John Dauns

1.1k citations
53 papers · 737 indexed · h-index 17

John Dauns

50 papers receiving 428 citations

Peers

John Dauns
Comparison fields: 5 of 45
  • Algebra and Number Theory 496
  • Geometry and Topology 329
  • Mathematical Physics 206
  • Computational Theory and Mathematics 202
  • Applied Mathematics 96
Replace W. E. Longstaff with:
W. E. Longstaff Australia
Bertram Yood United States
Paul Milnes Canada
S. J. Bernau United States
Christian U. Jensen Denmark
W. Wickless United States
Jiang Luh United States
Martin Arkowitz United States
Roger Wiegand United States
Horst Leptin Germany
John Dauns relative to W. E. Longstaff Australia W. E. Longstaff's profile →
Citations per field
00.5×1.5×
W. E. Longstaff · 1×
Citations per year

Countries citing papers authored by John Dauns

Since Specialization
Citations

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

Fields of papers citing papers by John Dauns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside John Dauns, 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 Dauns Line = papers co-authored together John Dauns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200414
2 20011
3 20001
4 19995
5 199710
6 199710
7 199426
8 19942
9 19895
10 19892
11 198822
12 19823
13 19792
14 19782
15 19761
16 19723
17 19722
18 196919
19 196947
20 196530

About John Dauns

John Dauns is a scholar working on Algebra and Number Theory, Geometry and Topology, Computational Theory and Mathematics, Mathematical Physics and Applied Mathematics, having authored 53 papers that have together received 737 indexed citations. Recurring topics across this work include Rings, Modules, and Algebras (37 papers), Advanced Topics in Algebra (22 papers), Algebraic structures and combinatorial models (12 papers), Commutative Algebra and Its Applications (10 papers), Advanced Algebra and Logic (10 papers), Advanced Operator Algebra Research (4 papers), Mathematical Analysis and Transform Methods (3 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Algebra and Number Theory (496 citations), Geometry and Topology (329 citations), Mathematical Physics (206 citations), Computational Theory and Mathematics (202 citations) and Applied Mathematics (96 citations). John Dauns has collaborated with scholars based in United States and Canada. Frequent co-authors include Karl H. Hofmann, Paul Conrad, L. Fuchs, D. V. Widder, Yiqiang Zhou and Ulrich Albrecht. Their work appears in journals such as Pacific Journal of Mathematics, Transactions of the American Mathematical Society, Journal of Algebra, Journal für die reine und angewandte Mathematik (Crelles Journal) and Mathematische Zeitschrift.

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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