John Schmid

1.4k citations
18 papers · 1.1k · 1 hit paper · h-index 7

Impact in

Papers in

John Schmid

15 papers receiving 919 citations

John Schmid's Hit Papers

The Development of Hierarchical Factor Solutions 1957 · 877 citations
8770+23+46Years since publication250500750

Peers

John Schmid
Comparison fields: 5 of 120
  • Experimental and Cognitive Psychology 458
  • Management Science and Operations Research 235
  • Statistics and Probability 125
  • Developmental and Educational Psychology 191
  • Applied Psychology 62
Replace Susan E. Whitely with:
Susan E. Whitely United States
T. Anne Cleary United States
Robert J. Wherry United States
Elizabeth P. Hagen United States
Ross E. Traub Canada
William H. Angoff United States
Michele F. Zimowski United States
Richard G. Montanelli United States
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John Schmid relative to Susan E. Whitely United States Susan E. Whitely's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Schmid

Since Specialization
Citations

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

Fields of papers citing papers by John Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Schmid. 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 John Schmid. The network helps show where John Schmid may publish in the future.

Co-authors

The 3 scholars most cited alongside John Schmid, 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 John Schmid Line = papers co-authored together John Schmid links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
The Development of Hierarchical Factor Solutions
Hit paper breakdown →
1957877
2 195374
3 196135
4 197028
5 195215
6 195810
7 19577
8 19665
9 19554
10 19853
11 19772
12 19522
13
Utility Theory and Optimization in Military Personnel Management.
19751
14 19601
15 19551
16 19541
17 19571
18 19511

About John Schmid

John Schmid is a scholar working on Education, Statistics and Probability, Cognitive Neuroscience, Literature and Literary Theory and General Agricultural and Biological Sciences, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Writing and Handwriting Education (1 paper), Discourse Analysis in Language Studies (1 paper), Software Testing and Debugging Techniques (1 paper), Software Reliability and Analysis Research (1 paper), Risk and Safety Analysis (1 paper), Neuroscience, Education and Cognitive Function (1 paper), Mechanical Engineering and Vibrations Research (1 paper) and Teacher Education and Leadership Studies (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (458 citations), Management Science and Operations Research (235 citations), Statistics and Probability (125 citations), Developmental and Educational Psychology (191 citations) and Applied Psychology (62 citations). John Schmid has collaborated with scholars based in United States. Frequent co-authors include Paul L. Dressel, A. S. Barr and D. A. Worcester. Their work appears in journals such as The Journal of Experimental Education, The Journal of Educational Research, Educational and Psychological Measurement, Journal of Clinical Psychology and Psychometrika.

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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