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.
Probability and Statistics for Engineering and the Sciences.
This map shows the geographic impact of Jay L. Devore'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 Jay L. Devore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay L. Devore more than expected).
This network shows the impact of papers produced by Jay L. Devore. 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 Jay L. Devore. The network helps show where Jay L. Devore may publish in the future.
Co-authorship network of co-authors of Jay L. Devore
This figure shows the co-authorship network connecting the top 25 collaborators of Jay L. Devore.
A scholar is included among the top collaborators of Jay L. Devore 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 Jay L. Devore. Jay L. Devore 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.
Devore, Jay L.. (2012). Probabilidad y Estadistica para Ingenieria y Ciencias. Virtual Defense Library (Ministerio de Defensa).29 indexed citations
Peck, Roxy, Chris Olsen, & Jay L. Devore. (2007). Introduction to Statistics and Data Analysis (with ThomsonNOW Printed Access Card).6 indexed citations
4.
Devore, Jay L.. (2007). Applied Regression Analysis: A Second Course in Business and Economic Statistics (4th ed.), Terry E. Dielman. The American Statistician. 61. 367–367.2 indexed citations
Devore, Jay L.. (2006). A Modern Introduction to Probability and Statistics: Understanding Why and How. F. M. Dekking, C. Kraaikamp, H. P. Lopuhaa, and L. E. Meester. RePEc: Research Papers in Economics. 101. 393–394.11 indexed citations
Devore, Jay L.. (2004). Probability and statistics for engineering and the sciences / Jay L. Devore. 2004(2004). 1–99.8 indexed citations
10.
Goldman, A. & Jay L. Devore. (1988). Probability and Statistics for Engineering and the Sciences. Technometrics. 30(2). 235–235.450 indexed citations breakdown →
11.
Devore, Jay L., et al.. (1988). Statistics: The Exploration and Analysis of Data. Technometrics. 30(4). 460–460.481 indexed citations breakdown →
12.
Devore, Jay L.. (1982). Probability and statistics for engineering and the science / Jay L. Devore. 1982(1982). 1–99.1 indexed citations
Devore, Jay L.. (1973). Reconstructing a Noisy Markov Chain. Journal of the American Statistical Association. 68(342). 394–398.3 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.