Joe Bailey

543 citations
22 papers · 456 · h-index 11

Impact in

Papers in

Joe Bailey

20 papers receiving 434 citations

Peers

Joe Bailey
Comparison fields: 5 of 44
  • Electronic, Optical and Magnetic Materials 141
  • Biomedical Engineering 143
  • Atomic and Molecular Physics, and Optics 72
  • Radiation 9
  • Artificial Intelligence 35
Replace Xiaoqi Dai with:
Xiaoqi Dai China
Jiaming Lyu China
Oussama Mahboub Morocco
Saeed Golmohammadi Iran
Keiichiro Toda Japan
Nicholas M. Fahrenkopf United States
Javad N. Farahani Switzerland
Nitipat Pholchai Germany
Annette Grot United States
Jeremy M. Lerner United States
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Citations per field
00.5×5×10×15×20×23×
Xiaoqi Dai · 1×
Citations per year

Countries citing papers authored by Joe Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Joe Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014111
2 201570
3 201451
4 201237
5 201036
6 201926
7 201321
8 201919
9 201818
10 201413
11 202312
12 201710
13 20159
14 20135
15 20135
16 20204
17 20244
18 20203
19 20111
20 20221

About Joe Bailey

Joe Bailey is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Biomedical Engineering, Condensed Matter Physics and Radiation, having authored 22 papers that have together received 456 indexed citations. Recurring topics across this work include Magnetic properties of thin films (6 papers), Metamaterials and Metasurfaces Applications (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Force Microscopy Techniques and Applications (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Advanced Condensed Matter Physics (2 papers), Nanopore and Nanochannel Transport Studies (1 paper) and Advanced X-ray Imaging Techniques (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (141 citations), Biomedical Engineering (143 citations), Atomic and Molecular Physics, and Optics (72 citations), Radiation (9 citations) and Artificial Intelligence (35 citations). Joe Bailey has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Yongzheng Wen, Xiaomei Yu, Wei Ma, Guy Matmon, David F Holmes, G. Aeppli, Andrew Edet Ekpenyong, Jochen R. Guck, Tom Duke and Nuria Vergara‐Irigaray. Their work appears in journals such as Applied Physics Letters, Interface Focus, Electrophoresis, National Science Review and AIP Advances.

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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