Statistics Education and Methodologies (3 papers)Probabilistic and Robust Engineering Design (2 papers)Statistical Distribution Estimation and Applications (2 papers)
Countries citing papers authored by Warren Gilchrist
Since Specialization
Citations
This map shows the geographic impact of Warren Gilchrist'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 Warren Gilchrist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren Gilchrist more than expected).
Fields of papers citing papers by Warren Gilchrist
This network shows the impact of papers produced by Warren Gilchrist. 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 Warren Gilchrist. The network helps show where Warren Gilchrist may publish in the future.
Co-authorship network of co-authors of Warren Gilchrist
This figure shows the co-authorship network connecting the top 25 collaborators of Warren Gilchrist.
A scholar is included among the top collaborators of Warren Gilchrist 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 Warren Gilchrist. Warren Gilchrist is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.