A. D. Lunn

566 citations
22 papers · 386 · h-index 10

Impact in

  • Software top 10%
    • Software Reliability and Analysis Research
    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Statistical Methods in Clinical Trials

Papers in

A. D. Lunn

22 papers receiving 364 citations

Peers

A. D. Lunn
Comparison fields: 5 of 113
  • Software 40
  • Statistics and Probability 76
  • Critical Care and Intensive Care Medicine 31
  • Geochemistry and Petrology 27
  • Developmental Neuroscience 16
Replace A. R. Nematollahi with:
A. R. Nematollahi Iran
Hongwei Liu China
Brian Weaver United States
Subrata Kundu India
Maria Eduarda Silva Portugal
Parminder Singh India
Michel Dekking Netherlands
Ryan T. White United States
Abdus Saboor Pakistan
Jian Shi China
A. D. Lunn relative to A. R. Nematollahi Iran A. R. Nematollahi's profile →
Citations per field
00.5×1.5×
A. R. Nematollahi · 1×
Citations per year

Countries citing papers authored by A. D. Lunn

Since Specialization
Citations

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

Fields of papers citing papers by A. D. Lunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. D. Lunn. 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 A. D. Lunn. The network helps show where A. D. Lunn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199893
2 201161
3 201648
4 199529
5 199624
6 199721
7 200920
8 199719
9 199819
10 20189
11 19959
12 19958
13 19955
14 19955
15 19934
16 19963
17 20242
18 19962
19 19932
20 19941

About A. D. Lunn

A. D. Lunn is a scholar working on Statistics and Probability, Artificial Intelligence, Software, Biomedical Engineering and Information Systems, having authored 22 papers that have together received 386 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (3 papers), Advanced Radiotherapy Techniques (2 papers), Software Engineering Research (2 papers), Statistical Methods and Inference (2 papers), Advances in Oncology and Radiotherapy (2 papers), Radiation Dose and Imaging (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Software (40 citations), Statistics and Probability (76 citations), Critical Care and Intensive Care Medicine (31 citations), Geochemistry and Petrology (27 citations) and Developmental Neuroscience (16 citations). A. D. Lunn has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Rebecca J. Lunn, John H R May, Clare E. Bond, Zoe K. Shipton, David J. Hand, Gareth M. Hughes, A. David Smith, Keith L. Dorrington, Donald J. Lehmann and Kevin McConway. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Clinical Oncology, Journal of Breath Research, Anaesthesia and Geology.

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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