Robin Willink

3.8k citations
67 papers · 726 · h-index 16

Impact in

Papers in

Robin Willink

63 papers receiving 573 citations

Peers

Robin Willink
Comparison fields: 5 of 129
  • Statistics, Probability and Uncertainty 431
  • Statistics and Probability 134
  • Radiation 45
  • Computer Networks and Communications 97
  • Biomedical Engineering 159
Replace Ignacio Lira with:
Ignacio Lira Chile
Wolfgang Wöger Germany
Walter Bich Italy
Keith R. Eberhardt United States
M G Cox United Kingdom
Klaus‐Dieter Sommer Germany
David J. Olive United States
Donald M. Olsson United States
Douglas G. Simpson United States
S. Hashem United States
Robin Willink relative to Ignacio Lira Chile Ignacio Lira's profile →
Citations per field
00.5×1.5×
Ignacio Lira · 1×
Citations per year

Countries citing papers authored by Robin Willink

Since Specialization
Citations

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

Fields of papers citing papers by Robin Willink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201359
2 200738
3 200237
4 200229
5 200529
6 200527
7 200127
8 200526
9 200525
10 200525
11 200621
12 200618
13 200618
14 199517
15 200317
16 200916
17 200315
18 199414
19 200414
20 201313

About Robin Willink

Robin Willink is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Biomedical Engineering, Food Science and Computer Networks and Communications, having authored 67 papers that have together received 726 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (39 papers), Advanced Statistical Process Monitoring (24 papers), Advanced Statistical Methods and Models (15 papers), Pesticide Residue Analysis and Safety (9 papers), Sensor Technology and Measurement Systems (8 papers), Advanced Sensor Technologies Research (8 papers), Cardiovascular Health and Disease Prevention (7 papers) and Statistical Distribution Estimation and Applications (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (431 citations), Statistics and Probability (134 citations), Radiation (45 citations), Computer Networks and Communications (97 citations) and Biomedical Engineering (159 citations). Robin Willink has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include B. D. Hall, David H. Evans, Ignacio Lira, D. R. White, Simon McDowell, Jeremy Krebs, Claire Henry, Rebecca Grainger, Sara Filoche and Melissa James. Their work appears in journals such as Metrologia, Accreditation and Quality Assurance, IEEE Transactions on Biomedical Engineering, Ultrasound in Medicine & Biology and Measurement Science and Technology.

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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