Zachary Kenton

585 citations
5 papers · 17 indexed · h-index 3
Topics
Machine Learning and ELM (2 papers)Stochastic Gradient Optimization Techniques (2 papers)Neural Networks and Applications (2 papers)
Journals
Artificial IntelligenceEdinburgh Research ExplorerarXiv (Cornell University)

In The Last Decade

Zachary Kenton

3 papers receiving 15 citations

Peers

Zachary Kenton
Comparison fields: 5 of 16
  • Artificial Intelligence 9
  • Safety Research 6
  • Computer Vision and Pattern Recognition 5
  • Information Systems 2
  • Cognitive Neuroscience 2
Replace Fan-Yun Sun with:
Fan-Yun Sun Taiwan
Thibault Laugel France
Edwin Andrés Quintero Salazar Colombia
William Herschel
Ioannis Papantonis United Kingdom
Nabiha Asghar Canada
Raquel Fernández Netherlands
Flavien Prost United States
Michael Tieu United States
Fenfei Guo China
Zachary Kenton relative to Fan-Yun Sun Taiwan Fan-Yun Sun's profile →
Citations per field
00.5×
Fan-Yun Sun · 1×
Citations per year

Countries citing papers authored by Zachary Kenton

Since Specialization
Citations

This map shows the geographic impact of Zachary Kenton'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 Zachary Kenton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zachary Kenton more than expected).

Fields of papers citing papers by Zachary Kenton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary Kenton. 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 Zachary Kenton. The network helps show where Zachary Kenton may publish in the future.

Co-authorship network of co-authors of Zachary Kenton

This figure shows the co-authorship network connecting the top 25 collaborators of Zachary Kenton. A scholar is included among the top collaborators of Zachary Kenton 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 Zachary Kenton. Zachary Kenton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 9
3
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
4
4
DNN's Sharpest Directions Along the SGD Trajectory.
1
5
Finding Flatter Minima with SGD
3

About Zachary Kenton

Zachary Kenton is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 17 indexed citations. Recurring topics across this work include Machine Learning and ELM (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Health Informatics (1 citation), Safety Research (6 citations) and Computer Science Applications (2 citations). Zachary Kenton has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent co-authors include Jonathan G. Richens, Ramana Kumar, Sebastian Farquhar, Tom Everitt, Stanisław Jastrzȩbski, Nicolas Ballas, Yoshua Bengio, Amos Storkey, Asja Fischer and Noah D. Goodman. Their work appears in journals such as Artificial Intelligence, Edinburgh Research Explorer 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.

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