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.
Approximations for Digital Computers
1955588 citationsCecil Hastings, James Wong et al.Princeton University Press eBooksprofile →
Countries citing papers authored by Cecil Hastings
Since Specialization
Citations
This map shows the geographic impact of Cecil Hastings'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 Cecil Hastings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cecil Hastings more than expected).
This network shows the impact of papers produced by Cecil Hastings. 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 Cecil Hastings. The network helps show where Cecil Hastings may publish in the future.
Co-authorship network of co-authors of Cecil Hastings
This figure shows the co-authorship network connecting the top 25 collaborators of Cecil Hastings.
A scholar is included among the top collaborators of Cecil Hastings 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 Cecil Hastings. Cecil Hastings is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cecil Hastings is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Infectious Diseases, having authored 2 papers that have together received 618 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (1 paper), Numerical Methods and Algorithms (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Statistics and Probability (72 citations), Statistics, Probability and Uncertainty (55 citations) and Numerical Analysis (41 citations). Frequent co-authors include James Wong. Their work appears in journals such as Econometrica and Princeton University Press eBooks.
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.