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.
Defending Critical Infrastructure
2006542 citationsGerald G. Brown, Matthew Carlyle et al.INFORMS Journal on Applied Analyticsprofile →
Global Supply Chain Management at Digital Equipment Corporation
1995534 citationsBruce C. Arntzen, Gerald G. Brown et al.INFORMS Journal on Applied Analyticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Gerald G. Brown
Since
Specialization
Citations
This map shows the geographic impact of Gerald G. Brown'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 Gerald G. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald G. Brown more than expected).
This network shows the impact of papers produced by Gerald G. Brown. 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 Gerald G. Brown. The network helps show where Gerald G. Brown may publish in the future.
Co-authorship network of co-authors of Gerald G. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald G. Brown.
A scholar is included among the top collaborators of Gerald G. Brown 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 Gerald G. Brown. Gerald G. Brown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Parnell, Gregory S., Luciana Borio, Louis Anthony Cox, et al.. (2009). Response to Ezell and von Winterfeldt. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science. 7(1). 111–112.1 indexed citations
4.
Parnell, Gregory S., Luciana Borio, Gerald G. Brown, David Banks, & Alyson G. Wilson. (2008). Scientists Urge DHS to Improve Bioterrorism Risk Assessment. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science. 6(4). 353–356.12 indexed citations
5.
Brown, Gerald G. & Robert F. Dell. (2007). Formulating Linear and Integer Linear Programs: A Rogues' Gallery. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School).3 indexed citations
Arntzen, Bruce C., et al.. (1995). Global Supply Chain Management at Digital Equipment Corporation. INFORMS Journal on Applied Analytics. 25(1). 69–93.534 indexed citations breakdown →
9.
Brown, Gerald G., et al.. (1994). Dispatching Shipments at Minimal Cost with Multiple Mode Alternatives. Journal of Business Logistics. 15(1).7 indexed citations
Geoffrion, Arthur M., Gerald G. Brown, & Gordon H. Bradley. (1979). Seasonal Production and Sales Planning with Limited Shared Tooling at the Key Operation..3 indexed citations
15.
Brown, Gerald G., et al.. (1978). TANK BARGE OIL POLLUTION STUDY.
16.
Brown, Gerald G.. (1974). Nonlinear Statistical Estimation with Numerical Maximum Likelihood. University Microfilms eBooks.
Brown, Gerald G.. (1972). A Literary history of Spain.7 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.