William Shields

1.1k citations
20 papers · 563 indexed · h-index 9

Impact in

Papers in

    • Artificial Intelligence in Healthcare and Education 4
    • Radiation Detection and Scintillator Technologies 3

William Shields

18 papers receiving 548 citations

Peers

William Shields
Comparison fields: 5 of 86
  • Health Informatics 293
  • Radiology, Nuclear Medicine and Imaging 333
  • Radiation 71
  • Family Practice 14
  • Artificial Intelligence 118
Replace Philipp Wesp with:
Philipp Wesp Germany
Taiki Nozaki Japan
Felix Busch Germany
Mariko Kawamura Japan
Alice Yu United States
Michael Püsken Germany
Sumeet Hindocha United Kingdom
Farouk Dako United States
Joseph Mammarappallil United States
Laleh Seyyed-Kalantari Canada
William Shields relative to Philipp Wesp Germany Philipp Wesp's profile →
Citations per field
00.5×3.3×
Philipp Wesp · 1×
Citations per year

Countries citing papers authored by William Shields

Since Specialization
Citations

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

Fields of papers citing papers by William Shields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20226
3 202110
4 20211
5 202042
6 202012
7 2019206
8 201971
9 20194
10 201919
11 201973
12 20190
13 201980
14 20191
15 20190
16 20164
17 20156
18 20156
19 201213
20 20067

About William Shields

William Shields is a scholar working on Health Informatics, Radiation, Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine and Health Information Management, having authored 20 papers that have together received 563 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (8 papers), Artificial Intelligence in Healthcare and Education (4 papers), Particle Detector Development and Performance (3 papers), Autopsy Techniques and Outcomes (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Particle accelerators and beam dynamics (3 papers), Particle Accelerators and Free-Electron Lasers (3 papers) and Radiation Detection and Scintillator Technologies (3 papers). The work is most often cited by research in Health Informatics (293 citations), Radiology, Nuclear Medicine and Imaging (333 citations), Radiation (71 citations), Family Practice (14 citations) and Artificial Intelligence (118 citations). William Shields has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include J. Raymond Geis, Adrian P. Brady, R. van den Hoven van Genderen, Elmar Kotter, Judy Wawira Gichoya, Jack Spencer, Erik Ranschaert, Jacob L. Jaremko, Tessa S. Cook and Andrea Borondy Kitts. Their work appears in journals such as Journal of the American College of Radiology, Computer Physics Communications, Medical Physics, Radiology and Insights into Imaging.

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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