William S. Moses
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 14
-
- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 4
- Distributed systems and fault tolerance 2
- Co-authors
- Tao B. SchardlCharles E. LeisersonOleksandr ZinenkoRongxuan ZhaoJohannes DoerfertSri Hari Krishna NarayananValentin ChuravyAlbert Cohen
- Journals
- ACM SIGPLAN Notices (1 paper)Proceedings of the ACM on Programming Languages (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
William S. Moses
16 papers receiving 183 citations
Peers
Comparison fields: 5 of 39
- Hardware and Architecture 139
- Computational Mathematics 5
- Software 17
- Computer Networks and Communications 89
- Computer Graphics and Computer-Aided Design 7
Countries citing papers authored by William S. Moses
This map shows the geographic impact of William S. Moses'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 William S. Moses with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Moses more than expected).
Fields of papers citing papers by William S. Moses
This network shows the impact of papers produced by William S. Moses. 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 William S. Moses. The network helps show where William S. Moses may publish in the future.
Co-authors
The 25 scholars most cited alongside William S. Moses, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 33 | |
| 10 | AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning | 2020 | 5 |
| 11 | 2019 | 2 | |
| 12 | 2019 | 29 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 10 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2017 | 30 |
About William S. Moses
William S. Moses is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence and Numerical Analysis, having authored 17 papers that have together received 192 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Cloud Computing and Resource Management (5 papers), Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (4 papers), Software Engineering Research (3 papers), Evolutionary Algorithms and Applications (3 papers), Distributed systems and fault tolerance (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (139 citations), Computational Mathematics (5 citations), Software (17 citations), Computer Networks and Communications (89 citations) and Computer Graphics and Computer-Aided Design (7 citations). William S. Moses has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Tao B. Schardl, Charles E. Leiserson, Oleksandr Zinenko, Rongxuan Zhao, Johannes Doerfert, Sri Hari Krishna Narayanan, Valentin Churavy, Albert Cohen, Zachary DeVito and Ion Stoica. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, ACM Transactions on Architecture and Code Optimization 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.