Dan Yamins

1.9k total citations · 2 hit papers
3 papers, 1.1k citations indexed

About

Dan Yamins is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Yamins has authored 3 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Dan Yamins's work include Machine Learning and Data Classification (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Advanced Vision and Imaging (1 paper). Dan Yamins is often cited by papers focused on Machine Learning and Data Classification (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Advanced Vision and Imaging (1 paper). Dan Yamins collaborates with scholars based in United States, Canada and Dominican Republic. Dan Yamins's co-authors include James Bergstra, David Cox, Brent Komer, Chris Eliasmith, Josh Tenenbaum, Daniel M. Bear, Jiajun Wu and Thomas O’Connell and has published in prestigious journals such as Journal of Vision and Proceedings of the Python in Science Conferences.

In The Last Decade

Dan Yamins

2 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hyperopt: a Python library for model selection and hyperparameter optimization

2015 636 citations James Bergstra, Brent Komer et al. profile →
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

2013 485 citations James Bergstra, Dan Yamins et al. Proceedings of the Python in Science Conferences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Yamins United States	2	393	128	123	108	98	3	1.1k
Brent Komer Canada	5	304 0.8×	119 0.9×	80 0.7×	90 0.8×	80 0.8×	7	862
Ying Xue China	3	331 0.8×	127 1.0×	140 1.1×	50 0.5×	106 1.1×	6	1.5k
François-Michel De Rainville Canada	7	417 1.1×	172 1.3×	116 0.9×	177 1.6×	115 1.2×	9	1.3k
Lars Kotthoff United States	11	859 2.2×	142 1.1×	154 1.3×	208 1.9×	125 1.3×	50	1.9k
Félix-Antoine Fortin Canada	6	469 1.2×	181 1.4×	112 0.9×	225 2.1×	120 1.2×	8	1.4k
Dong Xibin China	3	467 1.2×	131 1.0×	159 1.3×	37 0.3×	66 0.7×	8	1.3k
Dalwinder Singh India	10	420 1.1×	135 1.1×	164 1.3×	34 0.3×	84 0.9×	21	1.4k

Countries citing papers authored by Dan Yamins

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dan Yamins

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

All Works

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3 of 3 papers shown

1.

O’Connell, Thomas, et al.. (2023). Benchmarking Human Mid-Level Scene Understanding. Journal of Vision. 23(9). 5798–5798.

2.

Bergstra, James, Brent Komer, Chris Eliasmith, Dan Yamins, & David Cox. (2015). Hyperopt: a Python library for model selection and hyperparameter optimization. 8(1). 14008–14008. 636 indexed citations breakdown →

3.

Bergstra, James, Dan Yamins, & David Cox. (2013). Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms. Proceedings of the Python in Science Conferences. 13–19. 485 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Brent Komer Breakdown of academic impact, for papers by Ying Xue Breakdown of academic impact, for papers by François-Michel De Rainville Breakdown of academic impact, for papers by Lars Kotthoff Breakdown of academic impact, for papers by Félix-Antoine Fortin Breakdown of academic impact, for papers by Dong Xibin Breakdown of academic impact, for papers by Dalwinder Singh