The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses1984 · 2.0k citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
1984SIAM Journal on Scientific and Statistical Computing
1982Medical Entomology and Zoology
1982Medical Entomology and Zoology
1955Econometrica
Peers
Herman Wold
Comparison fields: 5 of 221
Analytical Chemistry960
Statistics and Probability604
Information Systems and Management397
Organizational Behavior and Human Resource Management434
This map shows the geographic impact of Herman Wold'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 Herman Wold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herman Wold more than expected).
This network shows the impact of papers produced by Herman Wold. 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 Herman Wold. The network helps show where Herman Wold may publish in the future.
Co-authors
The 25 scholars most cited alongside Herman Wold, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Herman WoldLine = papers co-authored togetherHerman Wold links everyone, so they are left out of the graph.
All Works
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Work
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The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
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