S. Bailey

3.9k citations
4 papers · 8 · h-index 3

Impact in

Papers in

S. Bailey

3 papers receiving 8 citations

Peers

S. Bailey
Comparison fields: 5 of 9
  • Nuclear and High Energy Physics 4
  • Computer Vision and Pattern Recognition 4
  • Astronomy and Astrophysics 3
  • Hardware and Architecture 1
  • Physical and Theoretical Chemistry 1
Replace T. Iizawa with:
T. Iizawa Japan
Matthias Kleifges Germany
B. A. Barnett United States
G. Tsipolitis Greece
J. Kasperek Poland
G. Mueller Germany
I. A. Christidi United States
Xue-Lei Cao Italy
А. Порелли Germany
U. Blumenschein United States
S. Bailey relative to T. Iizawa Japan T. Iizawa's profile →
Citations per field
00.5×1.5×
T. Iizawa · 1×
Citations per year

Countries citing papers authored by S. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by S. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown
#Work
1
THE THIRTEENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY: FIRST SPECTROSCOPIC DATA FROM THE SDSS-IV SURVEY MAPPING NEARBY GALAXIES AT APACHE POINT OBSERVATORY
20173
2 20043
3
Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms
20212
4 20010

About S. Bailey

S. Bailey is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Oceanography, Information Systems and Management and Instrumentation, having authored 4 papers that have together received 8 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (1 paper), Particle Detector Development and Performance (1 paper), Particle Accelerators and Free-Electron Lasers (1 paper), Astronomy and Astrophysical Research (1 paper), Particle physics theoretical and experimental studies (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper), Radiation Detection and Scintillator Technologies (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4 citations), Computer Vision and Pattern Recognition (4 citations), Astronomy and Astrophysics (3 citations), Hardware and Architecture (1 citation) and Physical and Theoretical Chemistry (1 citation). S. Bailey has collaborated with scholars based in United States and France. Frequent co-authors include M. A. G. Maia, John K. Parejko, Kelly Holley‐Bockelmann, David L. Nidever, Franco D. Albareti, L. Girardi, Lin Lin, Robert C. Nichol, Will J. Percival and R. Maiolino. Their work appears in journals such as IEEE Transactions on Nuclear Science, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, eScholarship (California Digital Library) and HAL (Le Centre pour la Communication Scientifique Directe).

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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