Philip R. Kavanaugh

40 total papers · 1.1k total citations
27 papers, 714 citations indexed

About

Philip R. Kavanaugh is a scholar working on Sociology and Political Science, Clinical Psychology and Epidemiology. According to data from OpenAlex, Philip R. Kavanaugh has authored 27 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 7 papers in Clinical Psychology and 7 papers in Epidemiology. Recurrent topics in Philip R. Kavanaugh's work include Crime Patterns and Interventions (7 papers), HIV, Drug Use, Sexual Risk (6 papers) and Substance Abuse Treatment and Outcomes (4 papers). Philip R. Kavanaugh is often cited by papers focused on Crime Patterns and Interventions (7 papers), HIV, Drug Use, Sexual Risk (6 papers) and Substance Abuse Treatment and Outcomes (4 papers). Philip R. Kavanaugh collaborates with scholars based in United States. Philip R. Kavanaugh's co-authors include Şenel Poyrazlı, Tammy L. Anderson, Katherine McLean, Eileen M. Ahlin, Jennifer C. Gibbs, Don Hummer and Ajima Olaghere and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, The British Journal of Criminology and International Journal of Drug Policy.

In The Last Decade

Philip R. Kavanaugh

27 papers receiving 643 citations

Author Peers

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

Author						Papers	Cites
Philip R. Kavanaugh	276	239	150	138	130	27	714
Sarah Pedersen	392 1.4×	195 0.8×	71 0.5×	178 1.3×	107 0.8×	47	888
Abigail Locke	293 1.1×	76 0.3×	90 0.6×	79 0.6×	81 0.6×	52	719
Adrienne H. Chung	344 1.2×	195 0.8×	140 0.9×	51 0.4×	62 0.5×	13	816
Casey Borch	291 1.1×	40 0.2×	254 1.7×	131 0.9×	188 1.4×	32	778
Iccha Basnyat	452 1.6×	168 0.7×	88 0.6×	28 0.2×	152 1.2×	43	777
Melissa L. Ricketts	550 2.0×	66 0.3×	180 1.2×	89 0.6×	172 1.3×	35	788
Stella C. Chia	458 1.7×	305 1.3×	84 0.6×	38 0.3×	139 1.1×	38	849
Yuki Fujioka	551 2.0×	277 1.2×	125 0.8×	274 2.0×	90 0.7×	20	899
Lois B. DeFleur	325 1.2×	40 0.2×	58 0.4×	103 0.7×	137 1.1×	30	770
Izumi Sakamoto	348 1.3×	78 0.3×	192 1.3×	176 1.3×	111 0.9×	26	722

Countries citing papers authored by Philip R. Kavanaugh

Since Specialization

Citations

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

Fields of papers citing papers by Philip R. Kavanaugh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip R. Kavanaugh. 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 Philip R. Kavanaugh. The network helps show where Philip R. Kavanaugh may publish in the future.

Co-authorship network of co-authors of Philip R. Kavanaugh

This figure shows the co-authorship network connecting the top 25 collaborators of Philip R. Kavanaugh. A scholar is included among the top collaborators of Philip R. Kavanaugh 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 Philip R. Kavanaugh. Philip R. Kavanaugh 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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