David J. Woodruff

811 total citations
19 papers, 612 citations indexed

About

David J. Woodruff is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, David J. Woodruff has authored 19 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 7 papers in Statistics and Probability and 3 papers in Computer Networks and Communications. Recurrent topics in David J. Woodruff's work include Advanced Statistical Methods and Models (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Advanced Statistical Modeling Techniques (3 papers). David J. Woodruff is often cited by papers focused on Advanced Statistical Methods and Models (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Advanced Statistical Modeling Techniques (3 papers). David J. Woodruff collaborates with scholars based in United States. David J. Woodruff's co-authors include Leonard S. Feldt, Bradley A. Hanson, Richard Sawyer, David M. Rocke, Yi-Fang Wu and Yu Fang and has published in prestigious journals such as Technometrics, Thorax and Psychometrika.

In The Last Decade

David J. Woodruff

19 papers receiving 532 citations

Peers

David J. Woodruff
Comparison fields: 5 of 131
  • Management Science and Operations Research 132
  • Statistics and Probability 121
  • Clinical Psychology 97
  • Education 78
  • Social Psychology 71
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Citations per field, relative to David J. Woodruff
David J. Woodruff · 1×
Citations per year, relative to David J. Woodruff
David J. Woodruff · 1×

Countries citing papers authored by David J. Woodruff

Since Specialization
Citations

This map shows the geographic impact of David J. Woodruff'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 David J. Woodruff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Woodruff more than expected).

Fields of papers citing papers by David J. Woodruff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Woodruff. 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 David J. Woodruff. The network helps show where David J. Woodruff may publish in the future.

Co-authorship network of co-authors of David J. Woodruff

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Woodruff. A scholar is included among the top collaborators of David J. Woodruff 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 David J. Woodruff. David J. Woodruff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1
A Comparison of Four Linear Equating Methods for the Common-Item Nonequivalent Groups Design Using Simulation Methods
2
2
Statistical Considerations in Choosing a Test Reliability Coefficient
5
3
?Differential Grading Standards among High Schools. ACT Research Report Series, 2004-02.
4
4
High School Grade Inflation from 1991 to 2003. Research Report Series 2004-04.
12
5
High School Grade Inflation from 1991 to 2003
20
6
Relationships between EPAS Scores and College Preparatory Course Work in High School. ACT Research Report Series.
3
7
Discussion of `Multivariate Outlier Detection and Robust Covariance Matrix Estimation
3
8
Empirical Bayes Estimates of Parameters from the Logistic Regression Model. ACT Research Report Series 97-6.
3
9
Empirical Bayes Estimates of Parameters from the Logistic Regression Model
10
10
Estimation of Item Response Models Using the EM Algorithm for Finite Mixtures.
13
11 3
12 12
13 5
14 6
15 410
16 14
17 39
18 7
19 41

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.

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