Phillip Kent

1.3k citations
39 papers · 604 indexed · h-index 15

Impact in

Papers in

Phillip Kent

38 papers receiving 517 citations

Peers

Phillip Kent
Comparison fields: 5 of 86
  • Human Factors and Ergonomics 64
  • Modeling and Simulation 102
  • Statistics and Probability 119
  • Architecture 18
  • Education 332
Replace Johann Engelbrecht with:
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Phillip Kent relative to Johann Engelbrecht South Africa Johann Engelbrecht's profile →
Citations per field
00.5×4.9×
Johann Engelbrecht · 1×
Citations per year

Countries citing papers authored by Phillip Kent

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Kent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Phillip Kent, 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 Phillip Kent Line = papers co-authored together Phillip Kent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201214
2 201111
3 201111
4 201117
5 201063
6
TEACHING UNCERTAINTY AND RISK IN MATHEMATICS AND SCIENCE
20104
7
Using technology-enhanced boundary objects to develop techno-mathematical literacies in manufacturing industry
20081
8 200828
9 20074
10
"It's not just magic!" Learning opportunities with spreadsheets in the financial sector
20064
11 200512
12
STATISTICAL REASONING IN THE WORKPLACE: TECHNO-MATHEMATICAL LITERACIES AND LEARNING OPPORTUNITIES
20051
13 200451
14
Techno-mathematical literacies in the workplace: improving workplace processes by making the invisible visible
20044
15
Techno-mathematical literacies in workplace activity
20046
16 200316
17
The Mathematical Components of Engineering Expertise: End of Award Report
20021
18 20023
19
The mathematical components of engineering expertise: End of award report for the Economic and Social Research Council
20021
20
Experiments in Undergraduate Mathematics: A Mathematica-Based Approach
19962

About Phillip Kent

Phillip Kent is a scholar working on Human Factors and Ergonomics, Modeling and Simulation, General Psychology, Computer Science Applications and Media Technology, having authored 39 papers that have together received 604 indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (9 papers), Mathematics Education and Programs (8 papers), Mathematics Education and Teaching Techniques (6 papers), Innovative Education and Learning Practices (5 papers), Experimental Learning in Engineering (4 papers), Statistics Education and Methodologies (4 papers), Open Education and E-Learning (4 papers) and Design Education and Practice (4 papers). The work is most often cited by research in Human Factors and Ergonomics (64 citations), Modeling and Simulation (102 citations), Statistics and Probability (119 citations), Architecture (18 citations) and Education (332 citations). Phillip Kent has collaborated with scholars based in United Kingdom, Mexico and Netherlands. Frequent co-authors include Celia Hoyles, Arthur Bakker, Richard Noss, Richard Noss, Alison Wolf, Susan Molyneux‐Hodgson, Ramesh Kapadia, Ralph Levinson, David Pratt and David Guile. Their work appears in journals such as Mind Culture and Activity, Nonlinearity, ZDM, Mathematical Thinking and Learning and Educational Studies in Mathematics.

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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