Sheldon P. Gordon

50 papers receiving 216 citations

Peers

Sheldon P. Gordon
Comparison fields: 5 of 73
  • Statistics and Probability 121
  • Theoretical Computer Science 12
  • Modeling and Simulation 25
  • Numerical Analysis 22
  • Education 114
Replace G. S. Monk with:
G. S. Monk United States
John Hannah New Zealand
James T. Sandefur United States
Sergei Abramovich United States
Bernard Madison United States
David Wheeler Thailand
Carl W. Lee United States
Duane W. DeTemple United States
Arcadii Z. Grinshpan United States
Martin Alexander Youngson United Kingdom
Sheldon P. Gordon relative to G. S. Monk United States G. S. Monk's profile →
Citations per field
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G. S. Monk · 1×
Citations per year

Countries citing papers authored by Sheldon P. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon P. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheldon P. Gordon. 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 Sheldon P. Gordon. The network helps show where Sheldon P. Gordon may publish in the future.

Co-authors

The 12 scholars most cited alongside Sheldon P. Gordon, 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 Sheldon P. Gordon Line = papers co-authored together Sheldon P. Gordon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistics for the Twenty-First Century
199285
2 200828
3 200618
4
Contemporary Statistics: A Computer Approach
199314
5 197213
6
Computer graphics simulations of sampling distributions
19898
7
Discovering the Chain Rule Graphically.
20058
8
Functioning in the Real World: A Precalculus Experience
19968
9
Mathematics for the New Millennium.
20047
10 19937
11 20096
12 20185
13 19725
14 19715
15 19794
16
Applications of Monte Carlo Methods in Calculus.
19904
17 20154
18 19994
19 19793
20 19923

About Sheldon P. Gordon

Sheldon P. Gordon is a scholar working on Statistics and Probability, Numerical Analysis, Education, Computational Theory and Mathematics and Applied Mathematics, having authored 68 papers that have together received 288 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (9 papers), Mathematics Education and Teaching Techniques (7 papers), History and Theory of Mathematics (6 papers), Iterative Methods for Nonlinear Equations (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Nonlinear Differential Equations Analysis (4 papers), Advanced Mathematical Theories (3 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Statistics and Probability (121 citations), Theoretical Computer Science (12 citations), Modeling and Simulation (25 citations), Numerical Analysis (22 citations) and Education (114 citations). Sheldon P. Gordon has collaborated with scholars based in United States, Canada and Jamaica. Frequent co-authors include Yajun Yang, Bernard Madison, Lynn Arthur Steen, Janet Andersen, Steven R. Dunbar, Zalman Usiskin, Scott R. Herriott, William H. Barker, Allan J. Rossman and Rebecca Walker. Their work appears in journals such as PRIMUS, Theory of Computing Systems, International Journal of Mathematical Education in Science and Technology, American Mathematical Monthly and College Mathematics Journal.

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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