Robert M. Gower
Impact in
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
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- Sparse and Compressive Sensing Techniques
Papers in
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- Sparse and Compressive Sensing Techniques 8
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- Stochastic Gradient Optimization Techniques 6
- Co-authors
- Peter Richtárik (2 shared papers)Deanna Needell (1 shared paper)Alessandro Lazaric (1 shared paper)Yili Xia (2 shared papers)Zheng Wang (2 shared papers)Yongming Huang (2 shared papers)Dirk A. Lorenz (1 shared paper)Artur L. Gower (2 shared papers)
- Journals
- SIAM Journal on Matrix Analysis and Applications (3 papers)Journal of Optimization Theory and Applications (1 paper)Computational Optimization and Applications (1 paper)IEEE Transactions on Wireless Communications (1 paper)Optimization methods & software (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Robert M. Gower
13 papers receiving 131 citations
Peers
Comparison fields: 5 of 33
- Numerical Analysis 46
- Computational Mechanics 58
- Artificial Intelligence 60
- Computational Theory and Mathematics 29
- Computational Mathematics 1
Countries citing papers authored by Robert M. Gower
This map shows the geographic impact of Robert M. Gower'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 Robert M. Gower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Gower more than expected).
Fields of papers citing papers by Robert M. Gower
This network shows the impact of papers produced by Robert M. Gower. 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 Robert M. Gower. The network helps show where Robert M. Gower may publish in the future.
Co-authors
The 14 scholars most cited alongside Robert M. Gower, 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 | 2021 | 39 | |
| 2 | 2017 | 25 | |
| 3 | 2022 | 16 | |
| 4 | 2022 | 12 | |
| 5 | 2011 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2018 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2014 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 1 |
About Robert M. Gower
Robert M. Gower is a scholar working on Computational Mechanics, Artificial Intelligence, Numerical Analysis, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 13 papers that have together received 133 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Advanced Optimization Algorithms Research (6 papers), Stochastic Gradient Optimization Techniques (6 papers), Matrix Theory and Algorithms (3 papers), Advanced MIMO Systems Optimization (2 papers), Iterative Methods for Nonlinear Equations (1 paper), Microwave Imaging and Scattering Analysis (1 paper) and Cooperative Communication and Network Coding (1 paper). The work is most often cited by research in Numerical Analysis (46 citations), Computational Mechanics (58 citations), Artificial Intelligence (60 citations), Computational Theory and Mathematics (29 citations) and Computational Mathematics (1 citation). Robert M. Gower has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Peter Richtárik, Deanna Needell, Alessandro Lazaric, Yili Xia, Zheng Wang, Yongming Huang, Dirk A. Lorenz, Artur L. Gower, Cheng Zhang and Shanxiang Lyu. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Journal of Optimization Theory and Applications, Computational Optimization and Applications, IEEE Transactions on Wireless Communications and Optimization methods & software.
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.