John G. Cleary

6.9k citations
68 papers · 3.7k indexed · 2 hit papers · h-index 18

Impact in

Papers in

John G. Cleary

62 papers receiving 3.3k citations

Hit Papers

Text Compression 1990 · 666 citations
666198720262000201350010001.5k

Peers

John G. Cleary
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 1.9k
  • Computer Graphics and Computer-Aided Design 303
  • Signal Processing 805
  • Artificial Intelligence 2.0k
  • Hardware and Architecture 379
Replace David A. Huffman with:
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Giuseppe Di Battista Italy
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John G. Cleary relative to David A. Huffman United States David A. Huffman's profile →
Citations per field
00.5×3.5×
David A. Huffman · 1×
Citations per year

Countries citing papers authored by John G. Cleary

Since Specialization
Citations

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

Fields of papers citing papers by John G. Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201452
2
Quantitative Analysis of Shotgun Metagenomic Data with the Real Time Genomics Platform
20132
3
High precision traffic measurement by the WAND research group
20080
4 200215
5 19972
6 1997145
7 199614
8
Proving the existence of solutions in logical arithmetic
19931
9 19912
10 19893
11 198811
12 19872
13 19876
14 19854
15 19841
16 19842
17 19821
18 19825
19 19822
20 19806

About John G. Cleary

John G. Cleary is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Computer Networks and Communications, having authored 68 papers that have together received 3.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (7 papers), Simulation Techniques and Applications (7 papers), Embedded Systems Design Techniques (6 papers), Network Traffic and Congestion Control (5 papers), Real-Time Systems Scheduling (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Computer Graphics and Computer-Aided Design (303 citations), Signal Processing (805 citations), Artificial Intelligence (2.0k citations) and Hardware and Architecture (379 citations). John G. Cleary has collaborated with scholars based in New Zealand, Canada and United States. Frequent co-authors include Ian H. Witten, Radford M. Neal, Tim Bell, Geoff Wyvill, William J. Teahan, Sean A. Irvine, Colin Boyd, Brian Wyvill, Graham Birtwistle and Stuart J. Inglis. Their work appears in journals such as Computers & Security, Gastroenterology, ACM Transactions on Mathematical Software, The Visual Computer and IEEE Transactions on Communications.

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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