Gavin Taylor
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
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- Advanced Neural Network Applications
Papers in
-
- Adversarial Robustness in Machine Learning 4
- Reinforcement Learning in Robotics 3
- Machine Learning and ELM 2
- Stochastic Gradient Optimization Techniques 2
- Neural Networks and Applications 2
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- Advanced Multi-Objective Optimization Algorithms 2
- Co-authors
- Tom Goldstein (7 shared papers)Ronald Parr (3 shared papers)Zheng Xu (3 shared papers)Christoph Studer (2 shared papers)Hao Li (2 shared papers)Lihong Li (1 shared paper)Michael L. Littman (1 shared paper)Ankit Patel (1 shared paper)
- Journals
- JMIR mhealth and uhealth (1 paper)Future Generation Computer Systems (1 paper)Sensors (1 paper)Systems Engineering (1 paper)Cryptologia (1 paper)
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Gavin Taylor
20 papers receiving 632 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 397
- Computer Vision and Pattern Recognition 150
- Computational Mathematics 4
- Computational Theory and Mathematics 74
- Management Science and Operations Research 51
Countries citing papers authored by Gavin Taylor
This map shows the geographic impact of Gavin Taylor'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 Gavin Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Taylor more than expected).
Fields of papers citing papers by Gavin Taylor
This network shows the impact of papers produced by Gavin Taylor. 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 Gavin Taylor. The network helps show where Gavin Taylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 178 | |
| 2 | Neural Networks and Their Applications | 1996 | 85 |
| 3 | 2008 | 80 | |
| 4 | 2009 | 66 | |
| 5 | 2016 | 65 | |
| 6 | 2022 | 57 | |
| 7 | LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition | 2021 | 39 |
| 8 | 2010 | 32 | |
| 9 | 2021 | 12 | |
| 10 | 2019 | 10 | |
| 11 | Adaptive Consensus ADMM for Distributed Optimization | 2017 | 8 |
| 12 | 2016 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2019 | 5 | |
| 17 | MetaPoison: Practical General-purpose Clean-label Data Poisoning | 2020 | 3 |
| 18 | Introduction to the Symposium on AI and the Mitigation of Human Error | 2016 | 1 |
| 19 | 2022 | 1 | |
| 20 | 2018 | 1 |
About Gavin Taylor
Gavin Taylor is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, General Health Professions, Statistical and Nonlinear Physics and Computer Science Applications, having authored 22 papers that have together received 668 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Reinforcement Learning in Robotics (3 papers), Risk and Safety Analysis (2 papers), Mobile Health and mHealth Applications (2 papers), Machine Learning and ELM (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Neural Networks and Applications (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (397 citations), Computer Vision and Pattern Recognition (150 citations), Computational Mathematics (4 citations), Computational Theory and Mathematics (74 citations) and Management Science and Operations Research (51 citations). Gavin Taylor has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Tom Goldstein, Ronald Parr, Zheng Xu, Christoph Studer, Hao Li, Lihong Li, Michael L. Littman, Ankit Patel, Bharat Singh and Chen Zhu. Their work appears in journals such as JMIR mhealth and uhealth, Future Generation Computer Systems, Sensors, Systems Engineering and Cryptologia.
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.