Ralph Kopperman

59 papers receiving 1.1k citations

Peers

Ralph Kopperman
Comparison fields: 5 of 55
  • Geometry and Topology 439
  • Computational Theory and Mathematics 559
  • Management Science and Operations Research 372
  • Computer Vision and Pattern Recognition 571
  • Algebra and Number Theory 110
Replace S. A. Naimpally with:
S. A. Naimpally Canada
Czesław Byliński Poland
N. Sauer Canada
Michel Schellekens Ireland
Robert E. Jamison United States
Michel Las Vergnas France
Salvador Romaguera Spain
J. Arthur Seebach United States
Vladimir Pestov Canada
Manor Mendel Israel
Ralph Kopperman relative to S. A. Naimpally Canada S. A. Naimpally's profile →
Citations per field
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S. A. Naimpally · 1×
Citations per year

Countries citing papers authored by Ralph Kopperman

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Kopperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990267
2 1991119
3 2009106
4 199173
5 199552
6 199750
7 198943
8 199141
9 198840
10 199433
11 199631
12 200428
13 198825
14 199121
15 200418
16 199718
17 196718
18 200517
19 198212
20 201112

About Ralph Kopperman

Ralph Kopperman is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Mathematical Physics, Algebra and Number Theory and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (18 papers), Advanced Algebra and Logic (17 papers), Digital Image Processing Techniques (14 papers), Rings, Modules, and Algebras (12 papers), Fuzzy and Soft Set Theory (12 papers), Advanced Topics in Algebra (10 papers), Medical Image Segmentation Techniques (8 papers) and Homotopy and Cohomology in Algebraic Topology (8 papers). The work is most often cited by research in Geometry and Topology (439 citations), Computational Theory and Mathematics (559 citations), Management Science and Operations Research (372 citations), Computer Vision and Pattern Recognition (571 citations) and Algebra and Number Theory (110 citations). Ralph Kopperman has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Paul R. Meyer, E. Khalimsky, T. Yung Kong, Homeira Pajoohesh, Steve Matthews, Michael A. Bukatin, Richard G. Wilson, Vladimir Kovalevsky, Y. Mukhin and Krzysztof Ciesielski. Their work appears in journals such as Journal of Symbolic Logic, Annals of the New York Academy of Sciences, Proceedings of the American Mathematical Society, Topology and its Applications and Journal of Mathematical Imaging and Vision.

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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