equine (8 citations). Daniel W. Bailey has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Christopher J. Stanton, K. Hess, Matthew B. Podgorsak, Lalith K. Kumaraswamy, C. J. Stanton, H Malhotra, Robert C. Burghardt, Fuller W. Bazer, Kathrin A. Dunlap and Greg A. Johnson. Their work appears in journals such as Medical Physics, Physical review. B, Condensed matter, Journal of Applied Clinical Medical Physics, Solid-State Electronics and Journal of Applied Physics.

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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