Dan Yamins
- Artificial Intelligence top 5%
- Machine Learning and Data Classification 2
- Machine Learning and Algorithms 1
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- Advanced Multi-Objective Optimization Algorithms 2
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- Advanced Vision and Imaging 1
- Visual Attention and Saliency Detection 1
- Signal Processing top 10%
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- 3D Surveying and Cultural Heritage 1
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- Advanced Bandit Algorithms Research 1
- Co-authors
- David CoxJames BergstraBrent KomerChris EliasmithJosh TenenbaumDaniel M. BearJiajun WuThomas O’Connell
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- Journal of Vision (1 paper)Proceedings of the Python in Science Conferences (1 paper)
- Partner nations
- United StatesCanadaDominican Republic
In The Last Decade
Dan Yamins
2 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 393
- Computational Theory and Mathematics 108
- Computer Vision and Pattern Recognition 123
- Signal Processing 58
- Health Informatics 7
Countries citing papers authored by Dan Yamins
This map shows the geographic impact of Dan Yamins'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 Dan Yamins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yamins more than expected).
Fields of papers citing papers by Dan Yamins
This network shows the impact of papers produced by Dan Yamins. 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 Dan Yamins. The network helps show where Dan Yamins may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Dan Yamins, 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 | 2023 | 0 | |
| 2 | Hyperopt: a Python library for model selection and hyperparameter optimizationbreakdown → | 2015 | 636 |
| 3 | Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithmsbreakdown → | 2013 | 485 |
About Dan Yamins
Dan Yamins is a scholar working on Geology, Computational Theory and Mathematics and Management Science and Operations Research, having authored 3 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Advanced Vision and Imaging (1 paper), 3D Surveying and Cultural Heritage (1 paper), Advanced Bandit Algorithms Research (1 paper), Visual Attention and Saliency Detection (1 paper) and Machine Learning and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (393 citations), Computational Theory and Mathematics (108 citations) and Computer Vision and Pattern Recognition (123 citations). Dan Yamins has collaborated with scholars based in United States, Canada and Dominican Republic. Frequent co-authors include David Cox, James Bergstra, Brent Komer, Chris Eliasmith, Josh Tenenbaum, Daniel M. Bear, Jiajun Wu and Thomas O’Connell. Their work appears in journals such as Journal of Vision and Proceedings of the Python in Science Conferences.
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.