Ryan Julian
Impact in
-
- Finite Group Theory Research
- Artificial Intelligence top 10%
- Coding theory and cryptography
- Reinforcement Learning in Robotics
Papers in
-
- Reinforcement Learning in Robotics 6
- Coding theory and cryptography 3
- Domain Adaptation and Few-Shot Learning 2
- Adversarial Robustness in Machine Learning 1
-
- Robot Manipulation and Learning 5
- Co-authors
- R. Julian R. Abel (5 shared papers)Charles J. Colbourn (1 shared paper)Jeffrey H. Dinitz (1 shared paper)Ronald S. Fearing (2 shared papers)Duncan W. Haldane (1 shared paper)Pieter Abbeel (1 shared paper)Karol Hausman (4 shared papers)Chelsea Finn (3 shared papers)
- Journals
- Discrete Applied Mathematics (1 paper)The International Journal of Robotics Research (1 paper)arXiv (Cornell University) (1 paper)Australas. J Comb. (2 papers)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Ryan Julian
11 papers receiving 199 citations
Peers
Comparison fields: 5 of 54
- Discrete Mathematics and Combinatorics 32
- Artificial Intelligence 108
- Computer Vision and Pattern Recognition 41
- Electrical and Electronic Engineering 88
- Aerospace Engineering 33
Countries citing papers authored by Ryan Julian
This map shows the geographic impact of Ryan Julian'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 Julian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Julian more than expected).
Fields of papers citing papers by Ryan Julian
This network shows the impact of papers produced by Ryan Julian. 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 Julian. The network helps show where Ryan Julian may publish in the future.
Co-authors
The 20 scholars most cited alongside Ryan Julian, 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 | 2006 | 69 | |
| 2 | 2012 | 49 | |
| 3 | Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning | 2019 | 28 |
| 4 | 2013 | 18 | |
| 5 | 2004 | 17 | |
| 6 | 2006 | 12 | |
| 7 | Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation | 2020 | 7 |
| 8 | 2022 | 4 | |
| 9 | GBRDs with block size 3 over odd order groups and groups of orders divisible by 2 but not 4 | 2012 | 2 |
| 10 | 2020 | 1 | |
| 11 | Existence of doubly near resolvable (v,4,3)-BIBDs | 2010 | 1 |
| 12 | Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning | 2020 | 0 |
| 13 | 2024 | 0 |
About Ryan Julian
Ryan Julian is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Discrete Mathematics and Combinatorics and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 208 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Robot Manipulation and Learning (5 papers), graph theory and CDMA systems (4 papers), Coding theory and cryptography (3 papers), Finite Group Theory Research (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (32 citations), Artificial Intelligence (108 citations), Computer Vision and Pattern Recognition (41 citations), Electrical and Electronic Engineering (88 citations) and Aerospace Engineering (33 citations). Ryan Julian has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include R. Julian R. Abel, Charles J. Colbourn, Jeffrey H. Dinitz, Ronald S. Fearing, Duncan W. Haldane, Pieter Abbeel, Karol Hausman, Chelsea Finn, Sergey Levine and Zhanpeng He. Their work appears in journals such as Discrete Applied Mathematics, The International Journal of Robotics Research, arXiv (Cornell University), Australas. J Comb. and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.