Matthew Daws

598 citations
26 papers · 191 · h-index 8

Impact in

Papers in

Matthew Daws

24 papers receiving 175 citations

Peers

Matthew Daws
Comparison fields: 5 of 8
  • Algebra and Number Theory 149
  • Mathematical Physics 187
  • Geometry and Topology 94
  • Applied Mathematics 28
  • Statistical and Nonlinear Physics 19
Replace Chi–Keung Ng with:
Chi–Keung Ng China
Rufus Willett United States
Roland Vergnioux France
Ilan Hirshberg Israel
Mehrdad Kalantar United States
Matthew Kennedy Canada
Adrian Ioana United States
Mohammed E. B. Bekka Germany
Cyril Houdayer France
Xinhui Jiang Canada
Matthew Daws relative to Chi–Keung Ng China Chi–Keung Ng's profile →
Citations per field
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Chi–Keung Ng · 1×
Citations per year

Countries citing papers authored by Matthew Daws

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Daws

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Matthew Daws, 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 Matthew Daws Line = papers co-authored together Matthew Daws links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201433
2 201232
3 200724
4 200615
5 201210
6 20139
7 20128
8 20048
9 20096
10 20086
11 20186
12 20066
13 20154
14 20114
15 20093
16 20173
17 20163
18 20113
19 20182
20 20092

About Matthew Daws

Matthew Daws is a scholar working on Mathematical Physics, Algebra and Number Theory, Geometry and Topology, Applied Mathematics and Statistical and Nonlinear Physics, having authored 26 papers that have together received 191 indexed citations. Recurring topics across this work include Advanced Operator Algebra Research (24 papers), Advanced Topics in Algebra (22 papers), Advanced Banach Space Theory (16 papers), Algebraic structures and combinatorial models (9 papers), Holomorphic and Operator Theory (3 papers), Noncommutative and Quantum Gravity Theories (2 papers), Approximation Theory and Sequence Spaces (1 paper) and Advanced Topology and Set Theory (1 paper). The work is most often cited by research in Algebra and Number Theory (149 citations), Mathematical Physics (187 citations), Geometry and Topology (94 citations), Applied Mathematics (28 citations) and Statistical and Nonlinear Physics (19 citations). Matthew Daws has collaborated with scholars based in United Kingdom, Canada and Poland. Frequent co-authors include Adam Skalski, Stuart White, Piotr M. Sołtan, Paweł Kasprzak, Volker Runde, Pekka Salmi, H. G. Dales, Nico Spronk and B. Krishna Das. Their work appears in journals such as Journal of Functional Analysis, Studia Mathematica, Canadian Journal of Mathematics, Advances in Mathematics and Journal of the London 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.

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