Statistical Theory and Methodology in Science and Engineering1965 · 528 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.
This map shows the geographic impact of Otto Dykstra'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 Otto Dykstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Otto Dykstra more than expected).
This network shows the impact of papers produced by Otto Dykstra. 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 Otto Dykstra. The network helps show where Otto Dykstra may publish in the future.
Co-authors
The 4 scholars most cited alongside Otto Dykstra, 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 Otto DykstraLine = papers co-authored togetherOtto Dykstra links everyone, so they are left out of the graph.
Otto Dykstra is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Analytical Chemistry, Statistics and Probability and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (6 papers), Fault Detection and Control Systems (2 papers), Scientific Measurement and Uncertainty Evaluation (2 papers), graph theory and CDMA systems (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Manufacturing Process and Optimization (1 paper), Advanced Statistical Methods and Models (1 paper) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Statistics and Probability (228 citations), Statistics, Probability and Uncertainty (158 citations), Management Science and Operations Research (198 citations), Computational Theory and Mathematics (119 citations) and Industrial and Manufacturing Engineering (54 citations). Otto Dykstra has collaborated with scholars based in United States and France. Frequent co-authors include K. A. Brownlee, W. Edwards Deming, Forman S. Acton and Harold J. Larson. Their work appears in journals such as Technometrics, Biometrics and Journal of the American Statistical Association.
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.