Ralph Kopperman

65 papers receiving 1.3k citations

Peers

Ralph Kopperman
Comparison fields: 5 of 56
  • Geometry and Topology 500
  • Computational Theory and Mathematics 673
  • Computer Vision and Pattern Recognition 759
  • Management Science and Operations Research 401
  • Algebra and Number Theory 144
Replace S. A. Naimpally with:
S. A. Naimpally Canada
Michel Coste France
Czesław Byliński Poland
Michael Smyth United Kingdom
Manor Mendel Israel
Alain Pajor France
Osman Güler United States
Y. Gordon Israel
Wojciech Banaszczyk Poland
Salvador Romaguera Spain
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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990342
2 1991145
3 2009112
4 199189
5 198965
6 199560
7 199757
8 199147
9 198846
10 199642
11 199435
12 200429
13 198829
14 199125
15 199422
16 199721
17 200420
18 196718
19 200517
20 199415

About Ralph Kopperman

Ralph Kopperman is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Computer Vision and Pattern Recognition, Mathematical Physics and Algebra and Number Theory, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (18 papers), Digital Image Processing Techniques (17 papers), Advanced Algebra and Logic (17 papers), Rings, Modules, and Algebras (12 papers), Fuzzy and Soft Set Theory (12 papers), Medical Image Segmentation Techniques (11 papers), Advanced Topics in Algebra (10 papers) and Homotopy and Cohomology in Algebraic Topology (8 papers). The work is most often cited by research in Geometry and Topology (500 citations), Computational Theory and Mathematics (673 citations), Computer Vision and Pattern Recognition (759 citations), Management Science and Operations Research (401 citations) and Algebra and Number Theory (144 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, Richard G. Wilson, Michael A. Bukatin, Vladimir Kovalevsky, Y. Mukhin and Krzysztof Ciesielski. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Symbolic Logic, 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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