Ryan McKenna
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
-
- Privacy-Preserving Technologies in Data 10
- Cryptography and Data Security 7
- Co-authors
- Gerome Miklau (8 shared papers)Michael Hay (5 shared papers)Ashwin Machanavajjhala (5 shared papers)Daniel Sheldon (4 shared papers)James Clause (2 shared papers)Cagri Sahin (2 shared papers)David Saurı́ (1 shared paper)Stephen Herbein (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Medical Teacher (1 paper)ACM Transactions on Database Systems (1 paper)Journal of the Intensive Care Society (1 paper)Ultrasound Quarterly (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan McKenna
16 papers receiving 327 citations
Peers
Comparison fields: 5 of 55
- Computer Science Applications 44
- Artificial Intelligence 171
- Computer Networks and Communications 92
- Hardware and Architecture 24
- Safety Research 26
Countries citing papers authored by Ryan McKenna
This map shows the geographic impact of Ryan McKenna'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 Ryan McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan McKenna more than expected).
Fields of papers citing papers by Ryan McKenna
This network shows the impact of papers produced by Ryan McKenna. 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 Ryan McKenna. The network helps show where Ryan McKenna may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan McKenna, 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 | 2018 | 54 | |
| 2 | 2020 | 52 | |
| 3 | 2014 | 45 | |
| 4 | 2016 | 42 | |
| 5 | 2016 | 38 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 16 | |
| 10 | 2024 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2017 | 4 | |
| 13 | Financing And Funding A Simulation Center | 2021 | 4 |
| 14 | 2020 | 3 | |
| 15 | Permute-and-Flip: A new mechanism for differentially private selection | 2020 | 1 |
| 16 | 2023 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2025 | 0 |
About Ryan McKenna
Ryan McKenna is a scholar working on Artificial Intelligence, Computer Networks and Communications, Physiology, Electrical and Electronic Engineering and Surgery, having authored 19 papers that have together received 341 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Cryptography and Data Security (7 papers), Simulation-Based Education in Healthcare (4 papers), Green IT and Sustainability (2 papers), Surgical Simulation and Training (2 papers), Virtual Reality Applications and Impacts (2 papers), Energy Harvesting in Wireless Networks (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Computer Science Applications (44 citations), Artificial Intelligence (171 citations), Computer Networks and Communications (92 citations), Hardware and Architecture (24 citations) and Safety Research (26 citations). Ryan McKenna has collaborated with scholars based in United States. Frequent co-authors include Gerome Miklau, Michael Hay, Ashwin Machanavajjhala, Daniel Sheldon, James Clause, Cagri Sahin, David Saurı́, Stephen Herbein, Michela Taufer and Adam Moody. Their work appears in journals such as Proceedings of the VLDB Endowment, Medical Teacher, ACM Transactions on Database Systems, Journal of the Intensive Care Society and Ultrasound Quarterly.
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.