Niv Giladi
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Topics
- Machine Learning and Data Classification (2 papers)Stochastic Gradient Optimization Techniques (1 paper)Neural Networks and Applications (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputational Theory and Mathematics
- Journals
- SensorsRepository for Publications and Research Data (ETH Zurich)arXiv (Cornell University)
- Partner nations
- IsraelSwitzerlandUnited States
In The Last Decade
Niv Giladi
3 papers receiving 156 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 76
- Computer Vision and Pattern Recognition 73
- Materials Chemistry 20
- Control and Systems Engineering 19
- Electrical and Electronic Engineering 18
Countries citing papers authored by Niv Giladi
This map shows the geographic impact of Niv Giladi'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 Niv Giladi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niv Giladi more than expected).
Fields of papers citing papers by Niv Giladi
This network shows the impact of papers produced by Niv Giladi. 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 Niv Giladi. The network helps show where Niv Giladi may publish in the future.
Co-authorship network of co-authors of Niv Giladi
This figure shows the co-authorship network connecting the top 25 collaborators of Niv Giladi. A scholar is included among the top collaborators of Niv Giladi 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 Niv Giladi. Niv Giladi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? | 1 |
| 3 | 90 |
About Niv Giladi
Niv Giladi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 3 papers that have together received 162 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Stochastic Gradient Optimization Techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (76 citations) and Computational Theory and Mathematics (17 citations). Niv Giladi has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Ethan Fetaya, Dan Levi, Daniel Soudry, Elad Hoffer, Torsten Hoefler, Tal Ben‐Nun and Itay Hubara. Their work appears in journals such as Sensors, Repository for Publications and Research Data (ETH Zurich) 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.