G. David Forney

23.6k citations
86 papers · 14.7k indexed · 7 hit papers · h-index 40

G. David Forney

83 papers receiving 13.4k citations

Hit Papers

The viterbi algorithm19702026198820071973197220011975198410002.0k3.0k

Peers

G. David Forney
Comparison fields: 5 of 159
  • Electrical and Electronic Engineering 9.7k
  • Computer Networks and Communications 7.7k
  • Artificial Intelligence 5.4k
  • Computational Theory and Mathematics 2.1k
  • Signal Processing 1.9k
Replace Imre Csiszár with:
Imre Csiszár Hungary
Sergio Verdú United States
A.D. Wyner United States
Michael Luby United States
Robert G. Gallager United States
Babak Hassibi United States
José M. F. Moura United States
J. Ziv Israel
Andrew J. Viterbi United States
Nicholas D. Sidiropoulos United States
G. David Forney relative to Imre Csiszár Hungary Imre Csiszár's profile →
Citations per field
00.5×3.5×
Imre Csiszár · 1×
Citations per year

Countries citing papers authored by G. David Forney

Since Specialization
Citations

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

Fields of papers citing papers by G. David Forney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. David Forney

This figure shows the co-authorship network connecting the top 25 collaborators of G. David Forney. A scholar is included among the top collaborators of G. David Forney 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 G. David Forney. G. David Forney 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
#WorkIndexed citations
1
Channel Coding: The Road to Channel Capacity Fifty years of effort and invention have finally produced coding schemes that closely approach Shannon's channel capacity limit on memoryless communication channels.
6
2 243
3 131
4 88
5 391
6
Introduction to the special issue on codes and complexity.
8
7 29
8 42
9 6
10 31
11
Trellis shaping
4
12 148
13
Minimal Bases of Rational Vector Spaces, with Applications to Multivariable Linear Systemsbreakdown →
497
14
Convolutional codes. II - Maximum-likelihood decoding. III - Sequential decoding
1
15 52
16 84
17
Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interferencebreakdown →
1710
18 8
19
Convolutional codes I: Algebraic structurebreakdown →
454
20
Concatenated codes Technical report 440
0

About G. David Forney

G. David Forney is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 86 papers that have together received 14.7k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (47 papers), Advanced Wireless Communication Techniques (39 papers) and Coding theory and cryptography (33 papers). The work is most often cited by research in Computer Networks and Communications (7.7k citations), Signal Processing (1.9k citations) and Artificial Intelligence (5.4k citations). G. David Forney has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include M.V. Eyuboglu, Sae-Young Chung, Tom Richardson, Rüdiger Urbanke, G. Ungerboeck, Lee-Fang Wei, J.M. Cioffi, M.D. Trott, G.P. Dudevoir and Daniel J. Costello. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Journal on Selected Areas in 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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