Skylar Gay

625 citations
21 papers · 266 indexed · h-index 9
Topics
Advanced Radiotherapy Techniques (14 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Medical Imaging Techniques and Applications (5 papers)

In The Last Decade

Skylar Gay

18 papers receiving 264 citations

Peers

Skylar Gay
Comparison fields: 5 of 42
  • Radiology, Nuclear Medicine and Imaging 207
  • Radiation 169
  • Pulmonary and Respiratory Medicine 92
  • Biomedical Engineering 69
  • Artificial Intelligence 32
Replace Joshua Giambattista with:
Joshua Giambattista Canada
Sharif Elguindi United States
Xenia Ray United States
Christoph Trauernicht South Africa
Ana Vaniqui Netherlands
Bowman Williams United States
Y. Rimmer United Kingdom
Mikel Byrne Australia
Kelly Kisling United States
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Skylar Gay relative to Joshua Giambattista Canada Joshua Giambattista's profile →
Citations per field
00.5×1.5×
Joshua Giambattista · 1×
Citations per year

Countries citing papers authored by Skylar Gay

Since Specialization
Citations

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

Fields of papers citing papers by Skylar Gay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Skylar Gay

This figure shows the co-authorship network connecting the top 25 collaborators of Skylar Gay. A scholar is included among the top collaborators of Skylar Gay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Skylar Gay. Skylar Gay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 4
6 0
7 3
8 3
9 9
10 3
11 19
12 60
13 8
14 53
15 13
16 15
17 28
18 2
19 5
20 18

About Skylar Gay

Skylar Gay is a scholar working on Radiation, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 266 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Radiation (169 citations), Health Informatics (15 citations) and Radiology, Nuclear Medicine and Imaging (207 citations). Skylar Gay has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Laurence E. Court, Tucker Netherton, Carlos Cárdenas, Dong Joo Rhee, Jinzhong Yang, Lifei Zhang, Rachel Ger, Heath D. Skinner, Adam S. Garden and Beth M. Beadle. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*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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