Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina
20001.0k citationsSusan L. Cutter, Jerry T. Mitchell et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael S. Scott
Since
Specialization
Citations
This map shows the geographic impact of Michael S. Scott'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 Michael S. Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Scott more than expected).
Fields of papers citing papers by Michael S. Scott
This network shows the impact of papers produced by Michael S. Scott. 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 Michael S. Scott. The network helps show where Michael S. Scott may publish in the future.
Co-authorship network of co-authors of Michael S. Scott
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Scott.
A scholar is included among the top collaborators of Michael S. Scott 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 Michael S. Scott. Michael S. Scott is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Scott, Michael S.. (2017). Which Way to Better Policing?. Criminology & Public Policy. 16(2). 607–616.3 indexed citations
4.
Scott, Michael S.. (2014). Shifting and Sharing Responsibility for Public Safety Problems. SSRN Electronic Journal.10 indexed citations
5.
Scott, Michael S. & Stuart Kirby. (2012). Implementing POP: Leading, Structuring, and Managing a Problem-Oriented Police Agency. Lancaster EPrints (Lancaster University).10 indexed citations
Scott, Michael S.. (2010). GETTING THE POLICE TO TAKE PROBLEM-ORIENTED POLICING SERIOUSLY. 7(28). 141–169.7 indexed citations
8.
Sierhuis, Maarten, et al.. (2009). NASA's OCA Mirroring System: An Application of Multiagent Systems in Mission Control. Adaptive Agents and Multi-Agents Systems. 85–92.9 indexed citations
9.
Findley, Keith A. & Michael S. Scott. (2006). The Multiple Dimensions of Tunnel Vision in Criminal Cases. SSRN Electronic Journal.128 indexed citations
10.
Scott, Michael S., et al.. (2006). Clandestine Methamphetamine Labs, 2nd Edition.13 indexed citations
11.
Scott, Michael S., et al.. (2006). Assaults In and Around Bars, 2nd Edition.9 indexed citations
12.
Scott, Michael S.. (2006). Implementing Crime Prevention: Lessons Learned from Problem- oriented Policing Projects.11 indexed citations
13.
Scott, Michael S.. (2004). Loud Car Stereos.21 indexed citations
14.
Scott, Michael S.. (2004). Disorderly Youth in Public Places.24 indexed citations
15.
Scott, Michael S.. (2004). Benefits And Consequences Of Police Crackdowns.29 indexed citations
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.