William E. Burr

1.9k citations
32 papers · 692 · h-index 12

Impact in

Papers in

William E. Burr

27 papers receiving 606 citations

Peers

William E. Burr
Comparison fields: 5 of 72
  • Hardware and Architecture 95
  • Computer Vision and Pattern Recognition 244
  • Artificial Intelligence 372
  • Signal Processing 107
  • Computer Networks and Communications 197
Replace Behrouz A. Forouzan with:
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Citations per year

Countries citing papers authored by William E. Burr

Since Specialization
Citations

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

Fields of papers citing papers by William E. Burr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Burr. 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 William E. Burr. The network helps show where William E. Burr may publish in the future.

Co-authors

The 25 scholars most cited alongside William E. Burr, 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 William E. Burr Line = papers co-authored together William E. Burr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001284
2
SP 800-57. Recommendation for Key Management, Part 1: General (revised)
200776
3 200373
4 200539
5 198635
6 197723
7 200623
8
Electronic Authentication Guideline : Recommendations of the National Institute of Standards and Technology
200422
9
Electronic Authentication Guideline: Recommendations of the National Institute of Standards and Technology (Special Publication 800-63-1)
201216
10 201013
11
SP 800-63-1. Electronic Authentication Guideline
201113
12 198312
13 197711
14 19779
15 19947
16 19775
17 19775
18
Electronic Authentication Guideline | NIST
20044
19 20084
20 20133

About William E. Burr

William E. Burr is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Control and Systems Engineering, having authored 32 papers that have together received 692 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (5 papers), Advanced Authentication Protocols Security (4 papers), Chaos-based Image/Signal Encryption (4 papers), Coding theory and cryptography (3 papers), Military Strategy and Technology (3 papers), Technology Assessment and Management (3 papers), Wireless Networks and Protocols (3 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Hardware and Architecture (95 citations), Computer Vision and Pattern Recognition (244 citations), Artificial Intelligence (372 citations), Signal Processing (107 citations) and Computer Networks and Communications (197 citations). William E. Burr has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include James Nechvatal, Edward Roback, Lawrence E. Bassham, Morris J. Dworkin, William T. Polk, Elaine B. Barker, William C. Barker, Miles E. Smid, Samuel H. Fuller and Donna Dodson. Their work appears in journals such as IEEE Security & Privacy, Computer, IT Professional, IEEE Transactions on Communications and IEEE Communications Magazine.

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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