Tim Moon
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Artificial Intelligence top 10%
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
Papers in
-
- Parallel Computing and Optimization Techniques 8
-
- Stochastic Gradient Optimization Techniques 2
- Co-authors
- Brian C. Van Essen (9 shared papers)Nikoli Dryden (5 shared papers)Sam Adé Jacobs (6 shared papers)Naoya Maruyama (3 shared papers)Marc Snir (3 shared papers)Andy Yoo (1 shared paper)David Hysom (2 shared papers)Ian Karlin (1 shared paper)
- Journals
- The International Journal of High Performance Computing Applications (1 paper)Proceedings - IEEE International Parallel and Distributed Processing Symposium (2 papers)2012 International Conference for High Performance Computing, Networking, Storage and Analysis (1 paper)IEEE International Conference on High Performance Computing, Data, and Analytics (1 paper)IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (1 paper)
- Partner nations
- United States
In The Last Decade
Tim Moon
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 19
- Hardware and Architecture 132
- Artificial Intelligence 148
- Computer Networks and Communications 56
- Computer Vision and Pattern Recognition 50
- Information Systems 27
Countries citing papers authored by Tim Moon
This map shows the geographic impact of Tim Moon'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 Tim Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Moon more than expected).
Fields of papers citing papers by Tim Moon
This network shows the impact of papers produced by Tim Moon. 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 Tim Moon. The network helps show where Tim Moon may publish in the future.
Co-authors
The 24 scholars most cited alongside Tim Moon, 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 | 2016 | 103 | |
| 2 | 2016 | 60 | |
| 3 | 2018 | 35 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 30 | |
| 6 | 2021 | 24 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 8 | |
| 9 | 2022 | 1 |
About Tim Moon
Tim Moon is a scholar working on Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 9 papers that have together received 312 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Stochastic Gradient Optimization Techniques (2 papers), Computational Drug Discovery Methods (1 paper) and Graph Theory and Algorithms (1 paper). The work is most often cited by research in Hardware and Architecture (132 citations), Artificial Intelligence (148 citations), Computer Networks and Communications (56 citations), Computer Vision and Pattern Recognition (50 citations) and Information Systems (27 citations). Tim Moon has collaborated with scholars based in United States. Frequent co-authors include Brian C. Van Essen, Nikoli Dryden, Sam Adé Jacobs, Naoya Maruyama, Marc Snir, Andy Yoo, David Hysom, Ian Karlin, Kevin McLoughlin and Dong H. Ahn. Their work appears in journals such as The International Journal of High Performance Computing Applications, Proceedings - IEEE International Parallel and Distributed Processing Symposium, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE International Conference on High Performance Computing, Data, and Analytics and IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
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.