Joseph A. Akinyele

1.0k citations
6 papers · 600 indexed · 1 hit paper · h-index 5
Topics
Cryptography and Data Security (6 papers)Cryptographic Implementations and Security (4 papers)Coding theory and cryptography (2 papers)
Partner nations
United States

In The Last Decade

Joseph A. Akinyele

6 papers receiving 580 citations

Hit Papers

Charm: a framework for rapidly prototyping cryptosystems20132026201720212013100200300400

Peers

Joseph A. Akinyele
Comparison fields: 5 of 32
  • Artificial Intelligence 521
  • Information Systems 326
  • Computer Networks and Communications 132
  • Computational Theory and Mathematics 93
  • Electrical and Electronic Engineering 41
Replace Matthew W. Pagano with:
Matthew W. Pagano United States
Qingji Zheng United States
Xuyun Nie China
Alexander W. Dent United Kingdom
Angelo De Switzerland
Eugène van Heyst Netherlands
Ariel Nof Israel
Gil Segev Israel
Raphael M. Reischuk Switzerland
Hongbo Li China
Joseph A. Akinyele relative to Matthew W. Pagano United States Matthew W. Pagano's profile →
Citations per field
00.5×1.5×
Matthew W. Pagano · 1×
Citations per year

Countries citing papers authored by Joseph A. Akinyele

Since Specialization
Citations

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

Fields of papers citing papers by Joseph A. Akinyele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph A. Akinyele. 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 Joseph A. Akinyele. The network helps show where Joseph A. Akinyele may publish in the future.

Co-authorship network of co-authors of Joseph A. Akinyele

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph A. Akinyele. A scholar is included among the top collaborators of Joseph A. Akinyele 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 Joseph A. Akinyele. Joseph A. Akinyele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Joseph A. Akinyele

Joseph A. Akinyele is a scholar working on Artificial Intelligence, Information Systems and Infectious Diseases, having authored 6 papers that have together received 600 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers), Cryptographic Implementations and Security (4 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Artificial Intelligence (521 citations), Information Systems (326 citations) and Computational Theory and Mathematics (93 citations). Joseph A. Akinyele has collaborated with scholars based in United States. Frequent co-authors include Matthew W. Pagano, Aviel D. Rubin, Matthew Green, Christina Garman, Michael Rushanan, Ian Miers, Christoph U. Lehmann, Matthew Green, Zachary Peterson and Susan Hohenberger. Their work appears in journals such as Journal of Computer Security and Journal of Cryptographic Engineering.

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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