Eugene G. Johnson

981 citations
34 papers · 711 indexed · h-index 15
Topics
Psychometric Methodologies and Testing (13 papers)Statistical Methods and Bayesian Inference (5 papers)Advanced Statistical Methods and Models (4 papers)
Partner nations
United StatesTaiwan

In The Last Decade

Eugene G. Johnson

33 papers receiving 565 citations

Peers

Eugene G. Johnson
Comparison fields: 5 of 97
  • Education 310
  • Management Science and Operations Research 303
  • Statistics and Probability 203
  • Developmental and Educational Psychology 76
  • Computer Networks and Communications 66
Replace H. D. Hoover with:
H. D. Hoover United States
Daniel R. Eignor United States
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Eugene G. Johnson relative to H. D. Hoover United States H. D. Hoover's profile →
Citations per field
00.5×
H. D. Hoover · 1×
Citations per year

Countries citing papers authored by Eugene G. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Eugene G. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene G. Johnson. 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 Eugene G. Johnson. The network helps show where Eugene G. Johnson may publish in the future.

Co-authorship network of co-authors of Eugene G. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene G. Johnson. A scholar is included among the top collaborators of Eugene G. Johnson 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 Eugene G. Johnson. Eugene G. Johnson 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
#WorkIndexed citations
1
2000 NAEP--1999, TIMSS Linking Report. Working Paper Series. NCES 2005-01.
6
2 22
3
NAEP Reconfigured: An Integrated Redesign of the National Assessment of Educational Progress. Working Paper Series.
1
4 14
5 1
6 93
7
Technical Report of the NAEP 1992 Trial State Assessment Program in Mathematics.
10
8 1
9 26
10 1
11 45
12 25
13
The NAEP 1990 Technical Report.
26
14 15
15 2
16 14
17 1
18 12
19 14
20 18

About Eugene G. Johnson

Eugene G. Johnson is a scholar working on Management Science and Operations Research, Statistics and Probability and Family Practice, having authored 34 papers that have together received 711 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (13 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Statistics and Probability (203 citations), Management Science and Operations Research (303 citations) and Education (310 citations). Eugene G. Johnson has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Robert J. Mislevy, Eiji Muraki, Robert L. Brennan, Keith Rust, Albert E. Beaton, William H. Angoff, Benjamin F. King, Michelle Liou, Philip E. Cheng and Robert C. Strunk. Their work appears in journals such as The Journal of Pediatrics, Applied Psychological Measurement and Journal of Educational Measurement.

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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