Gregory M. Zaverucha

1.1k citations
8 papers · 160 · h-index 5

Impact in

Papers in

Gregory M. Zaverucha

8 papers receiving 151 citations

Peers

Gregory M. Zaverucha
Comparison fields: 5 of 22
  • Computer Networks and Communications 106
  • Artificial Intelligence 51
  • Computer Vision and Pattern Recognition 22
  • Electrical and Electronic Engineering 50
  • Computational Theory and Mathematics 13
Replace Weirong Zhu with:
Weirong Zhu United States
Toshiaki Tanaka Japan
David C. Feldmeier United States
Matthieu Finiasz France
Wieland Fischer Germany
Shawn Ostermann United States
Vinh Lam United States
Vikram A. Saletore United States
Pil Joong Lee South Korea
Naif Tarafdar Canada
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Citations per field
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Citations per year

Countries citing papers authored by Gregory M. Zaverucha

Since Specialization
Citations

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

Fields of papers citing papers by Gregory M. Zaverucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M. Zaverucha. 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 Gregory M. Zaverucha. The network helps show where Gregory M. Zaverucha may publish in the future.

Co-authors

The 9 scholars most cited alongside Gregory M. Zaverucha, 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 Gregory M. Zaverucha Line = papers co-authored together Gregory M. Zaverucha links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007110
2 200818
3 201111
4 200810
5
Cryptographic Protocols of the Identity Mixer Library, v. 1.0
20097
6 20062
7
New Bounds for Generalized Separating Hash Families
20071
8 20101

About Gregory M. Zaverucha

Gregory M. Zaverucha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 8 papers that have together received 160 indexed citations. Recurring topics across this work include graph theory and CDMA systems (3 papers), Cryptography and Data Security (3 papers), Coding theory and cryptography (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Cryptographic Implementations and Security (2 papers), Advanced Authentication Protocols Security (1 paper), Access Control and Trust (1 paper) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (106 citations), Artificial Intelligence (51 citations), Computer Vision and Pattern Recognition (22 citations), Electrical and Electronic Engineering (50 citations) and Computational Theory and Mathematics (13 citations). Gregory M. Zaverucha has collaborated with scholars based in Canada, United Kingdom and Israel. Frequent co-authors include Urs Hengartner, Aniket Kate, Douglas R. Stinson, Tuvi Etzion, Simon R. Blackburn⋆, Thomas Groß, Dieter Sommer, Jan Camenisch and David R. Cheriton. Their work appears in journals such as Advances in Mathematics of Communications, Journal of Combinatorial Theory Series A, IEEE Transactions on Information Theory and Designs Codes and Cryptography.

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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