John Cocke

9.6k citations
23 papers · 6.4k indexed · 3 hit papers · h-index 15

John Cocke

23 papers receiving 5.8k citations

Hit Papers

A statistical approach to machine translation1.0k197420261991200810002.0k3.0k

Peers

John Cocke
Comparison fields: 5 of 101
  • Computer Networks and Communications 3.6k
  • Hardware and Architecture 835
  • Artificial Intelligence 2.8k
  • Software 255
  • Electrical and Electronic Engineering 3.5k
Replace Tadao Kasami with:
Tadao Kasami Japan
Daniel D. Sleator United States
Alon Itai Israel
Ravi Sethi United States
James B. Saxe United States
Martin Davis United States
John Backus United States
John P. Hayes United States
Arnold L. Rosenberg United States
Donald Knuth United States
John Cocke relative to Tadao Kasami Japan Tadao Kasami's profile →
Citations per field
00.5×3.7×
Tadao Kasami · 1×
Citations per year

Countries citing papers authored by John Cocke

Since Specialization
Citations

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

Fields of papers citing papers by John Cocke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside John Cocke, 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 Cocke Line = papers co-authored together John Cocke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199148
2
A statistical approach to machine translationbreakdown →
19901013
3 199029
4 198813
5 198815
6 1988154
7 198210
8 198256
9
Register allocation via coloringbreakdown →
1981476
10
Measurement of Programming Improvement Algorithms.
19805
11 19803
12 197771
13 197611
14
Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)breakdown →
19743761
15 1970135
16 197044
17
Programming languages and their compilers: Preliminary notes
1969221
18 196429
19 19599
20 19599

About John Cocke

John Cocke is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 23 papers that have together received 6.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Algorithms and Data Compression (4 papers), Advanced Data Storage Technologies (3 papers), Cellular Automata and Applications (3 papers), DNA and Biological Computing (2 papers), Advanced Database Systems and Queries (2 papers), Error Correcting Code Techniques (2 papers) and Logic, programming, and type systems (2 papers). The work is most often cited by research in Computer Networks and Communications (3.6k citations), Hardware and Architecture (835 citations), Artificial Intelligence (2.8k citations), Software (255 citations) and Electrical and Electronic Engineering (3.5k citations). John Cocke has collaborated with scholars based in United States and Israel. Frequent co-authors include F. Jelinek, J. Raviv, L.R. Bahl, Frances Allen, Vincent J. Della Pietra, Stephen A. Della Pietra, Peter F. Brown, Robert L. Mercer, John Lafferty and Peter Markstein. Their work appears in journals such as Communications of the ACM, IBM Journal of Research and Development, ACM SIGPLAN Notices, Computational Linguistics 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026