James McKee

28 papers receiving 1.1k citations

James McKee's Hit Papers

Reducing the bandwidth of sparse symmetric matrices 1969 · 933 citations
9330+19+38Years since publication250500750

Peers

James McKee
Comparison fields: 5 of 95
  • Computational Mathematics 19
  • Computational Theory and Mathematics 463
  • Hardware and Architecture 175
  • Geometry and Topology 159
  • Discrete Mathematics and Combinatorics 58
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Benton Leong Canada
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Countries citing papers authored by James McKee

Since Specialization
Citations

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

Fields of papers citing papers by James McKee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside James McKee, 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 James McKee Line = papers co-authored together James McKee 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
Reducing the bandwidth of sparse symmetric matrices
Hit paper breakdown →
1969933
2 200741
3 200833
4 199927
5 200525
6 200723
7 200523
8 201115
9 200014
10 201011
11 201110
12 199510
13 20209
14 19968
15 19948
16 19998
17 19997
18 19945
19 20094
20 20153

About James McKee

James McKee is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Algebra and Number Theory and Artificial Intelligence, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (9 papers), Coding theory and cryptography (7 papers), Analytic Number Theory Research (7 papers), Graph theory and applications (7 papers), Cryptography and Residue Arithmetic (6 papers), Advanced Combinatorial Mathematics (6 papers), Polynomial and algebraic computation (5 papers) and semigroups and automata theory (4 papers). The work is most often cited by research in Computational Mathematics (19 citations), Computational Theory and Mathematics (463 citations), Hardware and Architecture (175 citations), Geometry and Topology (159 citations) and Discrete Mathematics and Combinatorics (58 citations). James McKee has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Elizabeth Cuthill, Chris Smyth, Steven D. Galbraith⋆, Simon R. Blackburn⋆, C. Christopoulos, D. Bortoletto, B. Stanislaus, W. K. Balunas, Ç. İşsever and J. K. K. Liu. Their work appears in journals such as Mathematics of Computation, Mathematical Proceedings of the Cambridge Philosophical Society, Journal of the London Mathematical Society, Experimental Mathematics and Linear Algebra and its Applications.

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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