Rachel Shirley

3.4k citations
24 papers · 484 indexed · h-index 11

Rachel Shirley

23 papers receiving 471 citations

Peers

Rachel Shirley
Comparison fields: 5 of 106
  • Neurology 120
  • Radiological and Ultrasound Technology 39
  • Statistics, Probability and Uncertainty 51
  • Oncology 115
  • Cancer Research 57
Replace Paola Tolu with:
Paola Tolu Italy
Huisheng Wu China
Qiuyu Yang China
Xudong Zhou China
Nana Wang China
Jianfeng Cheng United States
Susan Bellman Australia
Qingyan Zhao China
Jingjing Wei China
Rachel Shirley relative to Paola Tolu Italy Paola Tolu's profile →
Citations per field
00.5×10×20×25.5×
Paola Tolu · 1×
Citations per year

Countries citing papers authored by Rachel Shirley

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Shirley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20220
3 20202
4 20201
5 20193
6 201915
7 20194
8
Science-based HRA: experimental comparison of operator performance to IDAC (Information-Decision-Action Crew) simulations
20161
9
An assessment of the scope of a full validation of the Technique for Human Error Rate Prediction (THERP) in a digital nuclear power plant simulator
20152
10 201523
11 20157
12 201519
13 201537
14 20151
15 201441
16 2014223
17 201421
18 201319
19 20127
20 201012

About Rachel Shirley

Rachel Shirley is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Neurology, having authored 24 papers that have together received 484 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (6 papers), Risk and Safety Analysis (6 papers), Occupational Health and Safety Research (6 papers), Cancer Risks and Factors (4 papers), Human-Automation Interaction and Safety (3 papers), Colorectal Cancer Screening and Detection (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Neurology (120 citations), Radiological and Ultrasound Technology (39 citations) and Statistics, Probability and Uncertainty (51 citations). Rachel Shirley has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Lorraine M. Work, Emily Ord, Ian Campbell, Nina Scott, Ross Lawrenson, Carol Smidts, Sanjeewa Seneviratne, Sanjeewa Seneviratne, Meng Li and Yunfei Zhao.

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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