Sherry Moore
Impact in
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- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Machine Learning and ELM
Papers in
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- Interconnection Networks and Systems 2
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- Cloud Computing and Resource Management 1
- Co-authors
- Saurabh Saxena (1 shared paper)Alexey Kurakin (1 shared paper)Esteban Real (1 shared paper)Quoc V. Le (1 shared paper)Andrew Selle (1 shared paper)Jie Tan (1 shared paper)Lionel M. Ni (2 shared papers)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Sherry Moore
3 papers receiving 257 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 151
- Artificial Intelligence 193
- Hardware and Architecture 16
- Computational Mathematics 1
- Computer Networks and Communications 24
Countries citing papers authored by Sherry Moore
This map shows the geographic impact of Sherry Moore'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 Sherry Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherry Moore more than expected).
Fields of papers citing papers by Sherry Moore
This network shows the impact of papers produced by Sherry Moore. 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 Sherry Moore. The network helps show where Sherry Moore may publish in the future.
Co-authors
The 7 scholars most cited alongside Sherry Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Sherry Moore
Sherry Moore is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 3 papers that have together received 262 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (2 papers), Parallel Computing and Optimization Techniques (1 paper), Cloud Computing and Resource Management (1 paper), Reinforcement Learning in Robotics (1 paper), Evolutionary Algorithms and Applications (1 paper), Supercapacitor Materials and Fabrication (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Advancements in Battery Materials (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Artificial Intelligence (193 citations), Hardware and Architecture (16 citations), Computational Mathematics (1 citation) and Computer Networks and Communications (24 citations). Sherry Moore has collaborated with scholars based in United States and China. Frequent co-authors include Saurabh Saxena, Alexey Kurakin, Esteban Real, Quoc V. Le, Andrew Selle, Jie Tan and Lionel M. Ni. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Rare & Special e-Zone (The Hong Kong University of Science and Technology) 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.