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.
Translating developmental time across mammalian species
2001962 citationsBarbara Clancy, Richard B. Darlington et al.Neuroscienceprofile →
Multiple regression in psychological research and practice.
1968960 citationsRichard B. DarlingtonPsychological Bulletinprofile →
Countries citing papers authored by Richard B. Darlington
Since
Specialization
Citations
This map shows the geographic impact of Richard B. Darlington'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 Richard B. Darlington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard B. Darlington more than expected).
Fields of papers citing papers by Richard B. Darlington
This network shows the impact of papers produced by Richard B. Darlington. 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 Richard B. Darlington. The network helps show where Richard B. Darlington may publish in the future.
Co-authorship network of co-authors of Richard B. Darlington
This figure shows the co-authorship network connecting the top 25 collaborators of Richard B. Darlington.
A scholar is included among the top collaborators of Richard B. Darlington 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 Richard B. Darlington. Richard B. Darlington is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Darlington, Richard B.. (2023). The case for minimax-TD. Constitutional Political Economy. 34(3). 410–420.
Workman, Alan D., Christine J. Charvet, Barbara Clancy, Richard B. Darlington, & Barbara L. Finlay. (2013). Modeling Transformations of Neurodevelopmental Sequences across Mammalian Species. Journal of Neuroscience. 33(17). 7368–7383.578 indexed citations breakdown →
Clancy, Barbara, Barbara L. Finlay, Richard B. Darlington, & K.J.S. Anand. (2007). Extrapolating brain development from experimental species to humans. NeuroToxicology. 28(5). 931–937.646 indexed citations breakdown →
Clancy, Barbara, Richard B. Darlington, & Barbara L. Finlay. (2001). Translating developmental time across mammalian species. Neuroscience. 105(1). 7–17.962 indexed citations breakdown →
Darlington, Richard B.. (1996). Estimating the True Accuracy of Regression Predictions.. ScholarWorks@BGSU (Bowling Green State University). 9(4). 29–31.5 indexed citations
Finlay, Barbara L. & Richard B. Darlington. (1995). Linked Regularities in the Development and Evolution of Mammalian Brains. Science. 268(5217). 1578–1584.845 indexed citations breakdown →
Lazar, Irving, et al.. (1982). Lasting Effects of Early Education: A Report from the Consortium for Longitudinal Studies. Monographs of the Society for Research in Child Development. 47(2/3). i–i.555 indexed citations breakdown →
Darlington, Richard B. & Paul Horst. (1966). Factor Analysis of Data Matrices. The American Journal of Psychology. 79(2). 344–344.347 indexed citations breakdown →
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.