Peter Samuels

505 citations
26 papers · 310 · h-index 8

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 3
    • Education Systems and Policy 3
    • Online and Blended Learning 2
    • Mathematics Education and Programs 8

Peter Samuels

20 papers receiving 289 citations

Peers

Peter Samuels
Comparison fields: 5 of 94
  • Computer Science Applications 48
  • Modeling and Simulation 31
  • Developmental and Educational Psychology 50
  • Education 100
  • Media Technology 24
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Citations per year

Countries citing papers authored by Peter Samuels

Since Specialization
Citations

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

Fields of papers citing papers by Peter Samuels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Peter Samuels, 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 Peter Samuels Line = papers co-authored together Peter Samuels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016141
2 199737
3 201132
4 201120
5 201312
6 201111
7 20119
8
Motivating Mathematics Learning through an Integrated Technology Enhanced Learning Environment
20107
9 20107
10
Advice on Reliability Analysis with Small Samples - Revised Version
20175
11
Automating content generation for large-scale virtual learning environments using semantic web services
20104
12 20084
13 20123
14 20063
15 20113
16 20073
17 20092
18 20172
19 20071
20 20061

About Peter Samuels

Peter Samuels is a scholar working on Education, Modeling and Simulation, Developmental and Educational Psychology, Computer Science Applications and Information Systems, having authored 26 papers that have together received 310 indexed citations. Recurring topics across this work include Mathematics Education and Programs (8 papers), Teaching and Learning Programming (4 papers), Innovative Teaching and Learning Methods (3 papers), Mathematics Education and Teaching Techniques (3 papers), Education Systems and Policy (3 papers), Mobile Learning in Education (3 papers), Online and Blended Learning (2 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Computer Science Applications (48 citations), Modeling and Simulation (31 citations), Developmental and Educational Psychology (50 citations), Education (100 citations) and Media Technology (24 citations). Peter Samuels has collaborated with scholars based in United Kingdom, Finland and Italy. Frequent co-authors include Duncan Lawson, Yvette Solomon, Mollie Gilchrist, Gareth Williams, Chris Sangwin, Panagiotis Petridis, Aristidis Protopsaltis, Sara de Freitas, David Panzoli and Ian Dunwell. Their work appears in journals such as Computers & Education, Learning Media and Technology, Cultural Studies of Science Education, International Journal of Mathematical Education in Science and Technology and International Journal for Technology in Mathematics Education.

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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