Geoff Smith

861 citations
36 papers · 585 · h-index 13

Impact in

    • Mathematics Education and Programs
  • Education top 5%
    • Mathematics Education and Teaching Techniques
    • Evaluation of Teaching Practices
    • Educational Assessment and Pedagogy

Papers in

    • Cardiovascular Function and Risk Factors 5
    • Cardiac Valve Diseases and Treatments 4
    • Cardiovascular Health and Disease Prevention 3
    • Mathematics Education and Teaching Techniques 7
    • Evaluation of Teaching Practices 5

Geoff Smith

33 papers receiving 522 citations

Peers

Geoff Smith
Comparison fields: 5 of 92
  • Modeling and Simulation 63
  • Education 215
  • Cardiology and Cardiovascular Medicine 146
  • Statistics and Probability 48
  • Media Technology 41
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Citations per field
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Citations per year

Countries citing papers authored by Geoff Smith

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Geoff Smith, 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 Geoff Smith Line = papers co-authored together Geoff Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198395
2 199688
3 200442
4 200539
5 200735
6 199432
7 200730
8 199730
9 200025
10 201124
11 200422
12 200520
13 199815
14 199312
15 198510
16 20109
17 20076
18
Staying the Course.
19936
19
Mathematics students' conceptions of mathematics
20035
20 19995

About Geoff Smith

Geoff Smith is a scholar working on Cardiology and Cardiovascular Medicine, Education, Surgery, Information Systems and Political Science and International Relations, having authored 36 papers that have together received 585 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (7 papers), Cardiovascular Function and Risk Factors (5 papers), Evaluation of Teaching Practices (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Mathematics Education and Programs (3 papers), Library Collection Development and Digital Resources (3 papers), Statistics Education and Methodologies (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Education (215 citations), Cardiology and Cardiovascular Medicine (146 citations), Statistics and Probability (48 citations) and Media Technology (41 citations). Geoff Smith has collaborated with scholars based in United Kingdom, Australia and Norway. Frequent co-authors include Leigh Wood, Peter Petocz, Anna Reid, Kathryn Crawford, Geoff D.C. Ball, O Stokland, Eva Gerdts, Vittorio Palmieri, Kristian Wachtell and Markku S. Nieminen. Their work appears in journals such as International Journal of Science and Mathematics Education, Journal of Human Hypertension, Heart, IFLA Journal and British Journal of Music 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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