David A. Huffman

8.1k citations
19 papers · 4.7k · 1 hit paper · h-index 11

Impact in

Papers in

David A. Huffman

19 papers receiving 4.2k citations

David A. Huffman's Hit Papers

A Method for the Construction of Minimum-Redundancy Codes 1952 · 3.8k citations
3.8k0+24+49Years since publication10002.0k3.0k

Peers

David A. Huffman
Comparison fields: 5 of 138
  • Hardware and Architecture 819
  • Artificial Intelligence 2.7k
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Networks and Communications 1.4k
  • Signal Processing 624
Replace G.E. Whitesides with:
G.E. Whitesides United States
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Citations per year

Countries citing papers authored by David A. Huffman

Since Specialization
Citations

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

Fields of papers citing papers by David A. Huffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Huffman. 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 David A. Huffman. The network helps show where David A. Huffman may publish in the future.

Co-authors

The 3 scholars most cited alongside David A. Huffman, 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 David A. Huffman Line = papers co-authored together David A. Huffman links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
A Method for the Construction of Minimum-Redundancy Codes
Hit paper breakdown →
19523783
2 1954252
3 2006247
4 1954152
5 195768
6 195951
7 201247
8
A STUDY OF THE MEMORY REQUIREMENTS OF SEQUENTIAL SWITCHING CIRCUITS
195522
9 195922
10 195921
11 195617
12
Testing for Faults in Cellular Logic Arrays
19729
13
Development of New Pattern-Recognition Methods.
19737
14
Linear sequential switching circuits : selected technical papers
19656
15
Realizable Configurations of Lines in Pictures of Polyhedrat
20135
16 19594
17
Extremely low noise frequency dividers.
19852
18 20141
19 20061

About David A. Huffman

David A. Huffman is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Control and Systems Engineering, having authored 19 papers that have together received 4.7k indexed citations. Recurring topics across this work include Coding theory and cryptography (3 papers), Low-power high-performance VLSI design (3 papers), Sensor Technology and Measurement Systems (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Numerical Methods and Algorithms (2 papers), Cybersecurity and Information Systems (2 papers), graph theory and CDMA systems (2 papers) and Petri Nets in System Modeling (1 paper). The work is most often cited by research in Hardware and Architecture (819 citations), Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (1.6k citations), Computer Networks and Communications (1.4k citations) and Signal Processing (624 citations). David A. Huffman has collaborated with scholars based in United States. Frequent co-authors include William H. Kautz, Richard O. Duda and Daniela Hall. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the Franklin Institute, Journal of the ACM, Process Safety Progress and Resonance.

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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