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.
The Potassium-Argon Dating of Late Cenozoic Rocks in East Africa and Italy [and Comments and Reply]
Countries citing papers authored by William Bishop
Since
Specialization
Citations
This map shows the geographic impact of William Bishop'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 William Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Bishop more than expected).
This network shows the impact of papers produced by William Bishop. 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 William Bishop. The network helps show where William Bishop may publish in the future.
Co-authorship network of co-authors of William Bishop
This figure shows the co-authorship network connecting the top 25 collaborators of William Bishop.
A scholar is included among the top collaborators of William Bishop 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 William Bishop. William Bishop is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wong, Alexander & William Bishop. (2008). Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks.. IPCV. 3–9.
4.
Wong, Alexander & William Bishop. (2007). Intelligent multi-level regions-of-interest (ROI) document image encryption using an online learning model. International Conference on Signal Processing. 215–221.1 indexed citations
5.
Wong, Alexander & William Bishop. (2007). Adaptive large scale artifact reduction in edge-based image super-resolution. 230–235.1 indexed citations
6.
Wong, Alexander & William Bishop. (2007). Simultaneous Gamma Correction and Registration in the Frequency Domain.. IPCV. 145–151.3 indexed citations
Wong, Alexander, William Bishop, & Jeff Orchard. (2006). Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps.. IPCV. 74–80.8 indexed citations
Bishop, William, et al.. (1971). Applications Of The Neutron Lifetime Log In New Wells. The Log analyst. 12(2).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.