Ryan Killick
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Black Holes and Theoretical Physics
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
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- Cosmology and Gravitation Theories
Papers in
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- Optimization and Search Problems 6
- Distributed systems and fault tolerance 4
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- Modular Robots and Swarm Intelligence 5
- Co-authors
- Heather E. Logan (2 shared papers)Kunal Kumar (2 shared papers)Jurek Czyzowicz (6 shared papers)Evangelos Kranakis (7 shared papers)Jaroslav Opatrný (3 shared papers)Konstantinos Georgiou (1 shared paper)Lata Narayanan (3 shared papers)Danny Kriz̧anc (4 shared papers)
- Journals
- Theoretical Computer Science (2 papers)Discrete Mathematics Algorithms and Applications (1 paper)Physical review. D. Particles, fields, gravitation, and cosmology (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (3 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Ryan Killick
7 papers receiving 48 citations
Peers
Comparison fields: 5 of 17
- Nuclear and High Energy Physics 30
- Astronomy and Astrophysics 11
- Computer Networks and Communications 15
- Computer Graphics and Computer-Aided Design 2
- Management Science and Operations Research 4
Countries citing papers authored by Ryan Killick
This map shows the geographic impact of Ryan Killick'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 Killick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Killick more than expected).
Fields of papers citing papers by Ryan Killick
This network shows the impact of papers produced by Ryan Killick. 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 Killick. The network helps show where Ryan Killick may publish in the future.
Co-authors
The 15 scholars most cited alongside Ryan Killick, 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 | 2013 | 29 | |
| 2 | 2019 | 6 | |
| 3 | 2019 | 5 | |
| 4 | 2020 | 3 | |
| 5 | 2018 | 2 | |
| 6 | 2019 | 2 | |
| 7 | Learning what the Higgs is mixed with | 2013 | 1 |
| 8 | 2021 | 0 | |
| 9 | 2019 | 0 |
About Ryan Killick
Ryan Killick is a scholar working on Computer Networks and Communications, Mechanical Engineering, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 9 papers that have together received 48 indexed citations. Recurring topics across this work include Optimization and Search Problems (6 papers), Modular Robots and Swarm Intelligence (5 papers), Distributed systems and fault tolerance (4 papers), Dark Matter and Cosmic Phenomena (2 papers), Particle physics theoretical and experimental studies (2 papers), Computational Geometry and Mesh Generation (1 paper), Complexity and Algorithms in Graphs (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (30 citations), Astronomy and Astrophysics (11 citations), Computer Networks and Communications (15 citations), Computer Graphics and Computer-Aided Design (2 citations) and Management Science and Operations Research (4 citations). Ryan Killick has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Heather E. Logan, Kunal Kumar, Jurek Czyzowicz, Evangelos Kranakis, Jaroslav Opatrný, Konstantinos Georgiou, Lata Narayanan, Danny Kriz̧anc, Sunil Shende and Leszek Gąsieniec. Their work appears in journals such as Theoretical Computer Science, Discrete Mathematics Algorithms and Applications, Physical review. D. Particles, fields, gravitation, and cosmology, DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) and arXiv (Cornell University).
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.