Thomas E. Armstrong

447 citations
32 papers · 316 · h-index 11

Impact in

Papers in

Thomas E. Armstrong

31 papers receiving 279 citations

Peers

Thomas E. Armstrong
Comparison fields: 5 of 34
  • Mathematical Physics 115
  • Algebra and Number Theory 55
  • Geometry and Topology 86
  • General Decision Sciences 16
  • Management Science and Operations Research 66
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Jiling Cao New Zealand
Gerhard Herden Germany
Gyula Maksa Hungary
Ghanshyam B. Mehta Australia
Kenneth R. Mount United States
Kong‐Ming Chong Malaysia
Ignacy I. Kotlarski United States
Jean -Michel Bismut France
Mykhailo Zarichnyi Ukraine
Christian Hess France
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Citations per field
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Citations per year

Countries citing papers authored by Thomas E. Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Armstrong. 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 Thomas E. Armstrong. The network helps show where Thomas E. Armstrong may publish in the future.

Co-authors

The 3 scholars most cited alongside Thomas E. Armstrong, 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 Thomas E. Armstrong Line = papers co-authored together Thomas E. Armstrong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198037
2 198434
3 198224
4 198123
5 197923
6 198121
7 198521
8 198220
9 197713
10 198912
11 198611
12 19809
13 19909
14 19788
15 19838
16 19896
17 19815
18 19815
19 19824
20 19883

About Thomas E. Armstrong

Thomas E. Armstrong is a scholar working on Mathematical Physics, Geometry and Topology, Computational Theory and Mathematics, Economics and Econometrics and Algebra and Number Theory, having authored 32 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (9 papers), Economic theories and models (7 papers), Advanced Operator Algebra Research (6 papers), Rings, Modules, and Algebras (4 papers), Mathematical and Theoretical Analysis (4 papers), Game Theory and Voting Systems (4 papers), Advanced Banach Space Theory (4 papers) and Game Theory and Applications (3 papers). The work is most often cited by research in Mathematical Physics (115 citations), Algebra and Number Theory (55 citations), Geometry and Topology (86 citations), General Decision Sciences (16 citations) and Management Science and Operations Research (66 citations). Thomas E. Armstrong has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Karel Prikry, Marcel K. Richter and William D. Sudderth. Their work appears in journals such as Proceedings of the American Mathematical Society, Pacific Journal of Mathematics, Transactions of the American Mathematical Society, Journal of Mathematical Analysis and Applications and Illinois Journal of Mathematics.

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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