Michael Rushanan
Impact in
- Information Systems top 2%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
- User Authentication and Security Systems
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
Papers in
-
- Distributed systems and fault tolerance 1
- Bluetooth and Wireless Communication Technologies 1
-
- Security and Verification in Computing 2
- Cryptographic Implementations and Security 2
- Cryptography and Data Security 1
- Co-authors
- Aviel D. Rubin (4 shared papers)Christina Garman (2 shared papers)Ian Miers (2 shared papers)Matthew Green (1 shared paper)Joseph A. Akinyele (1 shared paper)Matthew W. Pagano (1 shared paper)Colleen M. Swanson (1 shared paper)Denis Foo Kune (1 shared paper)
- Partner nations
- United States
In The Last Decade
Michael Rushanan
6 papers receiving 616 citations
Michael Rushanan's Hit Papers
Peers
Comparison fields: 5 of 44
- Information Systems 309
- Artificial Intelligence 442
- Computer Networks and Communications 185
- Computational Theory and Mathematics 74
- Signal Processing 37
Countries citing papers authored by Michael Rushanan
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
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 14 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Charm: a framework for rapidly prototyping cryptosystems Hit paper breakdown → | 2013 | 444 |
| 2 | 2014 | 163 | |
| 3 | Dancing on the lip of the volcano: chosen ciphertext attacks on apple imessage | 2016 | 18 |
| 4 | 2016 | 9 | |
| 5 | Run-DMA | 2015 | 3 |
| 6 | Classifying Network Protocol Implementation Versions: An OpenSSL Case Study | 2013 | 1 |
About Michael Rushanan
Michael Rushanan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 6 papers that have together received 638 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (2 papers), Security and Verification in Computing (2 papers), Cryptographic Implementations and Security (2 papers), Indoor and Outdoor Localization Technologies (1 paper), Distributed systems and fault tolerance (1 paper), Bluetooth and Wireless Communication Technologies (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Information Systems (309 citations), Artificial Intelligence (442 citations), Computer Networks and Communications (185 citations), Computational Theory and Mathematics (74 citations) and Signal Processing (37 citations). Michael Rushanan has collaborated with scholars based in United States. Frequent co-authors include Aviel D. Rubin, Christina Garman, Ian Miers, Matthew Green, Joseph A. Akinyele, Matthew W. Pagano, Colleen M. Swanson, Denis Foo Kune, Matthew Green and Gabriel Kaptchuk. Their work appears in journals such as 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.