Scott C. Williams

50 total papers · 1.5k total citations
31 papers, 800 citations indexed

About

Scott C. Williams is a scholar working on General Health Professions, Health Information Management and Pharmacy. According to data from OpenAlex, Scott C. Williams has authored 31 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 11 papers in Health Information Management and 5 papers in Pharmacy. Recurrent topics in Scott C. Williams's work include Healthcare Quality and Management (11 papers), Patient Satisfaction in Healthcare (11 papers) and Medical Malpractice and Liability Issues (5 papers). Scott C. Williams is often cited by papers focused on Healthcare Quality and Management (11 papers), Patient Satisfaction in Healthcare (11 papers) and Medical Malpractice and Liability Issues (5 papers). Scott C. Williams collaborates with scholars based in United States, United Kingdom and Greece. Scott C. Williams's co-authors include Stephen Schmaltz, Jerod M. Loeb, Richard G. Koss, David J. Morton, Andrew A. Adamczyk, Clifford Montreuil, Mark R. Chassin, Robert M. Wachter, David W. Baker and David W. Baker and has published in prestigious journals such as New England Journal of Medicine, Circulation and Stroke.

In The Last Decade

Scott C. Williams

28 papers receiving 738 citations

Author Peers

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

Author Last Decade Papers Cites
Scott C. Williams 325 179 159 138 103 31 800
Sheryl M Davies 327 1.0× 260 1.5× 77 0.5× 150 1.1× 233 2.3× 31 902
Justin Glasgow 244 0.8× 110 0.6× 60 0.4× 149 1.1× 200 1.9× 22 818
Michelle Beattie 435 1.3× 75 0.4× 30 0.2× 23 0.2× 44 0.4× 32 727
Azita G. Hamedani 147 0.5× 124 0.7× 64 0.4× 56 0.4× 350 3.4× 46 796
Stephen C. Hines 384 1.2× 128 0.7× 49 0.3× 87 0.6× 81 0.8× 23 838
Kimberly A. Fisher 201 0.6× 44 0.2× 21 0.1× 180 1.3× 53 0.5× 49 922
Mike J.L. Peters 199 0.6× 107 0.6× 73 0.5× 108 0.8× 65 0.6× 50 708
Annette Erichsen Andersson 162 0.5× 85 0.5× 35 0.2× 108 0.8× 53 0.5× 55 1.0k
Marlena H. Shin 261 0.8× 128 0.7× 97 0.6× 220 1.6× 131 1.3× 59 760
Gary S. Kaplan 341 1.0× 197 1.1× 161 1.0× 51 0.4× 55 0.5× 26 851

Countries citing papers authored by Scott C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Scott C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott C. Williams. 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 Scott C. Williams. The network helps show where Scott C. Williams may publish in the future.

Co-authorship network of co-authors of Scott C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Scott C. Williams. A scholar is included among the top collaborators of Scott C. Williams 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 Scott C. Williams. Scott C. Williams 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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