Matthew Bernhard
- Signal Processing top 1%
- Advanced Malware Detection Techniques 2
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- Network Security and Intrusion Detection 2
- Peer-to-Peer Network Technologies 1
- Artificial Intelligence top 2%
- Internet Traffic Analysis and Secure E-voting 6
- Information Systems top 5%
- User Authentication and Security Systems 2
- Blockchain Technology Applications and Security 2
- Spam and Phishing Detection 1
- Hardware and Architecture top 10%
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- Anesthesia and Pain Management 1
- Co-authors
- J. Alex HaldermanZakir DurumericMichael BaileyDeepak KumarYi ZhouKurt ThomasLuca InvernizziMichalis Kallitsis
- Journals
- Spine (1 paper)Lecture notes in computer science (2 papers)USENIX Security Symposium (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Matthew Bernhard
10 papers receiving 858 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Signal Processing 485
- Computer Networks and Communications 664
- Artificial Intelligence 497
- Information Systems 249
- Hardware and Architecture 39
Countries citing papers authored by Matthew Bernhard
This map shows the geographic impact of Matthew Bernhard'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 Matthew Bernhard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Bernhard more than expected).
Fields of papers citing papers by Matthew Bernhard
This network shows the impact of papers produced by Matthew Bernhard. 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 Matthew Bernhard. The network helps show where Matthew Bernhard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Bernhard, 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 | 2021 | 8 | |
| 2 | Election Security Is Harder Than You Think | 2020 | 1 |
| 3 | 2020 | 12 | |
| 4 | 2020 | 30 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 14 | |
| 8 | Understanding the mirai botnetbreakdown → | 2017 | 744 |
| 9 | 2016 | 50 | |
| 10 | 1998 | 20 |
About Matthew Bernhard
Matthew Bernhard is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Pathology and Forensic Medicine, having authored 10 papers that have together received 890 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), User Authentication and Security Systems (2 papers), Blockchain Technology Applications and Security (2 papers), Network Security and Intrusion Detection (2 papers), Advanced Malware Detection Techniques (2 papers), Peer-to-Peer Network Technologies (1 paper), Spam and Phishing Detection (1 paper) and Anesthesia and Pain Management (1 paper). The work is most often cited by research in Signal Processing (485 citations), Computer Networks and Communications (664 citations), Artificial Intelligence (497 citations), Information Systems (249 citations) and Hardware and Architecture (39 citations). Matthew Bernhard has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include J. Alex Halderman, Zakir Durumeric, Michael Bailey, Deepak Kumar, Yi Zhou, Kurt Thomas, Luca Invernizzi, Michalis Kallitsis, Manos Antonakakis and Joshua Mason. Their work appears in journals such as Spine, Lecture notes in computer science, USENIX Security Symposium and Deep Blue (University of Michigan).
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.