This map shows the geographic impact of Ken Barker'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 Ken Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Barker more than expected).
This network shows the impact of papers produced by Ken Barker. 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 Ken Barker. The network helps show where Ken Barker may publish in the future.
Co-authorship network of co-authors of Ken Barker
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Barker.
A scholar is included among the top collaborators of Ken Barker 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 Ken Barker. Ken Barker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alhajj, Reda, et al.. (2006). Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm.. 389–395.11 indexed citations
9.
Camorlinga, Sergio & Ken Barker. (2006). A complex adaptive system based on squirrels behaviors for distributed resource allocation. Web Intelligence and Agent Systems An International Journal. 4(1). 1–23.5 indexed citations
10.
Barker, Ken, et al.. (2006). RA: An XML Schema Reduction Algorithm..3 indexed citations
11.
Ezeife, C. I., et al.. (2005). INDEPENDENT DE-DUPLICATION IN DATA CLEANING. SHILAP Revista de lepidopterología. 29(2). 53–68.1 indexed citations
Barker, Ken, et al.. (2004). ConvRel. 698–702.8 indexed citations
16.
Özyer, Tansel, Reda Alhajj, & Ken Barker. (2003). A boosting genetic fuzzy classifier for intrusion detection using data mining techniques for rule pre-screening. 983–992.2 indexed citations
17.
Du, Jun, Ken Barker, & Reda Alhajj. (2003). Attraction - A Global Affinity Measure for Database Vertical Partitioning.. 538–548.8 indexed citations
Barker, Ken, et al.. (1995). Class fragmentation in a distributed object based system. 175–175.1 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.