I.S. Reed

17.2k total citations · 4 hit papers
254 papers, 11.9k citations indexed

About

I.S. Reed is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, I.S. Reed has authored 254 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 70 papers in Electrical and Electronic Engineering and 66 papers in Signal Processing. Recurrent topics in I.S. Reed's work include Coding theory and cryptography (94 papers), Cryptography and Residue Arithmetic (35 papers) and Digital Filter Design and Implementation (33 papers). I.S. Reed is often cited by papers focused on Coding theory and cryptography (94 papers), Cryptography and Residue Arithmetic (35 papers) and Digital Filter Design and Implementation (33 papers). I.S. Reed collaborates with scholars based in United States, Taiwan and Norway. I.S. Reed's co-authors include G. Solomon, Xinyi Yu, L. Brennan, J.D. Mallett, J.S. Goldstein, T. K. Truong, Louis L. Scharf, R. Gagliardi, Trieu‐Kien Truong and Larry B. Stotts and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

I.S. Reed

237 papers receiving 10.9k citations

Hit Papers

Polynomial Codes Over Certain Finite Fields 1960 2026 1982 2004 1960 1974 1990 1998 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I.S. Reed United States 42 3.8k 3.4k 3.1k 3.0k 2.8k 254 11.9k
Nicholas D. Sidiropoulos United States 53 1.9k 0.5× 1.6k 0.5× 3.4k 1.1× 4.2k 1.4× 5.8k 2.0× 360 13.3k
José M. F. Moura United States 62 843 0.2× 6.6k 2.0× 1.3k 0.4× 6.2k 2.1× 3.0k 1.1× 517 16.5k
Sun‐Yuan Kung United States 46 501 0.1× 2.1k 0.6× 2.3k 0.7× 2.2k 0.7× 2.6k 0.9× 381 10.9k
Andrew G. Dempster Australia 44 2.8k 0.8× 998 0.3× 2.0k 0.6× 999 0.3× 3.9k 1.4× 336 7.5k
Hongwei Liu China 49 6.7k 1.8× 2.3k 0.7× 960 0.3× 819 0.3× 1.3k 0.5× 685 10.8k
Xiang‐Gen Xia United States 69 8.8k 2.3× 1.8k 0.5× 1.6k 0.5× 5.5k 1.8× 10.0k 3.5× 739 18.9k
Peter Willett United States 56 3.1k 0.8× 5.7k 1.7× 1.2k 0.4× 4.1k 1.4× 4.5k 1.6× 694 13.8k
Joel A. Tropp United States 42 2.1k 0.5× 2.4k 0.7× 5.6k 1.8× 1.9k 0.6× 4.7k 1.7× 97 22.2k
Harry L. Van Trees United States 18 4.4k 1.2× 2.8k 0.8× 6.3k 2.0× 2.6k 0.9× 4.3k 1.5× 47 14.4k
Rick S. Blum United States 53 8.2k 2.2× 2.3k 0.7× 2.8k 0.9× 4.7k 1.6× 5.0k 1.8× 364 15.0k

Countries citing papers authored by I.S. Reed

Since Specialization
Citations

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

Fields of papers citing papers by I.S. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.S. Reed. 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 I.S. Reed. The network helps show where I.S. Reed may publish in the future.

Co-authorship network of co-authors of I.S. Reed

This figure shows the co-authorship network connecting the top 25 collaborators of I.S. Reed. A scholar is included among the top collaborators of I.S. Reed 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 I.S. Reed. I.S. Reed 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.
Truong, Trieu‐Kien, et al.. (2006). Fast, prime factor, discrete Fourier transform algorithms over GF (2 m ) for 8 leq m leq 10.. Information Sciences. 176. 1–26. 4 indexed citations
2.
Truong, Trieu‐Kien, et al.. (1989). A simplified procedure for decoding the (23,12) and (24,12) Golay codes. Telecommunications and Data Acquisition Progress Report. 96. 49–58. 2 indexed citations
3.
Truong, T. K., et al.. (1989). Decoding of 1/2-rate (24,12) Golay codes. NASA STI Repository (National Aeronautics and Space Administration). 97. 202–207. 1 indexed citations
4.
Truong, T. K., et al.. (1988). A Comparison of VLSI Architectures for Time and Transform Domain Decoding of Reed-Solomon Codes. NASA STI Repository (National Aeronautics and Space Administration). 92. 63–81. 3 indexed citations
5.
Truong, T. K., et al.. (1987). A comparison of VLSI architecture of finite field multipliers using dual, normal or standard basis. Telecommunications and Data Acquisition Progress Report. 90. 63–75. 4 indexed citations
6.
Truong, Trieu‐Kien, et al.. (1987). A simplified procedure for correcting both errors and erasures of a Reed-Solomon code using the Euclidean algorithm. Telecommunications and Data Acquisition Progress Report. 91. 200–212. 3 indexed citations
7.
Reed, I.S., et al.. (1987). On the VLSI design of a pipeline Reed-Solomon decoder using systolic arrays. NASA STI Repository (National Aeronautics and Space Administration). 91. 224–234. 4 indexed citations
8.
Reed, I.S., et al.. (1986). Bounded distance coset decoding of convolutional codes. IEE Proceedings F Communications, Radar and Signal Processing. 133(5). 488–492. 2 indexed citations
9.
Reed, I.S. & T. K. Truong. (1984). New syndrome decoding techniques for the (n,k) convolutional codes. IEE Proceedings F Communications, Radar and Signal Processing. 131(4). 412–416. 1 indexed citations
10.
Yuen, J. H., et al.. (1984). A Systolic VLSI Design of a Pipeline Reed-solomon Decoder. Telecommunications and Data Acquisition Progress Report. 76. 99–113. 1 indexed citations
11.
Omura, J. K., et al.. (1983). VLSI Architectures for Computing Multiplications and Inverses in GF(2m). Telecommunications and Data Acquisition Progress Report. 75. 52–64. 11 indexed citations
12.
Truong, T. K., et al.. (1982). A parallel VLSI architecture for a digital filter of arbitrary length using Fermat number transforms. Telecommunications and Data Acquisition Progress Report. 70. 60–71. 6 indexed citations
13.
Reed, I.S., T. K. Truong, Robert Miller, & Jianzhong Huang. (1981). Fast transforms for decoding Reed-Solomon codes. IEE Proceedings F Communications, Radar and Signal Processing. 128(1). 9–14. 4 indexed citations
14.
Miller, Robert, et al.. (1979). A Reed-Solomon Decoding Program for Correcting Both Errors and Erasures. 53. 102–107. 2 indexed citations
15.
Reed, I.S. & T. K. Truong. (1978). A New Hybrid Algorithm for Computing a Fast Discrete Fourier Transform. 45. 172–185. 1 indexed citations
16.
Reed, I.S., et al.. (1978). On decoding of Reed-Solomon codes over GF/32/ and GF/64/ using the transform techniques of Winograd. 44. 139–171. 2 indexed citations
17.
Reed, I.S., et al.. (1977). Transform Decoding of Reed-Solomon Codes Over GF (22n) Using the Techniques of Winograd. 43. 141–163.
18.
Reed, I.S., et al.. (1977). High-radix transforms for Reed-Solomon codes over Fermat primes. IEEE Transactions on Information Theory. 1 indexed citations
19.
Reed, I.S., L. R. Welch, & T. K. Truong. (1976). The fast decoding of Reed-Solomon codes using number theoretic transforms. 35. 64–78. 4 indexed citations
20.
Reed, I.S.. (1971). kth order near-orthogonal codes. IEEE Transactions on Information Theory. 116–117. 11 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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