M. Karnaugh

951 citations
19 papers · 590 · h-index 9

Impact in

Papers in

M. Karnaugh

15 papers receiving 499 citations

Peers

M. Karnaugh
Comparison fields: 5 of 74
  • Hardware and Architecture 76
  • Computational Theory and Mathematics 153
  • Artificial Intelligence 245
  • Software 25
  • Computer Networks and Communications 115
Replace D. H. Younger with:
D. H. Younger Canada
George H. Mealy United States
Graham Birtwistle Canada
Lawrence T. Kou United States
Taylor L. Booth United States
A. J. Bernstein United States
Thomas C. Bartee United States
Jordi Petit Spain
Bruce D. Shriver United States
Juraj Hromkovic̆ Germany
M. Karnaugh relative to D. H. Younger Canada D. H. Younger's profile →
Citations per field
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D. H. Younger · 1×
Citations per year

Countries citing papers authored by M. Karnaugh

Since Specialization
Citations

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

Fields of papers citing papers by M. Karnaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside M. Karnaugh, 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 M. Karnaugh Line = papers co-authored together M. Karnaugh links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1953367
2 195540
3 197639
4
YES/MVS: a continuous real time expert system
198431
5 196628
6 198627
7 198624
8 196813
9 19748
10 19864
11
Automation of MVS Operations, an Expert Systems Approach.
19842
12 19622
13 19731
14 19721
15 19921
16 19541
17 19641
18
Experiences with object centered modeling of financial marketing
19930
19 20020

About M. Karnaugh

M. Karnaugh is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Civil and Structural Engineering and Signal Processing, having authored 19 papers that have together received 590 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (4 papers), Advanced Optical Network Technologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Structural Health Monitoring Techniques (2 papers), Semantic Web and Ontologies (2 papers), Network Time Synchronization Technologies (2 papers), Artificial Intelligence in Games (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Hardware and Architecture (76 citations), Computational Theory and Mathematics (153 citations), Artificial Intelligence (245 citations), Software (25 citations) and Computer Networks and Communications (115 citations). M. Karnaugh has collaborated with scholars based in United States and Japan. Frequent co-authors include Keith R. Milliken, James C. Candy, David Klein, S. J. Hong, James H. Griesmer, Chidanand Apté, Se June Hong, Franklin F. Kuo, Chid Apte and Eric Mays. Their work appears in journals such as IBM Journal of Research and Development, AI Magazine, IEEE Transactions on Communications, Bell System Technical Journal and Data Processing.

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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