Michael Rushanan

974 citations
7 papers · 737 · 1 hit paper · h-index 5

Impact in

    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Cloud Data Security Solutions
    • Blockchain Technology Applications and Security
    • User Authentication and Security Systems

Papers in

Michael Rushanan

7 papers receiving 713 citations

Michael Rushanan's Hit Papers

Charm: a framework for rapidly prototyping cryptosystems 2013 · 507 citations
5070+4+8Years since publication100200300400500

Peers

Michael Rushanan
Comparison fields: 5 of 47
  • Artificial Intelligence 513
  • Information Systems 349
  • Computer Networks and Communications 210
  • Computational Theory and Mathematics 92
  • Signal Processing 50
Replace Kim Thuat Nguyen with:
Kim Thuat Nguyen France
Che Wun Chiou Taiwan
Sanaz Rahimi Moosavi Finland
Ruei‐Hau Hsu Taiwan
Mimi Ma China
Nouha Oualha France
Daiyuan Peng China
Yitao Chen China
Haipeng Qu China
John Backes United States
Michael Rushanan relative to Kim Thuat Nguyen France Kim Thuat Nguyen's profile →
Citations per field
00.5×2×2.9×
Kim Thuat Nguyen · 1×
Citations per year

Countries citing papers authored by Michael Rushanan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rushanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Michael Rushanan, 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 Michael Rushanan Line = papers co-authored together Michael Rushanan links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Michael Rushanan

Michael Rushanan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 7 papers that have together received 737 indexed citations. Recurring topics across this work include Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Cryptographic Implementations and Security (2 papers), Bluetooth and Wireless Communication Technologies (1 paper), Cryptography and Data Security (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Network Packet Processing and Optimization (1 paper). The work is most often cited by research in Artificial Intelligence (513 citations), Information Systems (349 citations), Computer Networks and Communications (210 citations), Computational Theory and Mathematics (92 citations) and Signal Processing (50 citations). Michael Rushanan has collaborated with scholars based in United States. Frequent co-authors include Aviel D. Rubin, Christina Garman, Ian Miers, Matthew W. Pagano, Matthew Green, Joseph A. Akinyele, Denis Foo Kune, Colleen M. Swanson, Matthew Green and Gabriel Kaptchuk. Their work appears in journals such as Journal of Cryptographic Engineering and Lecture notes in computer science.

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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