Roland S. Moore

123 total papers · 2.4k total citations
95 papers, 1.8k citations indexed

About

Roland S. Moore is a scholar working on General Health Professions, Epidemiology and Physiology. According to data from OpenAlex, Roland S. Moore has authored 95 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in General Health Professions, 29 papers in Epidemiology and 21 papers in Physiology. Recurrent topics in Roland S. Moore's work include Substance Abuse Treatment and Outcomes (29 papers), Smoking Behavior and Cessation (19 papers) and Alcohol Consumption and Health Effects (13 papers). Roland S. Moore is often cited by papers focused on Substance Abuse Treatment and Outcomes (29 papers), Smoking Behavior and Cessation (19 papers) and Alcohol Consumption and Health Effects (13 papers). Roland S. Moore collaborates with scholars based in United States, Canada and United Kingdom. Roland S. Moore's co-authors include Genevieve M. Ames, Carol B. Cunradi, Joel W. Grube, Juliet P. Lee, Jayne M. Standley, Michael R. Duke, John Frank, Bettina Friese, Tamar M. J. Antin and Harold D. Holder and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, American Journal of Public Health and Social Science & Medicine.

In The Last Decade

Roland S. Moore

90 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Roland S. Moore	711	592	331	284	230	95	1.8k
C. Debra M. Furr‐Holden	774 1.1×	654 1.1×	421 1.3×	522 1.8×	279 1.2×	82	2.2k
Bruce Maycock	560 0.8×	776 1.3×	337 1.0×	385 1.4×	237 1.0×	103	2.4k
Ilana Pinsky	561 0.8×	776 1.3×	342 1.0×	301 1.1×	126 0.5×	96	2.0k
Nyanda McBride	874 1.2×	796 1.3×	568 1.7×	164 0.6×	125 0.5×	86	1.9k
Adam J. Milam	603 0.8×	399 0.7×	304 0.9×	451 1.6×	197 0.9×	114	1.7k
L. A. R. Stein	467 0.7×	712 1.2×	467 1.4×	208 0.7×	170 0.7×	86	1.5k
Katarína Guttmannova	518 0.7×	630 1.1×	370 1.1×	187 0.7×	137 0.6×	61	1.5k
Patricia A. Harrison	661 0.9×	586 1.0×	754 2.3×	281 1.0×	184 0.8×	56	2.1k
Ladislav Csémy	388 0.5×	392 0.7×	718 2.2×	227 0.8×	170 0.7×	69	1.7k
Sara Markowitz	874 1.2×	399 0.7×	379 1.1×	486 1.7×	303 1.3×	84	2.3k

Countries citing papers authored by Roland S. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Roland S. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland S. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Roland S. Moore. A scholar is included among the top collaborators of Roland S. Moore 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 Roland S. Moore. Roland S. Moore 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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