Michael Rushanan

12 total papers · 954 total citations
6 papers, 634 citations indexed

About

Michael Rushanan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Michael Rushanan has authored 6 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Michael Rushanan's work include Cryptographic Implementations and Security (2 papers), Security and Verification in Computing (2 papers) and Advanced Malware Detection Techniques (2 papers). Michael Rushanan is often cited by papers focused on Cryptographic Implementations and Security (2 papers), Security and Verification in Computing (2 papers) and Advanced Malware Detection Techniques (2 papers). Michael Rushanan collaborates with scholars based in United States. Michael Rushanan's co-authors include Aviel D. Rubin, Christina Garman, Ian Miers, Matthew Green, Matthew W. Pagano, Joseph A. Akinyele, Denis Foo Kune, Colleen M. Swanson, Matthew Green and Gabriel Kaptchuk and has published in prestigious journals such as Journal of Cryptographic Engineering.

In The Last Decade

Michael Rushanan

6 papers receiving 612 citations

Hit Papers

Charm: a framework for ra... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Rushanan 441 307 185 104 74 6 634
Matthew Pirretti 335 0.8× 203 0.7× 382 2.1× 16 0.2× 74 1.0× 11 681
Matthew W. Pagano 508 1.2× 365 1.2× 143 0.8× 11 0.1× 80 1.1× 9 629
Sanaz Rahimi Moosavi 166 0.4× 358 1.2× 498 2.7× 123 1.2× 17 0.2× 21 722
Joseph A. Akinyele 520 1.2× 324 1.1× 132 0.7× 10 0.1× 93 1.3× 6 596
Simon Heron 517 1.2× 186 0.6× 197 1.1× 19 0.2× 39 0.5× 8 768
Nachiketh Potlapally 316 0.7× 194 0.6× 452 2.4× 26 0.3× 13 0.2× 17 744
Weiwei Jia 365 0.8× 457 1.5× 242 1.3× 14 0.1× 12 0.2× 19 650
Hangyu Zhu 662 1.5× 84 0.3× 115 0.6× 16 0.2× 17 0.2× 12 783
Sandeep S. Kumar 180 0.4× 220 0.7× 316 1.7× 27 0.3× 11 0.1× 11 692
Denis Foo Kune 220 0.5× 180 0.6× 305 1.6× 169 1.6× 6 0.1× 17 653

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-authorship network of co-authors of Michael Rushanan

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

All Works

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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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