Norman E. Gibbs

1.8k citations
31 papers · 1.1k · h-index 12

Impact in

Papers in

Norman E. Gibbs

28 papers receiving 944 citations

Peers

Norman E. Gibbs
Comparison fields: 5 of 110
  • Computer Science Applications 149
  • Computational Theory and Mathematics 411
  • Computer Graphics and Computer-Aided Design 83
  • Software 42
  • Hardware and Architecture 73
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Citations per year

Countries citing papers authored by Norman E. Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Norman E. Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Norman E. Gibbs, 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 Norman E. Gibbs Line = papers co-authored together Norman E. Gibbs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976392
2 1982177
3 1986106
4 197674
5 197655
6 198946
7 198941
8 196934
9 200632
10 197631
11 200520
12 198712
13 19919
14 19838
15
Matrix Bandwidth and Profile Reduction.
19757
16 19776
17
Principles of data structures and algorithms with Pascal
19876
18 19745
19 19773
20 19753

About Norman E. Gibbs

Norman E. Gibbs is a scholar working on Computer Science Applications, Information Systems, Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (8 papers), Teaching and Learning Programming (8 papers), Software Engineering Research (4 papers), Algorithms and Data Compression (4 papers), Online Learning and Analytics (3 papers), Advanced Graph Theory Research (3 papers), Graph theory and applications (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Computer Science Applications (149 citations), Computational Theory and Mathematics (411 citations), Computer Graphics and Computer-Aided Design (83 citations), Software (42 citations) and Hardware and Architecture (73 citations). Norman E. Gibbs has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William G. Poole, Paul K. Stockmeyer, Allen B. Tucker, A. K. Dewdney, Phyllis Zweig Chinn, Gary A. Ford, Raheem Beyah, John A. Copeland, Richard E. Fairley and Scott N. Woodfield. Their work appears in journals such as Communications of the ACM, ACM Transactions on Mathematical Software, Journal of Graph Theory, SIAM Journal on Numerical Analysis and Journal of the ACM.

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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