Stephen Humphry

658 citations
33 papers · 420 indexed · h-index 12
Topics
Student Assessment and Feedback (10 papers)Psychometric Methodologies and Testing (9 papers)Advanced Statistical Modeling Techniques (5 papers)

In The Last Decade

Stephen Humphry

32 papers receiving 384 citations

Peers

Stephen Humphry
Comparison fields: 5 of 96
  • Education 182
  • Management Science and Operations Research 90
  • Developmental and Educational Psychology 69
  • Experimental and Cognitive Psychology 55
  • Computer Networks and Communications 34
Replace David Torres Irribarra with:
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Stuart Shaw United Kingdom
Gary Skaggs United States
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Andrew Kyngdon Australia
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Humphry

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Humphry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Humphry

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Humphry. A scholar is included among the top collaborators of Stephen Humphry 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 Stephen Humphry. Stephen Humphry 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 3
2 0
3 1
4 5
5 3
6 3
7 5
8 2
9 20
10 7
11 31
12 12
13 7
14
Item set discrimination and the unit in the Rasch model.
2
15 36
16 1
17 9
18 14
19
Learning from Teacher Education: The Impact of Teacher Education on Knowledge of Literacy and Mathematics Teaching
3
20
Understanding the unit in the Rasch model.
16

About Stephen Humphry

Stephen Humphry is a scholar working on General Psychology, Management Science and Operations Research and Education, having authored 33 papers that have together received 420 indexed citations. Recurring topics across this work include Student Assessment and Feedback (10 papers), Psychometric Methodologies and Testing (9 papers) and Advanced Statistical Modeling Techniques (5 papers). The work is most often cited by research in General Psychology (18 citations), Management Science and Operations Research (90 citations) and Education (182 citations). Stephen Humphry has collaborated with scholars based in Australia, United States and Iran. Frequent co-authors include David Andrich, Ida Marais, Joshua A. McGrane, G.R.J. Cooper, J. Bryan Carmody, Steven J. Howard, Hana Burianová, John Ehrich, Emma Barkus and Lisa Kervin. Their work appears in journals such as Neuroscience, Behavioral and Brain Sciences and Frontiers in Psychology.

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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