Tor Helleseth

9.1k citations
336 papers · 6.4k · h-index 40

Impact in

Papers in

Tor Helleseth

325 papers receiving 6k citations

Peers

Tor Helleseth
Comparison fields: 5 of 54
  • Artificial Intelligence 6k
  • Discrete Mathematics and Combinatorics 202
  • Algebra and Number Theory 132
  • Geometry and Topology 150
  • Computer Networks and Communications 170
Replace Cunsheng Ding with:
Cunsheng Ding Hong Kong
Vera S. Pless United States
P. Vijay Kumar United States
W. Cary Huffman United States
Joachim Rosenthal United States
Tom Høholdt Denmark
Lloyd R. Welch United States
Gilles Zémor France
Daniel Panario Canada
D.K. Ray-Chaudhuri United States
Tor Helleseth relative to Cunsheng Ding Hong Kong Cunsheng Ding's profile →
Citations per field
00.5×1.5×2.2×
Cunsheng Ding · 1×
Citations per year

Countries citing papers authored by Tor Helleseth

Since Specialization
Citations

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

Fields of papers citing papers by Tor Helleseth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 336 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976221
2 2006177
3 1977142
4 2016135
5 2001127
6 2015124
7 1995117
8 1998106
9 1999103
10 199298
11 201398
12 199692
13 199991
14 199991
15 200787
16 197886
17 200682
18 199878
19 200174
20 200773

About Tor Helleseth

Tor Helleseth is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 336 papers that have together received 6.4k indexed citations. Recurring topics across this work include Coding theory and cryptography (322 papers), Cryptographic Implementations and Security (10 papers), Advanced Combinatorial Mathematics (5 papers), Finite Group Theory Research (4 papers), Cryptography and Data Security (3 papers), Cryptography and Residue Arithmetic (2 papers), Mathematical Analysis and Transform Methods (1 paper) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (6k citations), Discrete Mathematics and Combinatorics (202 citations), Algebra and Number Theory (132 citations), Geometry and Topology (150 citations) and Computer Networks and Communications (170 citations). Tor Helleseth has collaborated with scholars based in Norway, China and United States. Frequent co-authors include Cunsheng Ding, Alexander Kholosha, Torleiv Kløve, P. Vijay Kumar, Nian Li, Chunlei Li, Zhengchun Zhou, H.M. Martinsen, Xiangyong Zeng and Sondre Rønjom. Their work appears in journals such as IEEE Transactions on Information Theory, Designs Codes and Cryptography, Discrete Mathematics, Finite Fields and Their Applications and Cryptography and 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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