John Gill

3.2k citations
63 papers · 1.8k indexed · h-index 17

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 149
  • Computer Networks and Communications 296
  • Geometry and Topology 82
Replace John C. Kieffer with:
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John Gill relative to John C. Kieffer United States John C. Kieffer's profile →
Citations per field
00.5×2.9×
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-authorship network

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
#Work
1 20173
2 20051
3 199948
4 19992
5 19956
6 199337
7 199313
8 199263
9 19903
10 19891
11 198813
12 19861
13
Tritium inventory differences: I. Sampling and U-getter pump holdup
19861
14
Tritium inventory differences: II. Molecular sieve holdup
19862
15 19823
16 19819
17 198010
18
On Tape-Bounded Probabilistic Turing Machine Transducers (Extended Abstract)
19781
19 197512
20 197321

About John Gill

John Gill is a scholar working on Theoretical Computer Science, Computational Theory and Mathematics, Geometry and Topology, Numerical Analysis and Mathematical Physics, 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), Iterative Methods for Nonlinear Equations (4 papers), Advanced Data Compression Techniques (4 papers), Cellular Automata and Applications (4 papers), DNA and Biological Computing (4 papers) and Fusion materials and technologies (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 (149 citations), Computer Networks and Communications (296 citations) and Geometry and Topology (82 citations). John Gill has collaborated with scholars based in United States and Brazil. Frequent co-authors include T. P. Baker, Robert M Solovay, Charles H. Bennett, Richard Beigel, Stephen J. Lippard, Thomas R. Gross, John L. Hennessy, Forest Baskett, Norman P. Jouppi and Mark N. Wegman. Their work appears in journals such as Proceedings of the American Mathematical Society, Polymer Degradation and Stability, SIAM Journal on Computing, Journal of Computational and Applied Mathematics and Journal of Vacuum Science & Technology A Vacuum Surfaces and Films.

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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