Kellyn F Arnold

41 total papers · 1.6k total citations
18 papers, 861 citations indexed

About

Kellyn F Arnold is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Kellyn F Arnold has authored 18 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 4 papers in Economics and Econometrics. Recurrent topics in Kellyn F Arnold's work include Advanced Causal Inference Techniques (9 papers), Geochemistry and Geologic Mapping (3 papers) and COVID-19 epidemiological studies (3 papers). Kellyn F Arnold is often cited by papers focused on Advanced Causal Inference Techniques (9 papers), Geochemistry and Geologic Mapping (3 papers) and COVID-19 epidemiological studies (3 papers). Kellyn F Arnold collaborates with scholars based in United Kingdom, Netherlands and United States. Kellyn F Arnold's co-authors include Mark S. Gilthorpe, Peter W. G. Tennant, Georgia D Tomova, Eleanor J. Murray, Laurie Berrie, Wendy J. Harrison, George T. H. Ellison, Johannes Textor, Matthew P. Fox and Claire Keeble and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Kellyn F Arnold

18 papers receiving 852 citations

Hit Papers

Use of directed acyclic g... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kellyn F Arnold 171 109 87 84 82 18 861
Claire Keeble 102 0.6× 85 0.8× 74 0.9× 84 1.0× 46 0.6× 29 923
Lynsie R Ranker 129 0.8× 86 0.8× 82 0.9× 90 1.1× 74 0.9× 30 922
Tra My Pham 136 0.8× 105 1.0× 69 0.8× 52 0.6× 69 0.8× 23 941
Emily M. Mitchell 262 1.5× 127 1.2× 46 0.5× 158 1.9× 56 0.7× 33 877
Sarah Gadd 99 0.6× 75 0.7× 72 0.8× 84 1.0× 62 0.8× 8 929
Paul Madley‐Dowd 98 0.6× 56 0.5× 40 0.5× 102 1.2× 50 0.6× 24 769
Donald Malec 129 0.8× 187 1.7× 117 1.3× 46 0.5× 55 0.7× 27 805
R. A. Sugden 58 0.3× 169 1.6× 67 0.8× 44 0.5× 36 0.4× 17 736
Md Hamidul Huque 89 0.5× 66 0.6× 74 0.9× 166 2.0× 73 0.9× 47 767
Chris Wiesen 97 0.6× 156 1.4× 146 1.7× 65 0.8× 57 0.7× 19 1.0k

Countries citing papers authored by Kellyn F Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Kellyn F Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kellyn F Arnold. 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 Kellyn F Arnold. The network helps show where Kellyn F Arnold may publish in the future.

Co-authorship network of co-authors of Kellyn F Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of Kellyn F Arnold. A scholar is included among the top collaborators of Kellyn F Arnold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kellyn F Arnold. Kellyn F Arnold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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