Jonathan Jordan

36 papers receiving 209 citations

Peers

Jonathan Jordan
Comparison fields: 5 of 55
  • Mathematical Physics 84
  • Discrete Mathematics and Combinatorics 29
  • Statistical and Nonlinear Physics 109
  • Algebra and Number Theory 39
  • Theoretical Computer Science 9
Replace Alf van der Poorten with:
Alf van der Poorten Australia
Karma Dajani Netherlands
Harvey B. Keynes United States
Dennis Pixton United States
Calvin T. Long United States
Nikita Sidorov United Kingdom
Joseph Auslander United States
Viorel Niţică United States
Andreas Schief Germany
Steven Kalikow United States
Jonathan Jordan relative to Alf van der Poorten Australia Alf van der Poorten's profile →
Citations per field
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Alf van der Poorten · 1×
Citations per year

Countries citing papers authored by Jonathan Jordan

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Jordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jonathan Jordan, 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 Jonathan Jordan Line = papers co-authored together Jonathan Jordan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196522
2 200518
3 197914
4 196513
5 196712
6 200412
7 201011
8 196510
9 20138
10 20107
11 19647
12 20137
13 20116
14 20156
15 19765
16 20025
17 19675
18 20155
19 20025
20 19705

About Jonathan Jordan

Jonathan Jordan is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Geometry and Topology, Condensed Matter Physics and Management Science and Operations Research, having authored 40 papers that have together received 227 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Stochastic processes and statistical mechanics (11 papers), Theoretical and Computational Physics (7 papers), Mathematics and Applications (4 papers), Game Theory and Applications (4 papers), Analytic Number Theory Research (4 papers), Graph theory and applications (4 papers) and History and Theory of Mathematics (3 papers). The work is most often cited by research in Mathematical Physics (84 citations), Discrete Mathematics and Combinatorics (29 citations), Statistical and Nonlinear Physics (109 citations), Algebra and Number Theory (39 citations) and Theoretical Computer Science (9 citations). Jonathan Jordan has collaborated with scholars based in United Kingdom, United States and Peru. Frequent co-authors include Ben Hambly, Calvin T. Long, Andrew R. Wade, C. Cannings, Netta Cohen, Margaritis Voliotis, David Jordan, Paul Blackwell, Richard Southwell and Marcelo Fernandes Costa. Their work appears in journals such as Advances in Applied Probability, Electronic Journal of Probability, Mathematics of Computation, Proceedings of the Edinburgh Mathematical Society and Random Structures and Algorithms.

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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