Pamela J. Davy

40 total papers · 712 total citations
25 papers, 508 citations indexed

About

Pamela J. Davy is a scholar working on Artificial Intelligence, Applied Mathematics and Food Science. According to data from OpenAlex, Pamela J. Davy has authored 25 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Applied Mathematics and 4 papers in Food Science. Recurrent topics in Pamela J. Davy's work include Point processes and geometric inequalities (5 papers), Geochemistry and Geologic Mapping (4 papers) and Sensory Analysis and Statistical Methods (4 papers). Pamela J. Davy is often cited by papers focused on Point processes and geometric inequalities (5 papers), Geochemistry and Geologic Mapping (4 papers) and Sensory Analysis and Statistical Methods (4 papers). Pamela J. Davy collaborates with scholars based in Australia, United States and Ireland. Pamela J. Davy's co-authors include R. E. Miles, Eric J. Beh, F.J. Guild, Mark Nelson, David Hailey, Ping Yu, Siyu Qian, Nongnit Chancharat, Michael McCrae and Gary Gang Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Applications and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Pamela J. Davy

23 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Pamela J. Davy	130	60	55	51	50	25	508
Paul S. Dwyer	51 0.4×	108 1.8×	64 1.2×	29 0.6×	14 0.3×	42	528
Stuart Barber	15 0.1×	99 1.6×	67 1.2×	8 0.2×	17 0.3×	32	617
Ashok Sahai	44 0.3×	158 2.6×	124 2.3×	4 0.1×	7 0.1×	45	511
Peter Straka	93 0.7×	36 0.6×	9 0.2×	3 0.1×	5 0.1×	22	541
C. H. Edwards	28 0.2×	32 0.5×	28 0.5×	92 1.8×	4 0.1×	24	595
А. В. Иванов	67 0.5×	143 2.4×	59 1.1×	24 0.5×	6 0.1×	67	544
Tõnu Kollo	52 0.4×	322 5.4×	137 2.5×	13 0.3×	28 0.6×	25	574
Oona Rainio	28 0.2×	5 0.1×	103 1.9×	34 0.7×	3 0.1×	38	494
Christophe Abraham	12 0.1×	149 2.5×	219 4.0×	32 0.6×	35 0.7×	27	494
Janusz Gajda	42 0.3×	43 0.7×	20 0.4×	6 0.1×	5 0.1×	46	480

Countries citing papers authored by Pamela J. Davy

Since Specialization

Citations

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

Fields of papers citing papers by Pamela J. Davy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela J. Davy. 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 Pamela J. Davy. The network helps show where Pamela J. Davy may publish in the future.

Co-authorship network of co-authors of Pamela J. Davy

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela J. Davy. A scholar is included among the top collaborators of Pamela J. Davy 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 Pamela J. Davy. Pamela J. Davy 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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