Nick Ryder
Impact in
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- Tensor decomposition and applications
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- Advanced Optimization Algorithms Research
Papers in
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- Graph theory and applications 1
- Advanced Topology and Set Theory 1
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- Advanced Graph Theory Research 2
- Matrix Theory and Algorithms 1
- Complexity and Algorithms in Graphs 1
- Co-authors
- Joseph M. Landsberg (1 shared paper)Grey Ballard (1 shared paper)Christian Ikenmeyer (1 shared paper)Ge Yang (1 shared paper)Jakub Pachocki (1 shared paper)David Farhi (1 shared paper)Xiaodong Liu (1 shared paper)Nikhil Srivastava (2 shared papers)
- Journals
- Journal of Pure and Applied Algebra (1 paper)Algebraic Combinatorics (1 paper)Symposium on Discrete Algorithms (1 paper)Society for Industrial and Applied Mathematics eBooks (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Nick Ryder
4 papers receiving 15 citations
Peers
Comparison fields: 5 of 14
- Computational Mathematics 5
- Numerical Analysis 5
- Computational Theory and Mathematics 10
- Computer Science Applications 2
- Statistical and Nonlinear Physics 4
Countries citing papers authored by Nick Ryder
This map shows the geographic impact of Nick Ryder'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 Nick Ryder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Ryder more than expected).
Fields of papers citing papers by Nick Ryder
This network shows the impact of papers produced by Nick Ryder. 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 Nick Ryder. The network helps show where Nick Ryder may publish in the future.
Co-authors
The 14 scholars most cited alongside Nick Ryder, 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 | Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer | 2021 | 7 |
| 2 | 2018 | 7 | |
| 3 | 2019 | 2 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 0 |
About Nick Ryder
Nick Ryder is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Computational Mathematics, Discrete Mathematics and Combinatorics and Numerical Analysis, having authored 5 papers that have together received 17 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (2 papers), Computational Physics and Python Applications (1 paper), Matrix Theory and Algorithms (1 paper), Advanced Optimization Algorithms Research (1 paper), Graph theory and applications (1 paper), Advanced Topology and Set Theory (1 paper), Complexity and Algorithms in Graphs (1 paper) and Advanced Combinatorial Mathematics (1 paper). The work is most often cited by research in Computational Mathematics (5 citations), Numerical Analysis (5 citations), Computational Theory and Mathematics (10 citations), Computer Science Applications (2 citations) and Statistical and Nonlinear Physics (4 citations). Nick Ryder has collaborated with scholars based in United States and Germany. Frequent co-authors include Joseph M. Landsberg, Grey Ballard, Christian Ikenmeyer, Ge Yang, Jakub Pachocki, David Farhi, Xiaodong Liu, Nikhil Srivastava, Prasad Raghavendra and J. Edward Hu. Their work appears in journals such as Journal of Pure and Applied Algebra, Algebraic Combinatorics, Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics eBooks and Neural Information Processing Systems.
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.