Robert M. Gower

546 citations
13 papers · 127 indexed · h-index 6
Topics
Sparse and Compressive Sensing Techniques (8 papers)Advanced Optimization Algorithms Research (6 papers)Stochastic Gradient Optimization Techniques (6 papers)

In The Last Decade

Robert M. Gower

13 papers receiving 123 citations

Peers

Robert M. Gower
Comparison fields: 5 of 33
  • Computational Mechanics 58
  • Artificial Intelligence 57
  • Numerical Analysis 46
  • Computational Theory and Mathematics 28
  • Electrical and Electronic Engineering 22
Replace Federica Porta with:
Federica Porta Italy
Walaa M. Moursi Canada
Stephan Wojtowytsch United States
Andriy Bondarenko Ukraine
Christoph Koutschan Austria
Simone Brugiapaglia Canada
Yu. A. Blinkov Russia
Falk M. Hante Germany
Boris Venkov Russia
Dmitriy Bilyk United States
Robert M. Gower relative to Federica Porta Italy Federica Porta's profile →
Citations per field
00.5×4.4×
Federica Porta · 1×
Citations per year

Countries citing papers authored by Robert M. Gower

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert M. Gower

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Gower. A scholar is included among the top collaborators of Robert M. Gower based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert M. Gower. Robert M. Gower is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 9
3 4
4 11
5 3
6 2
7 16
8 36
9 5
10 24
11 4
12 2
13 10

About Robert M. Gower

Robert M. Gower is a scholar working on Acoustics and Ultrasonics, Numerical Analysis and Computational Mechanics, having authored 13 papers that have together received 127 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Advanced Optimization Algorithms Research (6 papers) and Stochastic Gradient Optimization Techniques (6 papers). The work is most often cited by research in Numerical Analysis (46 citations), Computational Mechanics (58 citations) and Artificial Intelligence (57 citations). 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, Zheng Wang, Dirk A. Lorenz, Yongming Huang, Yili Xia, Artur L. Gower, Cheng Zhang and Nicolas Loizou. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications and Mathematical Programming.

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.

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