John Selden

2.0k citations
49 papers · 833 · h-index 12

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 17
    • Educational Assessment and Pedagogy 4
    • Statistics Education and Methodologies 4
    • Cognitive and developmental aspects of mathematical skills 4

John Selden

39 papers receiving 699 citations

Peers

John Selden
Comparison fields: 5 of 78
  • Theoretical Computer Science 101
  • Statistics and Probability 320
  • Education 561
  • Applied Mathematics 89
  • Computer Science Applications 46
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Citations per year

Countries citing papers authored by John Selden

Since Specialization
Citations

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

Fields of papers citing papers by John Selden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003238
2 1995167
3 201597
4 201244
5 198734
6 196932
7 197224
8 201021
9 200520
10 201719
11
DO CALCULUS STUDENTS EVENTUALLY LEARN TO SOLVE NON-ROUTINE PROBLEMS
199915
12 201312
13
Of the Dominion, Or, Ownership of the Sea
200411
14 20068
15
Mare liberum, sive, De iure quod Batavis competit ad Indicana Commercia dissertatio . Mare clausum, seu, De dominio maris libri duo
19787
16 19647
17 19937
18 19697
19
THE ROLE OF LOGIC IN THE VALIDATION OF MATHEMATICAL PROOFS
19996
20 20136

About John Selden

John Selden is a scholar working on Education, Statistics and Probability, Computational Theory and Mathematics, Theoretical Computer Science and Modeling and Simulation, having authored 49 papers that have together received 833 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (17 papers), History and Theory of Mathematics (6 papers), Mathematics Education and Programs (6 papers), Educational Assessment and Pedagogy (4 papers), Statistics Education and Methodologies (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), semigroups and automata theory (4 papers) and Fuzzy and Soft Set Theory (4 papers). The work is most often cited by research in Theoretical Computer Science (101 citations), Statistics and Probability (320 citations), Education (561 citations), Applied Mathematics (89 citations) and Computer Science Applications (46 citations). John Selden has collaborated with scholars based in United States and Russia. Frequent co-authors include Annie Selden, Carl Eberhart, Clio Andris, David Lee, Mauro Martino, Marcus J. Hamilton, Christian E. Gunning, Mary Shepherd, Shandy Hauk and Hugo Grotius. Their work appears in journals such as Transactions of the American Mathematical Society, Proceedings of the American Mathematical Society, Mathematical Thinking and Learning, Journal for Research in Mathematics Education and PLoS ONE.

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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