Daniel Matichuk
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 1
- Signal Processing top 10%
- Advanced Malware Detection Techniques 4
- Artificial Intelligence top 10%
- Security and Verification in Computing 7
- Logic, programming, and type systems 4
- Natural Language Processing Techniques 1
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- Distributed systems and fault tolerance 1
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- Cloud Data Security Solutions 2
- Software Engineering Research 1
- Co-authors
- Toby MurrayGerwin KleinXin GaoTimothy BourkePeter GammieMakarius WenzelJune AndronickRoss Jeffery
- Journals
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Journal of Automated Reasoning (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- Australia
In The Last Decade
Daniel Matichuk
8 papers receiving 158 citations
Peers
Comparison fields: 5 of 13
- Hardware and Architecture 46
- Signal Processing 67
- Artificial Intelligence 148
- Software 12
- Computer Networks and Communications 70
Countries citing papers authored by Daniel Matichuk
This map shows the geographic impact of Daniel Matichuk'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 Daniel Matichuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Matichuk more than expected).
Fields of papers citing papers by Daniel Matichuk
This network shows the impact of papers produced by Daniel Matichuk. 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 Daniel Matichuk. The network helps show where Daniel Matichuk may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Daniel Matichuk, 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 | 2017 | 6 | |
| 2 | Finite Machine Word Library. | 2016 | 2 |
| 3 | 2016 | 17 | |
| 4 | 2015 | 10 | |
| 5 | 2015 | 9 | |
| 6 | 2013 | 122 | |
| 7 | Noninterference for operating system kernels | 2012 | 3 |
| 8 | 2012 | 1 |
About Daniel Matichuk
Daniel Matichuk is a scholar working on Signal Processing, Software, Artificial Intelligence, Hardware and Architecture and Information Systems, having authored 8 papers that have together received 170 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Logic, programming, and type systems (4 papers), Advanced Malware Detection Techniques (4 papers), Cloud Data Security Solutions (2 papers), Distributed systems and fault tolerance (1 paper), Software Engineering Research (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (46 citations), Signal Processing (67 citations), Artificial Intelligence (148 citations), Software (12 citations) and Computer Networks and Communications (70 citations). Daniel Matichuk has collaborated with scholars based in Australia. Frequent co-authors include Toby Murray, Gerwin Klein, Xin Gao, Timothy Bourke, Peter Gammie, Makarius Wenzel, June Andronick, Ross Jeffery, Mark Staples and Gabriele Keller. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Automated Reasoning, Lecture notes in computer science, SHILAP Revista de lepidopterología and International Conference on Software 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.