Dan O’Keeffe
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 2%
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
Papers in
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- Advanced Malware Detection Techniques 4
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- Distributed systems and fault tolerance 4
- Advanced Database Systems and Queries 2
- IoT and Edge/Fog Computing 2
- Energy Efficient Wireless Sensor Networks 2
- Co-authors
- Peter PietzuchDavid EyersDivya MuthukumaranChristian PriebeChristof FetzerJoshua LindDavid GoltzscheRüdiger Kapitza
- Journals
- Multiple Sclerosis and Related Disorders (1 paper)Proceedings of the VLDB Endowment (1 paper)Spiral (Imperial College London) (4 papers)2022 IEEE International Conference on Big Data (Big Data) (1 paper)Research Portal (King's College London) (1 paper)
- Partner nations
- United KingdomNew ZealandGermany
In The Last Decade
Dan O’Keeffe
16 papers receiving 450 citations
Hit Papers
Peers
Comparison fields: 5 of 24
- Signal Processing 167
- Information Systems 268
- Hardware and Architecture 76
- Artificial Intelligence 357
- Computer Networks and Communications 224
Countries citing papers authored by Dan O’Keeffe
This map shows the geographic impact of Dan O’Keeffe'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 Dan O’Keeffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan O’Keeffe more than expected).
Fields of papers citing papers by Dan O’Keeffe
This network shows the impact of papers produced by Dan O’Keeffe. 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 Dan O’Keeffe. The network helps show where Dan O’Keeffe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan O’Keeffe, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 4 | |
| 9 | 2018 | 26 | |
| 10 | 2018 | 19 | |
| 11 | Glamdring: automatic application partitioning for intel SGX | 2017 | 60 |
| 12 | SCONE: secure Linux containers with Intel SGX Hit paper breakdown → | 2016 | 297 |
| 13 | 2015 | 6 | |
| 14 | 2015 | 21 | |
| 15 | 2010 | 10 | |
| 16 | Distributed complex event detection for pervasive computing | 2010 | 5 |
| 17 | 2005 | 3 |
About Dan O’Keeffe
Dan O’Keeffe is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Software and Information Systems, having authored 17 papers that have together received 461 indexed citations. Recurring topics across this work include Security and Verification in Computing (6 papers), Distributed systems and fault tolerance (4 papers), Advanced Malware Detection Techniques (4 papers), Cloud Data Security Solutions (3 papers), Advanced Database Systems and Queries (2 papers), IoT and Edge/Fog Computing (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Web Application Security Vulnerabilities (2 papers). The work is most often cited by research in Signal Processing (167 citations), Information Systems (268 citations), Hardware and Architecture (76 citations), Artificial Intelligence (357 citations) and Computer Networks and Communications (224 citations). Dan O’Keeffe has collaborated with scholars based in United Kingdom, New Zealand and Germany. Frequent co-authors include Peter Pietzuch, David Eyers, Divya Muthukumaran, Christian Priebe, Christof Fetzer, Joshua Lind, David Goltzsche, Rüdiger Kapitza, Franz Gregor and Sergei Arnautov. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Proceedings of the VLDB Endowment, Spiral (Imperial College London), 2022 IEEE International Conference on Big Data (Big Data) and Research Portal (King's College London).
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.