L. Davisson

3.1k total citations · 1 hit paper
66 papers, 2.1k citations indexed

About

L. Davisson is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, L. Davisson has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 19 papers in Electrical and Electronic Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in L. Davisson's work include Advanced Data Compression Techniques (17 papers), Algorithms and Data Compression (17 papers) and Advanced Wireless Communication Techniques (12 papers). L. Davisson is often cited by papers focused on Advanced Data Compression Techniques (17 papers), Algorithms and Data Compression (17 papers) and Advanced Wireless Communication Techniques (12 papers). L. Davisson collaborates with scholars based in United States, Taiwan and Canada. L. Davisson's co-authors include Robert M. Gray, Alberto Leon‐Garcia, David L. Neuhoff, M.B. Pursley, G. Longo, Andrea Sgarro, Chein‐I Chang, Kwang‐Cheng Chen, S.C. Schwartz and Paul G. Flikkema and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

L. Davisson

62 papers receiving 2.0k citations

Hit Papers

Rate Distortion Theory: A Mathematical Basis for Data Com... 1972 2026 1990 2008 1972 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rate Distortion Theory: A Mathematical Basis for Data Compression
    1972 675 citations L. Davisson IEEE Transactions on Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
L. Davisson United States 22 918 711 645 531 424 66 2.1k
David L. Neuhoff United States 28 798 0.9× 816 1.1× 1.9k 2.9× 685 1.3× 610 1.4× 156 3.3k
Tamás Linder Canada 24 691 0.8× 534 0.8× 689 1.1× 672 1.3× 233 0.5× 143 1.9k
Leonard J. Schulman United States 26 1.1k 1.1× 351 0.5× 234 0.4× 504 0.9× 188 0.4× 102 2.2k
Paul C. Shields United States 20 869 0.9× 266 0.4× 211 0.3× 256 0.5× 128 0.3× 70 1.9k
J.W. Modestino United States 28 531 0.6× 869 1.2× 1.4k 2.2× 771 1.5× 738 1.7× 125 3.1k
B. K. Natarajan United States 17 491 0.5× 229 0.3× 1.1k 1.6× 281 0.5× 616 1.5× 41 2.8k
L. R. Welch United States 16 1.5k 1.6× 1.6k 2.2× 240 0.4× 749 1.4× 213 0.5× 37 2.6k
K. Zeger United States 32 1.4k 1.5× 2.4k 3.4× 1.7k 2.7× 2.2k 4.2× 796 1.9× 132 4.8k
Meir Feder Israel 35 1.6k 1.8× 2.3k 3.3× 647 1.0× 1.7k 3.1× 1.3k 3.0× 218 5.1k
Ian F. Blake Canada 28 2.5k 2.7× 1.1k 1.5× 369 0.6× 989 1.9× 108 0.3× 130 3.7k

Countries citing papers authored by L. Davisson

Since Specialization
Citations

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

Fields of papers citing papers by L. Davisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Davisson

This figure shows the co-authorship network connecting the top 25 collaborators of L. Davisson. A scholar is included among the top collaborators of L. Davisson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Davisson. L. Davisson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gray, Robert M. & L. Davisson. (2004). An Introduction to Statistical Signal Processing. Cambridge University Press eBooks. 144 indexed citations
2.
Chang, Chein‐I & L. Davisson. (2003). A counterpart of Remerz's algorithms in statistical decision theory: Chang-Davisson's algorithms. International Conference on Acoustics, Speech, and Signal Processing. 1345–1348.
3.
4.
Chen, Kwang‐Cheng & L. Davisson. (1994). Analysis of SCCL as a PN-code tracking loop. IEEE Transactions on Communications. 42(11). 2942–2946. 12 indexed citations
5.
Benesty, Jacob, et al.. (1992). Adaptive Signal Processing. Medical Entomology and Zoology. 7 indexed citations
6.
Fan, C. Simon, et al.. (1990). On numerical methods of calculating the capacity of continuous-input discrete-output memoryless channels. Information and Computation. 86(1). 1–13. 7 indexed citations
7.
Gray, Robert M. & L. Davisson. (1986). Random processes : a mathematical approach for engineers. Prentice Hall eBooks. 36 indexed citations
8.
Davisson, L., G. Longo, & Andrea Sgarro. (1981). The error exponent for the noiseless encoding of finite ergodic Markov sources. IEEE Transactions on Information Theory. 27(4). 431–438. 56 indexed citations
9.
Davisson, L., Robert J. McEliece, M.B. Pursley, & Mark Wallace. (1981). Efficient universal noiseless source codes. IEEE Transactions on Information Theory. 27(3). 269–279. 36 indexed citations
10.
Davisson, L. & Alberto Leon‐Garcia. (1980). A source matching approach to finding minimax codes. IEEE Transactions on Information Theory. 26(2). 166–174. 69 indexed citations
11.
Pursley, M.B. & L. Davisson. (1976). Variable rate coding for nonergodic sources and classes of ergodic sources subject to a fidelity constraint. IEEE Transactions on Information Theory. 22(3). 324–337. 17 indexed citations
12.
Davisson, L. & M.B. Pursley. (1975). A direct proof of the coding theorem for discrete sources with memory. IEEE Transactions on Information Theory. 21(3). 310–317. 5 indexed citations
13.
Davisson, L.. (1974). Review of 'Foundations of the Theory of Learning Systems' (Tsypkin, Ya. Z.; 1973). IEEE Transactions on Information Theory. 20(5). 693–693. 1 indexed citations
14.
Davisson, L., et al.. (1972). Data Compression Panel Discussion. Defense Technical Information Center (DTIC). 1 indexed citations
15.
Davisson, L.. (1971). Two theorems on minimax equalization. NASA Technical Reports Server (NASA). 1 indexed citations
16.
Davisson, L.. (1970). Convergence probability bounds for stochastic approximation. IEEE Transactions on Information Theory. 16(6). 680–685. 10 indexed citations
17.
Davisson, L.. (1968). The theoretical analysis of data compression systems. Proceedings of the IEEE. 56(2). 176–186. 26 indexed citations
18.
Davisson, L.. (1968). Information rates for data compression.. NASA Technical Reports Server (NASA). 9 indexed citations
19.
Davisson, L.. (1966). Adaptive linear filtering when signal distributions are unknown. IEEE Transactions on Automatic Control. 11(4). 740–742. 1 indexed citations
20.
Davisson, L.. (1965). The filtering of time series with unknown signal statistics. 506–510. 4 indexed citations

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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