Daniel Panario

2.0k citations
144 papers · 1.2k · h-index 17

Impact in

Papers in

Daniel Panario

131 papers receiving 1.1k citations

Peers

Daniel Panario
Comparison fields: 5 of 63
  • Discrete Mathematics and Combinatorics 182
  • Artificial Intelligence 828
  • Software 81
  • Algebra and Number Theory 82
  • Computational Theory and Mathematics 296
Replace Manindra Agrawal with:
Manindra Agrawal India
Gilles Zémor France
Simon R. Blackburn⋆ United Kingdom
Gérard Cohen France
Richard Beigel United States
Shmuel Zaks Israel
George Havas Australia
Rüdiger Loos Germany
Gyula O. H. Katona Hungary
Nader H. Bshouty Israel
Daniel Panario relative to Manindra Agrawal India Manindra Agrawal's profile →
Citations per field
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Manindra Agrawal · 1×
Citations per year

Countries citing papers authored by Daniel Panario

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Panario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013117
2 200963
3 200161
4 200060
5 200657
6 199535
7 199830
8 200128
9 201526
10 199723
11 201920
12 200619
13 201318
14 201018
15 199818
16 201517
17 201017
18 201115
19 201214
20 199614

About Daniel Panario

Daniel Panario is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Information Systems, having authored 144 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coding theory and cryptography (94 papers), graph theory and CDMA systems (34 papers), Cryptography and Residue Arithmetic (28 papers), Error Correcting Code Techniques (23 papers), Advanced Wireless Communication Techniques (20 papers), Cryptographic Implementations and Security (20 papers), Analytic Number Theory Research (15 papers) and Advanced Combinatorial Mathematics (13 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (182 citations), Artificial Intelligence (828 citations), Software (81 citations), Algebra and Number Theory (82 citations) and Computational Theory and Mathematics (296 citations). Daniel Panario has collaborated with scholars based in Canada, Brazil and Iran. Frequent co-authors include Gary L. Mullen, Joachim von zur Gathen, Mohammad‐Reza Sadeghi, Shuhong Gao, Brett Stevens, Lucia Moura, Qiang Wang, Juliano B. Lima, Philippe Flajolet and Xavier Gourdon. Their work appears in journals such as Designs Codes and Cryptography, Finite Fields and Their Applications, IEEE Transactions on Information Theory, Advances in Mathematics of Communications 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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