Ralph D. Kopperman

1.9k citations
64 papers · 1.4k · h-index 17

Impact in

Papers in

Ralph D. Kopperman

63 papers receiving 1.3k citations

Peers

Ralph D. Kopperman
Comparison fields: 5 of 42
  • Geometry and Topology 743
  • Computational Theory and Mathematics 375
  • Computer Vision and Pattern Recognition 505
  • Mathematical Physics 151
  • Discrete Mathematics and Combinatorics 45
Replace Lajos Hajdu with:
Lajos Hajdu Hungary
Laurence Boxer United States
Vácłav Koubek Czechia
Robert Cori France
Valentı́n Gregori Spain
Martin Loebl Czechia
Ivo G. Rosenberg Canada
Robert A. Melter United States
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Citations per field
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Citations per year

Countries citing papers authored by Ralph D. Kopperman

Since Specialization
Citations

This map shows the geographic impact of Ralph D. 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 D. 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 D. Kopperman more than expected).

Fields of papers citing papers by Ralph D. Kopperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990339
2 1991168
3 2009116
4 199183
5 198862
6 198962
7 199759
8 199558
9 199643
10 199435
11 200430
12 199124
13 199421
14 199720
15 200420
16 196717
17 200517
18 199415
19 199914
20 198213

About Ralph D. Kopperman

Ralph D. Kopperman is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition and Discrete Mathematics and Combinatorics, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (41 papers), Advanced Algebra and Logic (15 papers), Advanced Banach Space Theory (11 papers), Digital Image Processing Techniques (10 papers), Fixed Point Theorems Analysis (7 papers), Computability, Logic, AI Algorithms (6 papers), Logic, programming, and type systems (5 papers) and Advanced Operator Algebra Research (4 papers). The work is most often cited by research in Geometry and Topology (743 citations), Computational Theory and Mathematics (375 citations), Computer Vision and Pattern Recognition (505 citations), Mathematical Physics (151 citations) and Discrete Mathematics and Combinatorics (45 citations). Ralph D. Kopperman has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Paul R. Meyer, Efim Khalimsky, T. Yung Kong, Homeira Pajoohesh, Michael A. Bukatin, Richard G. Wilson, Vladimir Kovalevsky, Y. Mukhin, Krzysztof Ciesielski and Hans-Peter A. Künzi. 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 Theoretical Computer Science.

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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