W. W. Peterson

2.7k total citations
29 papers, 1.4k citations indexed

About

W. W. Peterson is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, W. W. Peterson has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 11 papers in Computer Networks and Communications. Recurrent topics in W. W. Peterson's work include Coding theory and cryptography (12 papers), Cellular Automata and Applications (8 papers) and Advanced Data Storage Technologies (7 papers). W. W. Peterson is often cited by papers focused on Coding theory and cryptography (12 papers), Cellular Automata and Applications (8 papers) and Advanced Data Storage Technologies (7 papers). W. W. Peterson collaborates with scholars based in United States and Japan. W. W. Peterson's co-authors include Daniel G. Brown, Tadao Kasami, Shu Lin, Shu Lin, Edward Weldon, N. Tokura, Alain Fontaine, Neal Zierler, Daniel Gorenstein and M. O. Rabin and has published in prestigious journals such as IEEE Transactions on Information Theory, Communications of the ACM and American Mathematical Monthly.

In The Last Decade

W. W. Peterson

26 papers receiving 1.2k citations

Peers

W. W. Peterson
Comparison fields: 5 of 77
  • Artificial Intelligence 881
  • Electrical and Electronic Engineering 699
  • Computer Networks and Communications 601
  • Computational Theory and Mathematics 386
  • Hardware and Architecture 198
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Citations per field, relative to W. W. Peterson
W. W. Peterson · 1×
Citations per year, relative to W. W. Peterson
W. W. Peterson · 1×

Countries citing papers authored by W. W. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by W. W. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. W. Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of W. W. Peterson. A scholar is included among the top collaborators of W. W. Peterson 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 W. W. Peterson. W. W. Peterson 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
# Work Indexed citations
1 3
2 4
3 1
4
Introduction of programming languages.
4
5 82
6
Fortran IV and the IBM 360
0
7 68
8 84
9
PROBLEMS IN INFORMATION PROCESSING.
5
10
RELIABILITY BOUNDS FOR POLYPHASE CODES FOR THE GAUSSIAN CHANNEL.
2
11
AN INVESTIGATION OF METHODS OF DETECTING AND CORRECTING ERRORS IN DATA TRANSMISSION SYSTEMS.
0
12 1
13 170
14 50
15 155
16 29
17 19
18 21
19 69
20 1

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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