This map shows the geographic impact of Gerry Dozier'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 Gerry Dozier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerry Dozier more than expected).
This network shows the impact of papers produced by Gerry Dozier. 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 Gerry Dozier. The network helps show where Gerry Dozier may publish in the future.
Co-authorship network of co-authors of Gerry Dozier
This figure shows the co-authorship network connecting the top 25 collaborators of Gerry Dozier.
A scholar is included among the top collaborators of Gerry Dozier 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 Gerry Dozier. Gerry Dozier is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shelton, Joseph, et al.. (2016). Towards the Development of a Cyber Analysis & Advisement Tool (CAAT) for Mitigating De-Anonymization Attacks. 41–45.5 indexed citations
Shelton, Joseph, et al.. (2012). Pixel Consistency, K-Tournament Selection, and Darwinian-Based Feature Extraction.. 126–130.2 indexed citations
8.
Dozier, Gerry, Kelvin Bryant, Joshua Adams, et al.. (2011). Genetic-Based Selection and Weighting for LBP, oLBP, and Eigenface Feature Extraction.. 221–224.3 indexed citations
9.
Shelton, Joseph, Gerry Dozier, Kelvin Bryant, et al.. (2011). Comparison of Genetic-based Feature Extraction Methods for Facial Recognition.. 216–220.9 indexed citations
10.
Dozier, Gerry, et al.. (2011). GEFeWS: A Hybrid Genetic-Based Feature Weighting and Selection Algorithm for Multi-Biometric Recognition.. 86–90.6 indexed citations
11.
Dozier, Gerry, Joshua Adams, Damon L. Woodard, Kelvin Bryant, & Philip E. Miller. (2010). A Comparison of Two Genetic & Evolutionary Feature Selection Strategies for Periocular-Based Biometric Recognition via X-TOOLSS.. 215.5 indexed citations
Dozier, Gerry. (2003). Recurrent Distributed Constraint Satisfaction, Virtual Constraints and .Meta Evolutionary Societies of Hill-Climbers.. International Conference on Artificial Intelligence. 276–284.
15.
Dozier, Gerry. (2003). IDS Vulnerability Analysis Using Genertia Red Teams.. Security and Management. 171–176.2 indexed citations
16.
Dozier, Gerry, et al.. (2002). Solving Distributed Asymmetric CSPs via a Society of Hill-Climbers.. International Conference on Artificial Intelligence. 949–953.4 indexed citations
Esterline, Albert, et al.. (2000). A comparison of operators for solving time dependent traveling salesman problems using genetic algorithms. Genetic and Evolutionary Computation Conference. 995–1002.4 indexed citations
19.
Bowen, James & Gerry Dozier. (1996). Constraint satisfaction using a hybrid evolutionary hill-climbing algorithm that performs opportunistic arc and path revision. National Conference on Artificial Intelligence. 326–331.8 indexed citations
20.
Bowen, James & Gerry Dozier. (1995). Solving Constraint Satisfaction Problems Using a Genetic/Systematic Search Hybrid That Realizes When to Quit. international conference on Genetic algorithms. 122–129.21 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.