John Gill

3.3k citations
63 papers · 1.8k · h-index 17

Impact in

    • Complexity and Algorithms in Graphs
    • Computability, Logic, AI Algorithms
    • semigroups and automata theory
    • Advanced Graph Theory Research
    • Machine Learning and Algorithms
    • Algorithms and Data Compression
    • Cryptography and Data Security
    • Logic, Reasoning, and Knowledge

Papers in

John Gill

61 papers receiving 1.6k citations

Peers

John Gill
Comparison fields: 5 of 100
  • Computational Theory and Mathematics 1.1k
  • Artificial Intelligence 867
  • Hardware and Architecture 148
  • Computer Networks and Communications 296
  • Discrete Mathematics and Combinatorics 31
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Grzegorz Bancerek Poland
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Citations per field
00.5×7.8×
John C. Kieffer · 1×
Citations per year

Countries citing papers authored by John Gill

Since Specialization
Citations

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

Fields of papers citing papers by John Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Gill, 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 John Gill Line = papers co-authored together John Gill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977394
2 1975388
3 1981237
4 197882
5 198281
6 199263
7 197558
8 198252
9 199948
10 201539
11 199337
12 201537
13 197436
14 201523
15 197422
16 197321
17 199019
18 199414
19 198813
20 199313

About John Gill

John Gill is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry and Geometry and Topology, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (12 papers), Algorithms and Data Compression (9 papers), semigroups and automata theory (8 papers), Mathematics and Applications (4 papers), Cellular Automata and Applications (4 papers), Iterative Methods for Nonlinear Equations (4 papers), Fusion materials and technologies (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (867 citations), Hardware and Architecture (148 citations), Computer Networks and Communications (296 citations) and Discrete Mathematics and Combinatorics (31 citations). John Gill has collaborated with scholars based in United States and Brazil. Frequent co-authors include Robert M Solovay, T. P. Baker, Charles H. Bennett, Richard Beigel, Stephen J. Lippard, John L. Hennessy, Norman P. Jouppi, Thomas R. Gross, Forest Baskett and Larry Carter. Their work appears in journals such as Proceedings of the American Mathematical Society, Polymer Degradation and Stability, Journal of Computational and Applied Mathematics, SIAM Journal on Computing and Theoretical Computer Science.

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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