Clair J. Sullivan

522 citations
27 papers · 379 · h-index 11

Impact in

Papers in

Clair J. Sullivan

27 papers receiving 357 citations

Peers

Clair J. Sullivan
Comparison fields: 5 of 69
  • Radiation 249
  • Radiological and Ultrasound Technology 62
  • Global and Planetary Change 63
  • Aerospace Engineering 60
  • Radiology, Nuclear Medicine and Imaging 42
Replace Todd S. Palmer with:
Todd S. Palmer United States
Zhonghua Liang China
Gang Hu China
Jianxin Feng China
Keita Hatanaka Japan
Frank Cremer Netherlands
G. A. Mikhaı̆lov Russia
Stephanie Thomas United States
Helin Gong China
Clair J. Sullivan relative to Todd S. Palmer United States Todd S. Palmer's profile →
Citations per field
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Todd S. Palmer · 1×
Citations per year

Countries citing papers authored by Clair J. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Clair J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clair J. Sullivan. 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 Clair J. Sullivan. The network helps show where Clair J. Sullivan may publish in the future.

Co-authors

The 21 scholars most cited alongside Clair J. Sullivan, 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 Clair J. Sullivan Line = papers co-authored together Clair J. Sullivan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201846
3 200634
4 201826
5 201922
6 200719
7 201418
8 200518
9 201813
10 201812
11 201311
12 200710
13 20169
14 20169
15 20039
16 20178
17 20138
18 20076
19 20195
20 20064

About Clair J. Sullivan

Clair J. Sullivan is a scholar working on Radiation, Global and Planetary Change, Computer Vision and Pattern Recognition, Ecology and Artificial Intelligence, having authored 27 papers that have together received 379 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (13 papers), Nuclear Physics and Applications (12 papers), Radioactive contamination and transfer (7 papers), Medical Imaging Techniques and Applications (4 papers), Image and Signal Denoising Methods (4 papers), Atomic and Subatomic Physics Research (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers) and Isotope Analysis in Ecology (3 papers). The work is most often cited by research in Radiation (249 citations), Radiological and Ultrasound Technology (62 citations), Global and Planetary Change (63 citations), Aerospace Engineering (60 citations) and Radiology, Nuclear Medicine and Imaging (42 citations). Clair J. Sullivan has collaborated with scholars based in United States and South Korea. Frequent co-authors include K. B. Butterfield, Zhe Zhang, Shaowen Wang, Mark Nelson, Jing Lu, Shiva Abbaszadeh, T. H. Prettyman, A. Bürger, Hailiang Xiong and Michael Groza. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, PLoS ONE, Transactions in GIS and Radiation Physics and Chemistry.

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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