Jamie Moore

31 papers receiving 1.1k citations

Hit Papers

Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study 2021 · 476 citations
4760+1+3Years since publication100200300400

Peers

Jamie Moore
Comparison fields: 5 of 98
  • Health 431
  • Modeling and Simulation 137
  • Ecology, Evolution, Behavior and Systematics 474
  • Nature and Landscape Conservation 215
  • Infectious Diseases 239
Replace Abdul Moeed with:
Abdul Moeed Pakistan
Matthew Wallace United States
Mark A. Travassos United States
Craig R. Miller United States
Flávia Maria Darcie Marquitti Brazil
Florence Débarre France
Renato Mendes Coutinho Brazil
Wesley K. Savage United States
Joshua P. White Australia
Juan Carlos Navarro Venezuela
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Citations per field
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Citations per year

Countries citing papers authored by Jamie Moore

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study
Hit paper breakdown →
2021476
2 2011113
3 200847
4 200446
5 200337
6 200836
7 200535
8 200333
9 200233
10 200527
11 200926
12
Relationships among the living genera of beaked whales, with classification, diagnoses and keys
196824
13 200523
14 201620
15 201617
16 200317
17 200915
18 200415
19 200011
20 20229

About Jamie Moore

Jamie Moore is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Nature and Landscape Conservation, Sociology and Political Science and Plant Science, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant and animal studies (16 papers), Insect and Arachnid Ecology and Behavior (11 papers), Ecology and Vegetation Dynamics Studies (9 papers), Plant Parasitism and Resistance (6 papers), Animal Behavior and Reproduction (4 papers), Survey Methodology and Nonresponse (4 papers), Healthcare Policy and Management (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Health (431 citations), Modeling and Simulation (137 citations), Ecology, Evolution, Behavior and Systematics (474 citations), Nature and Landscape Conservation (215 citations) and Infectious Diseases (239 citations). Jamie Moore has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Claire L. Niedzwiedz, Michaela Benzeval, Michael J. Green, Srinivasa Vittal Katikireddi, Margaret Blake, Elaine Robertson, John R. Pannell, Stephen G. Compton, Jaco M. Greeff and Melanie J. Hatcher. Their work appears in journals such as Animal Behaviour, Proceedings of the Royal Society B Biological Sciences, Journal of the Royal Statistical Society Series A (Statistics in Society), Ecological Entomology and PLoS ONE.

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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