James McKee

49 papers receiving 1.4k citations

James McKee's Hit Papers

Reducing the bandwidth of sparse symmetric matrices 1969 · 1.1k citations
1.1k0+19+38Years since publication2505007501000

Peers

James McKee
Comparison fields: 5 of 96
  • Computational Theory and Mathematics 566
  • Computational Mathematics 19
  • Hardware and Architecture 202
  • Discrete Mathematics and Combinatorics 82
  • Geometry and Topology 217
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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 19 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reducing the bandwidth of sparse symmetric matrices
Hit paper breakdown →
19691068
2 200750
3 200743
4 200539
5 200833
6 199931
7 200526
8 200025
9 200523
10 200423
11 199921
12 201117
13 199914
14 199612
15 199511
16 201011
17 201110
18 20209
19 20059
20 19969

About James McKee

James McKee is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Graph theory and applications (14 papers), Matrix Theory and Algorithms (10 papers), Coding theory and cryptography (9 papers), Algebraic Geometry and Number Theory (9 papers), Analytic Number Theory Research (8 papers), Cryptography and Residue Arithmetic (8 papers), Polynomial and algebraic computation (8 papers) and Advanced Combinatorial Mathematics (7 papers). The work is most often cited by research in Computational Theory and Mathematics (566 citations), Computational Mathematics (19 citations), Hardware and Architecture (202 citations), Discrete Mathematics and Combinatorics (82 citations) and Geometry and Topology (217 citations). James McKee has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Elizabeth Cuthill, Chris Smyth, Steven D. Galbraith⋆, Simon R. Blackburn⋆, Peter Rowlinson, C. Christopoulos, Igor E. Shparlinski, L. Beresford, J. A. Frost and Michael Spannowsky. Their work appears in journals such as Mathematics of Computation, Mathematical Proceedings of the Cambridge Philosophical Society, Linear Algebra and its Applications, Journal of the London Mathematical Society and Experimental 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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