Daniel S. Kahn

479 citations
16 papers · 267 indexed · h-index 8

Daniel S. Kahn

15 papers receiving 164 citations

Peers

Daniel S. Kahn
Comparison fields: 5 of 42
  • Algebra and Number Theory 110
  • Mathematical Physics 213
  • Geometry and Topology 166
  • Discrete Mathematics and Combinatorics 17
  • Theoretical Computer Science 4
Replace Thomas J. Lada with:
Thomas J. Lada United States
E. E. Floyd United States
David L. Rector United States
Alberto Collino Italy
Grant Walker United Kingdom
Toshitsune Miyake Japan
S. Raghavan India
Stanley O. Kochman Canada
Vlad Sergiescu France
A. Zabrodsky Israel
Daniel S. Kahn relative to Thomas J. Lada United States Thomas J. Lada's profile →
Citations per field
00.5×1.5×
Thomas J. Lada · 1×
Citations per year

Countries citing papers authored by Daniel S. Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Kahn. 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 Daniel S. Kahn. The network helps show where Daniel S. Kahn may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Daniel S. Kahn, 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 Daniel S. Kahn Line = papers co-authored together Daniel S. Kahn links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20154
2 197818
3 197811
4 19781
5 197854
6 19788
7 19787
8 197733
9 197293
10 197012
11 19693
12 19693
13 19693
14 19690
15 19655
16 196512

About Daniel S. Kahn

Daniel S. Kahn is a scholar working on Mathematical Physics, Algebra and Number Theory, Geometry and Topology, Theoretical Computer Science and Discrete Mathematics and Combinatorics, having authored 16 papers that have together received 267 indexed citations. Recurring topics across this work include Homotopy and Cohomology in Algebraic Topology (7 papers), Advanced Topics in Algebra (5 papers), Advanced Algebra and Geometry (4 papers), Algebraic structures and combinatorial models (3 papers), Algebraic Geometry and Number Theory (2 papers), Graph theory and applications (1 paper), Mathematics and Applications (1 paper) and Advanced Topology and Set Theory (1 paper). The work is most often cited by research in Algebra and Number Theory (110 citations), Mathematical Physics (213 citations), Geometry and Topology (166 citations), Discrete Mathematics and Combinatorics (17 citations) and Theoretical Computer Science (4 citations). Daniel S. Kahn has collaborated with scholars based in United States. Frequent co-authors include Stewart Priddy, Leonard Evens, Jerome Kaminker, Claude Schochet, Eldon Dyer, Saurabh P. Mehta and Franklin D. Shuler. Their work appears in journals such as Transactions of the American Mathematical Society, Proceedings of the American Mathematical Society, Mathematical Proceedings of the Cambridge Philosophical Society, Topology and Bulletin of the American Mathematical Society.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026