John Case

3.4k citations
139 papers · 2.2k · 1 hit paper · h-index 18

Impact in

Papers in

    • Computability, Logic, AI Algorithms 87
    • semigroups and automata theory 47
    • Cellular Automata and Applications 6
    • Machine Learning and Algorithms 98
    • Algorithms and Data Compression 56
    • Logic, programming, and type systems 9
    • Domain Adaptation and Few-Shot Learning 7

John Case

132 papers receiving 2.1k citations

John Case's Hit Papers

Age-Related Changes in 1/ f Neural Electrophysiological Noise 2015 · 496 citations
4960+3+7Years since publication100200300400

Peers

John Case
Comparison fields: 5 of 118
  • Computational Theory and Mathematics 1.4k
  • Artificial Intelligence 1.5k
  • Cognitive Neuroscience 428
  • Computer Networks and Communications 177
  • Cellular and Molecular Neuroscience 99
Replace Denis Thérien with:
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John Case relative to Denis Thérien Canada Denis Thérien's profile →
Citations per field
00.5×1.5×2.2×
Denis Thérien · 1×
Citations per year

Countries citing papers authored by John Case

Since Specialization
Citations

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

Fields of papers citing papers by John Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Age-Related Changes in 1/ f Neural Electrophysiological Noise
Hit paper breakdown →
2015496
2 1983338
3 1982149
4 1974117
5 199956
6
Subrecursive Programming Systems: Complexity & Succinctness
199454
7 199950
8 201746
9 199441
10 197140
11 199440
12 198835
13 201331
14 200731
15 197827
16 199525
17 199924
18 200723
19 200118
20 200817

About John Case

John Case is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Statistics and Probability and Hardware and Architecture, having authored 139 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (98 papers), Computability, Logic, AI Algorithms (87 papers), Algorithms and Data Compression (56 papers), semigroups and automata theory (47 papers), Optimization and Search Problems (14 papers), Logic, programming, and type systems (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Cellular Automata and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (1.5k citations), Cognitive Neuroscience (428 citations), Computer Networks and Communications (177 citations) and Cellular and Molecular Neuroscience (99 citations). John Case has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Carl H. Smith, Sanjay K. Jain, Robert Thomas Knight, Kyle Q. Lepage, Mark A. M. Kramer, Bradley Voytek, Adam H. Gazzaley, James S. Royer, Frank Stephan and Timo Kötzing. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences, Information and Computation, Lecture notes in computer science and Theory of Computing Systems.

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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